See how you stack up!

Codecademy Subjects

• SQL - Table Transformations

  This Interactive Skill Benchmark covers SQL table transformation skills including subqueries, set operations, conditional aggregation, and data manipulation using date, numeric, and string functions in SQL. A learner who scores high on the Table Transformations SQL Interactive Skill Benchmark has demonstrated their fundamental understanding of advanced SQL concepts and their ability to implement them using SQL syntax.

• JavaScript Nonlinear Data Structures

  This Interactive Skill Benchmark covers nonlinear data structures, including hashmaps, trees, binary search trees, heaps, and graphs. A learner who scores high on the JavaScript Nonlinear Data Structures Interactive Skill Benchmark has demonstrated their fundamental understanding of nonlinear data structures and their ability to implement them using JavaScript syntax.

• Feature Engineering for Data Scientists

  This Interactive Skill Benchmark covers essential skills including feature engineering methods such as filter and wrapper methods, regularization, calculating feature importance and dimensionality reduction techniques. A learner who scores high on the Feature Engineering for Data Scientists Interactive Skill Benchmark has demonstrated their fundamental understanding of engineering features in a dataset to facilitate efficient implementation of machine learning models.

• Java - Programming Fundamentals

  This Interactive Skill Benchmark covers essential Java Fundamentals including: creating a Java program that can be compiled and executed to print to the terminal, manipulating variables of different data types using operators and methods, and implementing control flow using if, else if, else, switch, and conditional operators. It also encompasses creating classes and objects to model real-life data, using Array and ArrayList to store, access, and manipulate elements, and employing loops to iterate over collections. The benchmark also tests the ability to call methods on String objects for string manipulation, use scope and keywords to access values and methods in a program, and create classes that inherit and can override fields and methods from other classes. Key skills such as debugging programs by identifying errors from messages, and traversing and accessing elements in a two-dimensional array are also assessed. A learner who scores high on the Java Programming Fundamentals Interactive Skill Benchmark has shown their comprehensive understanding of these core programming concepts and their ability to implement them using Java syntax.

• Python for Data Science

  This Interactive Skill Benchmark covers essential skills needed for data science with the Python package Pandas, such as importing and modifying datasets, manipulating DataFrames, working with functions, combining and summarizing datasets, managing complex datasets, and applying custom data manipulation functions across datasets. A learner who scores high on the Python for Data Science Interactive Skill Benchmark has demonstrated their fundamental understanding of core Pandas concepts needed for data science with Python.

• Java Nonlinear Data Structures

  This Interactive Skill Benchmark covers key aspects of Java Nonlinear Data Structures, including creating and implementing a HashMap that assigns and retrieves values. It also covers creating and implementing a Tree data structure using nodes that add and remove values and allow for traversal. Additionally, it includes Heap data structures that can track a minimum element, add elements, remove the minimum element, and maintain the heap condition. Graph data structures that add vertices, remove vertices, connect vertices, and remove vertex connections are also covered. A learner who scores high on the Java Nonlinear Data Structures Interactive Skill Benchmark has demonstrated their fundamental understanding of these core data structure concepts and the ability to implement them using Java syntax.

• Intermediate Python

  This Interactive Skill Benchmark covers essential skills, including topics such as: defining functions using *args and **kwargs, accessing values and functions using namespaces and scope, creating lambda functions and executing higher-order functions, implementing inheritance, polymorphism, abstraction, and encapsulation, error handling and creating exceptions, and performing create, read, update, delete (CRUD) operations in Python. A learner who scores high on the Intermediate Python Interactive Skill Benchmark has demonstrated their intermediate understanding of these concepts and their ability to implement them using Python syntax

• Python Nonlinear Data Structures

  This Interactive Skill Benchmark covers nonlinear data structures, including hashmaps, trees, binary search trees, heaps, and graphs. A learner who scores high on the Python Nonlinear Data Structures Interactive Skill Benchmark has demonstrated their fundamental understanding of nonlinear data structures and their ability to implement them using Python syntax.

• Intermediate Java

  This Interactive Skill Benchmark covers key aspects of Intermediate Java programming such as: developing programs that accept user inputs and provide outputs, persisting objects using the Serializable interface, and applying principles of generics for effective utilization of the collections framework. It also tests proficiency in creating nested classes, implementing threading for simultaneous execution of multiple tasks, matching patterns using regular expressions, and writing tests using JUnit. A learner who scores high on the Intermediate Java Programming Interactive Skill Benchmark has demonstrated their fundamental understanding of these intermediate-level Java programming concepts and their ability to implement them using Java syntax.

• Python Linear Data Structures

  This Interactive Skill Benchmark covers essential data structures and their implementation in Python, including topics such as: constructing a node data structure that can store a value, set the next node, and get the next node; creating and manipulating nodes in a singly linked list; creating and manipulating nodes in a doubly linked list; implementing a queue data structure using nodes; and implementing a stack data structure using nodes in Python. A learner who scores high on the Python Data Structures Interactive Skill Benchmark has demonstrated their fundamental understanding of these core data structure concepts and their ability to implement them using Python syntax.

• C Programming Fundamentals Part 1

  This Interactive Skill Benchmark covers essential skills in C programming, including compiling and executing programs, handling various data types, manipulating variables with operators, and controlling program flow using conditional statements and operators. A learner who scores high on the C Programming Fundamentals Part 1 Interactive Skill Benchmark has demonstrated their fundamental understanding of core programming concepts and their ability to implement them using C syntax.

• Data Cleaning with Python

  This Interactive Skill Benchmark covers essential skills to perform data cleaning and preprocessing using Pandas. A learner who scores high on the Data Cleaning with Python Interactive Skill Benchmark has demonstrated their fundamental understanding of data cleaning concepts and their ability to implement them using Pandas syntax.

• R Fundamentals Part 1

  This Interactive Skill Benchmark covers foundational data skills in R, including data manipulation and reshaping, summary statistics, data joins, and basic data visualization. A learner who scores high on the R Interactive Skill Benchmark has demonstrated their understanding of core data concepts and their ability to implement them using correct R syntax and dplyr, tidyr, stringr, and ggplot2 packages.

• Next.js Fundamentals

  This Interactive Skill Benchmark covers a comprehensive range of essential skills for developing high-performance Next.js web applications using routing, server components, data fetching, and optimization. A learner who scores high on the Next.js Interactive Skill Benchmark has demonstrated a deep and practical understanding of core Next.js principles and the capability to apply React and Next.js syntax effectively in real-world scenarios. They've further shown adeptness in handling data retrieval from both client and server contexts and in optimizing various web assets to deliver a seamless and efficient user experience.

• SQL - Data Fundamentals

  This Interactive Skill Benchmark covers key SQL skills, including CRUD operations, data querying and calculations, and using functions and joins in a relational database. Scoring high on the SQL Proficiency Benchmark indicates a solid grasp of these database concepts and the practical application of SQL syntax.

• Supervised Learning I: Regressors, Classifiers and Trees

  This Interactive Skill Benchmark covers essential skills including implementing supervised learning algorithms such as linear regression, logistic regression, k-nearest neighbors and decision trees, and applying metrics such as accuracy, precision, recall and f1-score to evaluate their performance on classification tasks. A learner who scores high on the Python Supervised Learning 1: Regressors, Classifiers, and Trees Interactive Skill Benchmark has demonstrated their fundamental understanding of supervised learning algorithms and their ability to implement and evaluate them using "scikit-learn".

• Git and Github Fundamentals

  This Interactive Skill Benchmark covers Git and GitHub, including setting up a repo, checking repo status, creating and managing branches and pull requests, and switching between project versions. A learner who scores high on the Git and GitHub Interactive Skill Benchmark has demonstrated their fundamental understanding of Git and their ability to use version control systems to manage their code.

• JavaScript Linear Data Structures

  This Interactive Skill Benchmark covers essential data structures and their implementation in JavaScript, including topics such as: constructing a node data structure that can store a value, set the next node, and get the next node; creating and manipulating nodes in a singly linked list; creating and manipulating nodes in a doubly linked list; implementing a queue data structure using nodes; and implementing a stack data structure using nodes in JavaScript. A learner who scores high on the JavaScript Data Structures Interactive Skill Benchmark has demonstrated their fundamental understanding of these core data structure concepts and their ability to implement them using JavaScript syntax.

• PHP Fundamentals Part 1

  This Interactive Skill Benchmark covers essential PHP programming skills, including topics such as creating and running a PHP program containing comments, manipulating strings using appropriate operators and printing to the console, creating and manipulating string and number data type variables using appropriate operators, defining and calling functions with parameters and return values while utilizing appropriate scopes for variables within a function, and utilizing built-in PHP functions for common tasks such as manipulating variables, strings, and numbers. Additionally, it includes constructing, accessing, modifying, and managing both ordered and associative arrays in PHP and handling arrays in function parameters by value or reference. A learner who scores high on the PHP Fundamentals, Part 1 Interactive Skill Benchmark has demonstrated their fundamental understanding of core PHP programming concepts and their ability to implement them using PHP syntax.

• Intermediate Go

  This Interactive Skill Benchmark covers essential Go data types and packages, including interfaces, error handling, file handling, and web programming using the HTTP package. A learner who scores high on the Intermediate Go Interactive Skill Benchmark has demonstrated their fundamental understanding of these core data types and packages as well as their ability to implement them using Go syntax.

• Advanced Java

  This Interactive Skill Benchmark covers critical aspects of Advanced Java programming including: using the Executor framework to implement thread pooling, implementing parallelism through use of Fork-Join and Parallel Streams, and using Java Native Interface to combine C++ with Java to call methods and functions from one language to another. It also tests proficiency in creating a Statement object through Java Database Connectivity to manage SQL injections to the database, and creating a ResultSet from a SQL query and manipulating the data. A learner who scores high on the Advanced Java Programming Interactive Skill Benchmark has demonstrated their fundamental understanding of these advanced-level Java programming concepts and their ability to implement them using Java syntax.

• Java Linear Data Structures

  This Interactive Skill Benchmark covers key aspects of Java Linear Data Structures, including: constructing a Node data structure that can store a value, set the next node, and get the next node, creating a singly linked list and a doubly linked list that can store and manipulate nodes, and implementing a queue and a stack data structure using nodes. A learner who scores high on the Java Linear Data Structures Interactive Skill Benchmark has demonstrated their fundamental understanding of these core data structure concepts and their ability to implement them using Java syntax.

• Python - Programming Fundamentals

  This Interactive Skill Benchmark covers essential skills including the creating and manipulating of variables, control flow, troubleshooting errors, manipulating lists, using loops effectively, working with functions, strings, and dictionaries, importing modules, and creating robust classes. A learner who scores high on the Python Fundamentals Interactive Skill Benchmark has demonstrated their fundamental understanding of core programming concepts and their ability to implement them using Python syntax.

• Command Line and Bash Scripting

  This Interactive Skill Benchmark covers Command Line and Bash Scripting, including navigating the command line, manipulating files and folders, editing and searching for files, creating custom commands, and running scripts using bash commands. A learner who scores high on the Command Line and Bash Scripting Interactive Skill Benchmark has demonstrated a fundamental understanding of bash scripting and the ability to navigate computers using the command line.

• Intermediate JavaScript

  This Interactive Skill Benchmark covers intermediate JavaScript topics using the latest syntax, including creating classes and modules to define reusable logic, identifying and handling errors, writing asynchronous code with "Promise" and "async"/"await", and making requests using the Fetch API. A learner who scores high on the Intermediate JavaScript Interactive Skill Benchmark has demonstrated their understanding of intermediate programming concepts, such as object-oriented and asynchronous programming, and their ability to implement them using JavaScript syntax.

• JavaScript Algorithms

  This Interactive Skill Benchmark covers essential algorithms and their implement in JavaScript including topics such as: creating a binary search method, implementing recursive functions, bubble sort, merge sort, and quicksort functions in JavaScript, traversing a graph with both depth-first and breadth-first traversal, and implementing Dijkstra's algorithm. A learner who scores high on the JavaScript Algorithms Interactive Skill Benchmark has demonstrated their fundamental understanding of these core algorithmic concepts and their ability to implement them using JavaScript syntax.

• Supervised Learning II: Advanced Regressors and Classifiers

  This Interactive Skill Benchmark covers essential skills including understanding and implementing supervised learning methods such as the Naive Bayes algorithm, Support Vector Machines and Linear Discriminant Analysis. A learner who scores high on the Supervised Learning 2 Interactive Skill Benchmark has demonstrated their understanding of intermediate-level supervised learning algorithms and their ability to implement and evaluate them using "scikit-learn".

• JavaScript - Programming Fundamentals

  This Interactive Skill Benchmark covers essential skills including using built-in libraries, manipulating data with variables and operators, implementing control flow, creating and calling functions, understanding scope, working with arrays and loops, using functions as data types, and handling object-oriented concepts. A learner who scores high on the JavaScript Fundamentals Interactive Skill Benchmark has demonstrated their fundamental understanding of core programming concepts and their ability to implement them using JavaScript syntax.

• Advanced Python

  This Interactive Skill Benchmark covers essential skills, including topics such as: using the logging module, functional programming principles, interacting and manipulating the ".sqlite" file, and using threads and processes in Python. A learner who scores high on the Advanced Python Interactive Skill Benchmark has demonstrated an advanced understanding of programming concepts and an ability to implement them using Python syntax.

• C Programming Fundamentals Part 2

  This Interactive Skill Benchmark covers essential skills in C programming, including implementing various types of loops, manipulating one and two-dimensional arrays, managing string arrays, handling memory with pointers, writing functions with proper prototypes and parameters, and creating and accessing structures with pointers. A learner who scores high on the C Programming Fundamentals Part 2 Interactive Skill Benchmark has demonstrated their advanced understanding of core programming concepts and their ability to implement them using C syntax.

Software Development

• CSSLP: Secure Software Supply Chain Competency (Intermediate Level)

  15m | 15 questions

  The Secure Software Supply Chain Competency benchmark measures your knowledge of pedigree and provenance verification and acquisition process support delivery. You will be evaluated on your skills in applying compliance auditing, vulnerability response and reporting, supplier sourcing challenges, best practices for various controls, SLAs, support structures, and product deployment and configuration management. A learner who scores high on this benchmark demonstrates that they have the skills necessary to incorporate best practices for supply chain and software acquisitions.

• CSSLP: Secure Software Concepts Competency (Intermediate Level)

  16m | 16 questions

  The Secure Software Concepts Competency benchmark will evaluate your knowledge of the secure software concepts of confidentiality, integrity, and availability (CIA), in addition to concepts that support CIA, such as authentication, authorization, accountability, and non-repudiation. You will be evaluated on your skills in ensuring key design principles are incorporated into the software development lifecycle, such as least privilege, separation of duties, defense in depth, fail-safe, complete mediation, least common, psychological acceptability, and single points of failure, as well as key security practices. A learner who scores high on this benchmark demonstrates that they have the skills to describe secure software core concepts and incorporate security practices into the software development lifecycle.

• CSSLP: Secure Software Testing Competency (Intermediate Level)

  25m | 25 questions

  The Secure Software Testing Competency benchmark assesses your knowledge of essential testing types, as well as how to apply best practices for security testing and quality assurance, bug tracking, and the ISO 9126, SSE-CMM, OSSTMM, and DIACAP standards. You will be evaluated on your skills in performing secure software testing by tracking security errors, securing test data, and verifying and validating testing results. A learner who scores high on this benchmark demonstrates that they have the skills necessary to recognize and apply testing concepts and use secure software testing best practices.

• CSSLP: Secure Software Implementation Competency (Intermediate Level)

  23m | 23 questions

  The Secure Software Implementation Competency benchmark measures your knowledge of the differences between declarative and programmatic security, in addition to defensive coding practices and applying secure coding controls such as configuration, error handling, and session management. You will be evaluated on your skills in using essential secure coding techniques such as versioning, peer-based code reviews, code analysis, and anti-tampering techniques, as well as analyzing code for security vulnerabilities, identifying malicious code, and securely reusing third-party code and integrating components. A learner who scores high on this benchmark demonstrates that they have the skills necessary to recognize and apply secure coding practices and assess security vulnerabilities.

• CSSLP: Secure Software Lifecycle Management Competency (Intermediate Level)

  24m | 24 questions

  The Secure Software Lifecycle Management Competency benchmark measures your knowledge of secure lifecycle management, including version control, security standards, frameworks, and security metrics, in addition to governance, risk, and compliance (GRC). You will be evaluated on your skills in deploying and maintaining software and operations. A learner who scores high on this benchmark demonstrates that they have the skills necessary to use the secure lifecycle management model and perform software pre- and post-release activities.

• CSSLP: Secure Software Requirements Competency (Intermediate Level)

  18m | 18 questions

  The Secure Software Requirements Competency benchmark measures your ability to define software security requirements and identify and analyze compliance requirements, data classification requirements, and privacy requirements. You will be evaluated on your skills in developing misuse and abuse cases, using the Security Requirements Traceability Matrix (STRM), and ensuring security requirements flow down to the suppliers/providers. A learner who scores high on this benchmark demonstrates that they have the skills to recognize secure software requirements such as abuse cases, software specifications, and traceability matrixes.

• CSSLP: Secure Software Architecture and Design Competency (Intermediate Level)

  25m | 25 questions

  The Secure Software Architecture and Design Competency benchmark measures your knowledge of common threats such as APT, insider threats, common malware, and third party/supplier risks, as well as performing attack surface evaluation. You will be evaluated on your skills in recognizing security architecture considerations such as identification and prioritization, distributed/pervasive computing, and applying best practices for securing commonly used architecture and technologies like virtualization, databases, and the programming language environment. A learner who scores high on this benchmark demonstrates that they have the skills to develop a threat model, define security architectures, perform an architectural risk assessment, and secure commonly used architectures and technologies.

AI Business Transformation

• Foundations and Guardrails for Generative AI

  5m | 5 questions

  Generative AI is a cutting-edge technology that can be used to optimize content creation, product design, and customer experience enhancement for everyday businesses. Explore strategies that help leverage the power of generative AI to reshape your organization. This benchmark evaluates your understanding of this topic. Being aware of potential knowledge gaps allows you to better understand your current competency and areas for improvement, so you can find suitable content and curate your own learning path. The courses recommended at the end of this benchmark can help you fill potential gaps in your knowledge.

• Reimagining Work with Generative AI

  6m | 6 questions

  Generative AI's capabilities are transforming the way companies and customers interact and do business. Explore the challenges and opportunities that this new technology may bring. This benchmark evaluates your understanding of this topic. Being aware of potential knowledge gaps allows you to better understand your current competency and areas for improvement, so you can find suitable content and curate your own learning path. The courses recommended at the end of this benchmark can help you fill potential gaps in your knowledge.

Developing

• AWS Certified DevOps Engineer 2021: AWS Configuration Management and Infrastructure as Code Competency (Intermediate Level)

  29m | 29 questions

  The AWS Configuration Management and Infrastructure as Code Competency benchmark evaluates your knowledge of how AWS CloudFormation can be used to automatically provision and manage infrastructure, as well as how and why AWS Elastic Beanstalk is used. You will be evaluated on your implementation skills for AWS Lambda and API Gateway deployments, knowledge of differentiation between Amazon Elastic Container Service (ECS) and Elastic Container Registry (ECR), and your ECS and ECR container application skills. A learner who scores high on this benchmark demonstrates that they have the skills necessary to outline the importance of configuration management in an AWS environment and can use AWS tools for configuration management.

• AWS Certified DevOps Engineer 2021: AWS Monitoring and Logging Competency (Intermediate Level)

  21m | 21 questions

  The AWS Monitoring and Logging Competency benchmark assesses your understanding of communicating the required policy based on the least privileges required by the application, as well as your ability to encrypt data at rest and in transit. You will be evaluated on your implementation skills for application authentication and authorization using Amazon Cognito. A learner who scores high on this benchmark demonstrates that they have the skills necessary to implement encryption using AWS services and make authenticated calls to AWS services.

• AWS Certified DevOps Engineer 2021: AWS SDLC Automation Competency (Intermediate Level)

  25m | 25 questions

  The AWS SDLC Automation Competency benchmark assesses your understanding of concepts, such as using the AWS CodeCommit service to apply source code control in the software development life cycle (SDLC). You will be evaluated on your skills for using AWS CodeDeploy to demonstrate concepts related to the deployment stage of the SDLC. A learner who scores high on this benchmark demonstrates that they have the skills necessary to apply concepts related to the SDLC CI/CD pipeline using AWS CodePipeline and related tools and services.

• AWS Certified DevOps Engineer 2021: AWS Policies and Standards Automation Competency (Intermediate Level)

  15m | 15 questions

  The AWS Policies and Standards Automation Competency benchmark measures your skills for setting up automatic monitoring and response to health and performance incidents. You will be evaluated on your skills to set up automatic cost management, budgeting, and optimization of resource costs. A learner who scores high on this benchmark demonstrates that they have the skills necessary to apply governance standards and monitor compliance with the governance strategy.

• AWS Certified DevOps Engineer 2021: AWS Incident and Event Response Competency (Intermediate Level)

  21m | 21 questions

  The AWS Incident and Event Response Competency benchmark measures your knowledge of the concepts and steps required to restore operations, troubleshoot issues, automate event management, and alerting. You will be evaluated on your skills with the concepts and steps required to implement and utilize automated healing. A learner who scores high on this benchmark demonstrates that they have the skills to implement event-driven automated actions.

Cloud Basics

• Cloud Architect Competency (Intermediate Level)

  24m | 24 questions

  The Cloud Architect Competency benchmark measures whether a learner has been exposed to typical cloud technologies, practices, and principles. A learner who scores high on this benchmark demonstrates an entry to intermediate level of skill on modern cloud services, tools, jargon, and processes.

• Cloud for Engineering Leaders Proficiency (Advanced Level)

  14m | 14 questions

  The Cloud for Engineering Leaders Proficiency (Advanced Level) benchmark measures your ability to outline and use cloud infrastructure and services. You will be evaluated on your recognition of how to meet cloud compliance requirements, monitor resource usage, and optimize costs. A learner who scores high on this benchmark demonstrates that they have good experience with cloud computing frameworks and can lead cloud teams.

• Cloud for Engineering Leaders Competency (Intermediate Level)

  13m | 13 questions

  The Cloud for Engineering Leaders Competency (Intermediate Level) benchmark measures your ability to identify the value and best practices of cloud computing and services. You will be evaluated on your ability to outline and use cloud infrastructure and services. A learner who scores high on this benchmark demonstrates that they have good experience with cloud computing frameworks.

• Cloud Business Model, Adoption, and Business Transformation Competency (Intermediate Level)

  30m | 30 questions

  The Cloud Business Model, Adoption, and Business Transformation Competency (Intermediate Level) benchmark measures your comprehensive understanding of key cloud computing concepts. You will be evaluated on your knowledge of the cloud business model, cloud adoption, and cloud business transformation. A learner who scores high on this benchmark demonstrates that they have competency in many areas of this domain and have the knowledge and insights needed to make informed decisions about adopting cloud computing solutions and leveraging its advantages to drive business growth and innovation. This learner has also had some working exposure in exploring the cloud business models and understanding of how cloud computing can transform their organization's operations, scalability, and cost-efficiency.

• Security, Risk, and Compliance in the Cloud Competency (Intermediate Level)

  28m | 28 questions

  The Security, Risk, and Compliance in the Cloud Competency (Intermediate Level) benchmark measures your knowledge and skills in managing security, risk, and compliance in the cloud era. You will be evaluated on your knowledge of key topics such as security management, risk assessments, and compliance considerations in the context of cloud computing. A learner who scores high on this benchmark demonstrates that they have competency in many areas of operations related to navigating the complex landscape of cloud security, risk, and compliance. They have also had some working exposure to developing and implementing effective security strategies, conducting risk assessments, and ensuring compliance with relevant regulations in the cloud era.

• Defining Cloud Computing for Decision-makers Literacy (Beginner Level)

  13m | 13 questions

  The Defining Cloud Computing for Decision-makers Literacy (Beginner Level) benchmark measures your understanding of the cloud computing basics needed for decision-makers. You will be evaluated on your knowledge of the key concepts of the foundations of cloud computing principles. A learner who scores high on this benchmark demonstrates that they have literacy in many areas of this domain and have the knowledge and insights needed to understand the fundamentals of various cloud computing solutions.

• Cloud for Non-tech Learners

  10m | 10 questions

  The Cloud for Non-tech Learners benchmark measures your ability to recognize key terms and concepts related to cloud. You will be evaluated on your knowledge of platform as a service (PaaS), cloud computing types, the cloud value proposition, how cloud improved productivity, and how cloud impacts business. Learners who score high on this benchmark demonstrate that they have the skills related to cloud terminology and concepts.

• Cloud Architect Proficiency (Advanced Level)

  51m | 30 questions

  The extensive Cloud Architect Proficiency benchmark measures whether a learner has experience with advanced cloud technologies, practices, and principles. Although there are many important assessments here, a learner who scores high on this benchmark demonstrates an intermediate to advanced level of skill on modern cloud services, tools, jargon, and processes.

• Cloud Architect Literacy (Beginner Level)

  11m | 11 questions

  The Cloud Architect literacy benchmark measures whether a learner has had exposure to cloud technologies, practices, and principles and can participate at a literate level in meetings and discussions. A learner who scores high on this benchmark demonstrates an entry-level skill on modern cloud services, tools, jargon, and processes.

Cloud Development

• AZ-204: Consuming Azure and Third-party Services Competency (Intermediate Level)

  22m | 22 questions

  The AZ-204: Consuming Azure and Third-party Services Competency benchmark assesses your ability to configure authentication and define policies for APIs. You will be measured on your skills to implement solutions that use Azure Event Grid, Azure Event Hub, Azure Service Bus, and Azure Queue Storage queues. A learner who scores high on this benchmark demonstrates that they have the skills to implement API management, and develop event-based and message-based solutions.

• AWS Developer Associate 2021: AWS Development and Refactoring Competency (Intermediate Level)

  30m | 30 questions

  The AWS Development and Refactoring Competency benchmark measures your ability to write code that interacts with AWS services by using APIs, SDKs, and AWS CLI. You will be assessed on your understanding of translating functional requirements into application design and implementing the design into application code. A learner who scores high on this benchmark demonstrates that they have the skills to write resilient code for serverless applications and optimize applications to best use AWS services and features.

• AWS Developer Associate 2021: AWS Deployment Competency (Intermediate Level)

  30m | 30 questions

  The AWS Deployment Competency benchmark measures your ability to prepare application deployment packages to be deployed to AWS and AWS Elastic Beanstalk. You will be evaluated on your skills to deploy written code in AWS using existing CI/CD pipelines, processes, and patterns. A learner who scores high on this benchmark demonstrates that they have the skills to deploy serverless applications.

• AZ-204: Monitoring, Troubleshooting, and Optimizing Azure Solutions Competency 2023 (Intermediate Level)

  20m | 20 questions

  The Monitoring, Troubleshooting, and Optimizing Azure Solutions Competency (Intermediate Level) benchmark measures your recognition of caching in Azure using a variety of tools and techniques, including Azure Front Door, Azure Content Delivery Network (CDN), Azure CDN endpoint, and Azure Cache for Redis. You will be evaluated on your skills in executing Azure application troubleshooting by utilizing a variety of tools and techniques. A learner who scores high on this benchmark demonstrates that they have the skills to implement caching solutions and troubleshoot solutions by using metrics and log data.

• AWS Certified Developer - Associate 2022: Development with AWS Services Competency (Intermediate Level)

  33m | 33 questions

  The Development with AWS Services Competency (Intermediate Level) benchmark assesses your knowledge of how to install, manage, and use the AWS CLI and AWS SDKs to make API calls; use AWS CloudFormation, AWS Lambda, AWS storage services; and configure tools in AWS to build stateless applications. You will be evaluated on your skills in utilizing each type of database and analytics service offered by AWS and deploying applications using a microservice architecture. Learners who score high on this benchmark demonstrate that they have the skills to work with various AWS services for development.

• AWS Developer Associate 2021: AWS Monitoring and Troubleshooting Competency (Intermediate Level)

  25m | 25 questions

  The AWS Monitoring and Troubleshooting Competency benchmark measures your ability to create custom Amazon CloudWatch metrics, perform logging, and enable tracing. You will be assessed on your knowledge to identify errors in logs and utilize AWS services to locate a specific faulty component. A learner who scores high on this benchmark demonstrates that they have the skills to write code that can be monitored and perform root cause analysis on faults found in testing or production.

• AWS Certified Developer - Associate 2022: Deployment Competency (Intermediate Level)

  30m | 30 questions

  The Deployment Competency (Intermediate Level) benchmark calibrates your ability to use various AWS technologies to provision configuration as code (CaC) and orchestrate AWS code services to create CI/CD processes. You will be evaluated on your skills in recognizing the use of AWS Elastic Beanstalk, deploying applications and environments using Elastic Beanstalk, as well as efficiently using the Amazon EC2 service to configure, launch, secure, and interact with computing environments on AWS. Learners who score high on this benchmark demonstrate that they have the skills to automate deployment testing, prepare application artifacts to be deployed to AWS, and deploy code using AWS CI/CD services.

• AZ-204: Developing Azure Storage Solutions Competency (Intermediate Level)

  17m | 17 questions

  The AZ-204: Developing Azure Storage Solutions Competency benchmark measures your ability to implement partitioning schemes and partition keys, perform operations on data and Cosmos DB containers, and manage change feed notifications. You will be evaluated on your skills to move items in Blob Storage between storage accounts or containers, perform operations on data by using the appropriate SDK, implement storage policies, and use data archiving and retention. A learner who scores high on this benchmark demonstrates that they have the skills to develop solutions that use Cosmos DB storage and blob storage.

• AZ-204: Developing Azure Storage Solutions Competency 2023 (Intermediate Level)

  29m | 29 questions

  The Developing Azure Storage Solutions Competency (Intermediate Level) benchmark measures your ability to work with Azure Cosmos DB and Cosmos DB containers using a variety of tools and techniques, including SQL queries, the resource model, partitioning and horizontal scaling, and stored procedures. You will be evaluated on your skills in creating and managing storage accounts with Azure Blob Storage and Storage Explorer, uploading and managing blobs with .NET and the Azure Blob Storage client library for .NET, and using advanced features such as immutable storage and access tiers. A learner who scores high on this benchmark demonstrates that they have the skills to develop solutions that use Cosmos DB storage and Azure Blob Storage.

• AWS Certified Developer - Associate 2022: Security Competency (Intermediate Level)

  30m | 30 questions

  The Security Competency (Intermediate Level) benchmark calibrates your ability to recognize the features of IAM and other AWS authentication and authorization services, as well as protect and secure AWS cloud data and applications using various AWS services. You will be evaluated on your skills in securing a network in a cloud environment using network segmentation, network protocols, and network services, as well as using AWS CloudTrail, Amazon CloudWatch, and Elastic Load Balancing. Learners who score high on this benchmark demonstrate that they have the skills to describe and use AWS security controls to secure AWS services.

• AZ-204: Consuming Azure and Third-party Services Competency 2023 (Intermediate Level)

  30m | 30 questions

  The Consuming Azure and Third-party Services Competency (Intermediate Level) benchmark assesses your recognition of how to manage and secure APIs using the Azure API Management service, API gateways, Azure Functions integration, and Azure Active Directory. You will be evaluated on your skills in working with Azure Event Grid and building highly scalable and reliable messaging-based solutions using a variety of tools and techniques, including Azure Service Bus and Queue Storage, Azure Functions, Logic Apps, Power Automate, and Azure Stream Analytics. A learner who scores high on this benchmark demonstrates that they have the skills to implement the Azure API Management service and develop event-based and message-based solutions.

• AWS Certified Developer - Associate 2022: Troubleshooting and Optimization Competency (Intermediate Level)

  30m | 30 questions

  The Troubleshooting and Optimization Competency (Intermediate Level) benchmark measures your knowledge to describe and use AWS troubleshooting and monitoring and performance optimization tools and resources and various tools and services provided by AWS for optimizing performance and efficiency. You will be evaluated on your skills to describe various methods and tools provided to resolve cloud- or network-related connectivity, security, configuration, and performance issues and troubleshoot security issues in AWS. A learner who scores high on this benchmark demonstrates that she/he has the skills to observe, monitor and optimize applications by using AWS services and features

• AZ-204: Implementing Azure Security Competency 2023 (Intermediate Level)

  30m | 30 questions

  The Implementing Azure Security Competency (Intermediate Level) benchmark measures your ability to secure applications using the Microsoft identity platform and a variety of tools and techniques, including OAuth 2.0 and OpenID, Microsoft Authentication Library (MSAL), Microsoft Graph API, identity federation, automatic user provisioning, and Continuous Access Evaluation (CAE) APIs. You will be evaluated on your skills in working with Azure Active Directory using Azure AD Domain Services, single sign-on, multi-factor authentication, and Azure AD Identity Protection and using the Azure App Configuration service. A learner who scores high on this benchmark demonstrates that they have the skills to implement user authentication and authorization and secure cloud solutions.

• AZ-204: Monitoring, Troubleshooting, and Optimizing Azure Solutions Competency (Intermediate Level)

  26m | 26 questions

  The AZ-204: Monitoring, Troubleshooting, and Optimizing Azure Solutions Competency benchmark measures your ability to configure cache and expiration policies for Azure Cache for Redis and implement secure and optimized application cache patterns including data sizing, connections, encryption, and expiration. You will be evaluated on your skills to configure an app or service to use Application Insights, review and analyze metrics and log data, and implement Application Insights web tests and alerts. A learner who scores high on this benchmark demonstrates that they have the skills to implement caching solutions and troubleshoot solutions by using metrics and log data.

• AWS Developer Associate 2021: AWS Security Competency (Intermediate Level)

  26m | 26 questions

  The AWS Security Competency benchmark assesses your ability to communicate required security policies based on the least privileges required by the application and your knowledge of encrypting data at rest and in transit. You will be evaluated on your skills to implement application authentication and authorization using Amazon Cognito. A learner who scores high on this benchmark demonstrates that they have the skills to implement encryption using AWS services and make authenticated calls to AWS services.

• AZ-204: Developing Azure Compute Solutions Competency (Intermediate Level)

  21m | 21 questions

  The AZ-204: Developing Azure Compute Solutions Competency benchmark measures your ability to provision virtual machines (VMs); configure, validate, and deploy ARM templates; configure container images for solutions; and work with Azure Resource Manager (ARM) and the Azure Container Registry. You will be evaluated on your skills to create and deploy Azure Functions apps, and implement function triggers and custom handlers. A learner who scores high on this benchmark demonstrates that they have the skills to create Azure App Service web apps and implement Azure Functions.

• AZ-204: Developing Azure Compute Solutions Competency 2023 (Intermediate Level)

  30m | 30 questions

  The AZ-204: Developing Azure Compute Solutions Competency (Intermediate Level) benchmark measures your ability to work with Azure App Service and a variety of tools and techniques to deploy web apps. You will be evaluated on your skills in creating and deploying Azure Functions apps, deploying a web app using Azure Pipelines, connecting to Azure App Service using managed identity, implementing triggers, using binding extensions, and working with Azure Cosmos DB bindings. A learner who scores high on this benchmark demonstrates that they have the skills to create Azure App Service web apps and implement Azure Functions and triggers.

• AZ-204: Implementing Azure Security Competency (Intermediate Level)

  18m | 18 questions

  The AZ-204: Implementing Azure Security Competency benchmark measures your ability to authenticate and authorize users by using the Microsoft Identity platform and Azure Active Directory. You will be evaluated on your skills to develop code that uses keys, secrets, and certificates stored in the Azure Key Vault and secure app configuration data by using the App Configuration Azure Key Vault. You will also be assessed on your skills to implement managed identities for Azure resources and create and implement shared access signatures. A learner who scores high on this benchmark demonstrates that they have the skills to implement user authentication and authorization, and secure cloud solutions.

Cloud Platforms

• AWS SysOps Associate 2022: AWS Networking and Content Delivery Competency (Intermediate Level)

  28m | 28 questions

  The AWS Networking and Content Delivery Competency (Intermediate Level) benchmark measures your ability to use VPCs and subnets to address cloud networking needs using the AWS Console, CLI, and PowerShell. You will be evaluated on your skills in configuring VPC DHCP and DNS settings, subnetting IP addressing, creating and assigning Elastic IP addresses to provide public IP addressing, peering VPCs together, configuring a VPN, and troubleshooting VPC issues. Learners who score high on this benchmark demonstrate that they have the skills to implement networking and configure domains, DNS services, and content delivery, as well as troubleshoot network connectivity issues.

• AWS Cloud Practitioner 2022: Security and Compliance Literacy (Beginner Level)

  19m | 19 questions

  The Security and Compliance Literacy (Beginner Level) benchmark calibrates your ability to define a variety of core security support resources. You will be evaluated on your recognition of the tools used in AWS access management and the associated best practices. Learners who score high on this benchmark demonstrate that they have the skills to recognize and follow security and compliance and work with access management in AWS.

• Microsoft Azure Administrator: Deploy and Manage Azure Compute Resources Competency (Intermediate Level)

  30m | 30 questions

  The Deploy and Manage Azure Compute Resources Competency (Intermediate Level) benchmark measures your expertise in the deployment, configuration, and management of Azure virtual machines, Azure Kubernetes Service, Azure Functions, and other compute resources. You will be evaluated on your understanding of Azure compute resources and your ability to determine which resources are best suited for a given workload. A learner who scores high on this competency demonstrates their ability to design and implement scalable solutions that can handle high-traffic workloads, monitor and optimize resource usage to ensure optimal performance and cost efficiency, and implement security measures and disaster recovery plans to protect your resources and ensure business continuity.

• AZ-400: Configure Processes and Communications Competency (Intermediate Level)

  17m | 17 questions

  The Configure Processes and Communications Competency (Intermediate Level) benchmark assesses your ability to configure and manage the processes and communication channels required for effective DevOps practices, automate tasks, and ensure high-quality and reliable software delivery. You will be evaluated on your skills in creating, customizing, and optimizing processes, as well as using collaboration tools and communication channels to facilitate communication and collaboration between teams. Learners who score high on this benchmark demonstrate that they can effectively manage and automate the entire software development lifecycle while ensuring high quality and reliability. They are also able to implement best practices for continuous integration and continuous deployment (CI/CD), automate manual tasks, and improve efficiency and productivity.

• AWS Certified DevOps Engineer 2021: AWS Configuration Management and Infrastructure as Code Competency (Intermediate Level)

  29m | 29 questions

  The AWS Configuration Management and Infrastructure as Code Competency benchmark evaluates your knowledge of how AWS CloudFormation can be used to automatically provision and manage infrastructure, as well as how and why AWS Elastic Beanstalk is used. You will be evaluated on your implementation skills for AWS Lambda and API Gateway deployments, knowledge of differentiation between Amazon Elastic Container Service (ECS) and Elastic Container Registry (ECR), and your ECS and ECR container application skills. A learner who scores high on this benchmark demonstrates that they have the skills necessary to outline the importance of configuration management in an AWS environment and can use AWS tools for configuration management.

• Microsoft 365 Literacy (Beginner Level)

  20m | 20 questions

  The Microsoft 365 Literacy benchmark will measure your ability to recognize key terms and concepts related to Microsoft 365. You will be evaluated on Windows 10 and Microsoft 365 features, collaboration tools available in Microsoft 365, Microsoft Teams features, Microsoft 365 security, mobile device management, and Microsoft 365 pricing. A learner who scores high on this benchmark demonstrates that they have the skills related to understanding key Microsoft 365 terminology and concepts.

• Azure AI Fundamentals: Computer Vision on Microsoft Azure Competency (Intermediate Level)

  18m | 18 questions

  The Computer Vision on Microsoft Azure Competency benchmark measures your ability to recall and identify the common types of computer vision solutions, and Azure tools and services for computer vision tasks. A learner who scores high on this benchmark demonstrates that they have the necessary knowledge and skills to build computer vision solutions on the Azure platform.

• AWS Certified Solutions Architect Professional 2020: Continuous Improvement and Migration Planning Proficiency (Advanced Level)

  30m | 30 questions

  The AWS Continuous Improvement and Migration Planning Proficiency benchmark assesses your ability to troubleshoot solution architectures and determine the strategies to improve the performance, reliability, and development of an existing solution. You will be evaluated on your skills to select migration tools and/or services for new and migrated solutions and determine a strategy for migrating existing on-premises workloads to the cloud. A learner who scores high on this benchmark demonstrates that they have the skills to determine a new cloud architecture and a strategy to improve an existing solution for operational excellence.

• AWS SysOps Associate 2021: AWS Cost and Performance Optimization Competency (Intermediate Level)

  10m | 10 questions

  The AWS Cost and Performance Optimization Competency benchmark measures your ability to implement cost allocation tags, identify opportunities to use managed services, and remediate underutilized or unused resources using AWS services, tools, budgets, and billing alarms. You will be assessed on your skills in recommending compute resources based on performance metrics, implement S3 performance features, and enable enhanced EC2 capabilities. A learner who scores high on this benchmark demonstrates that they have the skills to implement cost optimization and performance optimization strategies.

• AZ-900: Azure Networking and App Services Literacy (Beginner Level)

  28m | 28 questions

  The AZ-900: Azure Networking and App Services Literacy (Beginner Level) benchmark measures your comprehensive understanding of the foundational networking components of Azure. You will be evaluated on your ability to configure key Azure network infrastructure components such as virtual networks (VNets) and subnets. A learner who scores high on this benchmark demonstrates that they have competency in many areas of this domain, including the knowledge and insights needed to make informed decisions about establishing secure connections through Azure VNet peering and VPNs and deploying and managing Azure App Services for web and mobile applications.

• AZ-400: Implement an Instrumentation Strategy Competency (Intermediate Level)

  24m | 24 questions

  The Implement an Instrumentation Strategy Competency (Intermediate Level) benchmark assesses your ability to implement effective instrumentation strategies for software development. You will be evaluated on your ability to collect and analyze data from different sources, monitor performance and usage, and optimize system behavior and user experience. You will also be evaluated on your skills in implementing instrumentation strategies that include monitoring and logging tools, telemetry data collection, and analysis techniques. Learners who score high on this benchmark demonstrate that they have the ability to implement effective instrumentation strategies. This competency is essential for software development teams to monitor and optimize system performance, improve user experience, and ensure continuous improvement.

• AWS SysOps Associate 2022: AWS Monitoring, Logging, and Remediation Competency (Intermediate Level)

  18m | 18 questions

  The AWS Monitoring, Logging, and Remediation Competency (Intermediate Level) benchmark assesses your knowledge of how CloudWatch can be used to track AWS and on-premises service performance and provide alert notifications based on configured metric thresholds. You will be evaluated on your ability to use EventBridge rules and trigger actions for notifications, work with CloudWatch dashboards and notifications between AWS accounts, and monitor VPC network traffic. Learners who score high on this benchmark demonstrate that they have the skills to remediate issues based on monitoring and availability metrics.

• AWS Associate Solutions Architect 2022: Design High-performing Architectures Competency (Intermediate Level)

  20m | 20 questions

  The AWS Design High-performing Architectures Competency benchmark measures your ability to identify elastic and scalable compute solutions for a workload. You will be assessed on your skills to select high-performing networking, storage, and database solutions for a workload. A learner who scores high on this benchmark demonstrates that they have the skills to choose appropriate high-performing solutions.

• AZ-400: Develop a Security and Compliance Plan Competency (Intermediate Level)

  13m | 13 questions

  The Develop a Security and Compliance Plan Competency (Intermediate Level) benchmark measures your ability to develop and implement effective security and compliance plans for software development. You will be evaluated on your ability to identify and mitigate security risks, comply with regulations and standards, and establish an organizational culture of security. You will also be evaluated on your skills in developing and implementing security and compliance plans, using tools to monitor and manage security risks and compliance requirements, and implementing best practices for secure software development. Learners who score high on this benchmark demonstrate that they have the ability to develop and implement effective security and compliance plans. This competency is essential for software development teams to protect sensitive data, ensure compliance with regulations and standards, and maintain the trust of customers and stakeholders.

• Azure Core Services Literacy (Beginner Level)

  25m | 25 questions

  The Azure Core Services Literacy benchmark will measure your ability to recognize key terms and concepts related to key Azure core services. You will be evaluated on Azure networking, Azure storage, Azure data, and Azure security services. A learner who scores high on this benchmark demonstrates that they have the skills related to understanding key Azure core services terminology and concepts.

• Azure Identity, Governance, Privacy, and Compliance Literacy (Beginner Level)

  25m | 25 questions

  The Azure Identity, Governance, Privacy, and Compliance Literacy benchmark will measure your ability to recognize key terms and concepts related to Azure identity, governance, privacy, and compliance concepts. You will be evaluated on Azure policies, PII and data privacy, the Azure Advisor, the key vault, and Azure tenants. A learner who scores high on this benchmark demonstrates that they have an understanding of key Azure concepts and terminology related to Azure identity, governance, privacy, and compliance

• GCP Architect: Ensuring Solution and Operations Reliability Competency (Intermediate Level)

  11m | 11 questions

  The Ensuring Solution and Operations Reliability Competency (Intermediate Level) benchmark measures your knowledge and skills in ensuring the reliability of a cloud solution and its operations. A learner who scores high on this benchmark demonstrates competency in designing for service level agreements (SLAs), disaster recovery and business continuity, monitoring and alerting, and incident management and response.

• AZ-900: Azure Management and Governance Literacy (Beginner Level)

  30m | 30 questions

  The AZ-900: Azure Management and Governance Literacy (Beginner Level) benchmark measures your understanding of the management and governance aspects of Azure services and Azure cloud computing basics. You will be evaluated on your ability to use Azure management tools to efficiently manage resources and organize and manage the Microsoft Azure hierarchy. A learner who scores high on this benchmark demonstrates that they have literacy in many areas of this domain, including the knowledge and insights needed to implement Azure RBAC and Azure Policy for access control and governance and optimizing costs through effective cost management techniques.

• AWS Cloud Practitioner: Economics, Security, and Compliance Literacy (Beginner Level)

  20m | 20 questions

  The AWS Cloud Economics, Security, and Compliance Literacy benchmark measures your ability to recognize the AWS shared responsibility model. You will be assessed on your knowledge in AWS Cloud costs and economics, compliance solutions, identity management, and key security features. A learner who scores high on this benchmark demonstrates that they have the skills to understand AWS compliance, and apply security best practices and billing practices.

• MD-100: Windows Client Competency (Intermediate Level)

  24m | 24 questions

  The MD-100: Windows Client Competency (Intermediate Level) benchmark measures your working understanding of Windows administration concepts and tools. A learner who scores high on this benchmark can work on Windows clients with some supervision and direction from a superior. They have a competent understanding of Windows 10 administration concepts and can participate in and lead informed conversations on the subject.

• Azure Security Literacy (Beginner Level)

  25m | 22 questions

  The Azure Security Literacy benchmark will measure your ability to recognize key terms and concepts related to Azure security services. You will be evaluated on security features offered by Azure, protecting your network with firewall rules, the Azure key vault, storage security, and IAM. A learner who scores high on this benchmark demonstrates that they have an understanding of common Azure security terminology and concepts.

• AZ-305: Design Data Storage Solutions Proficiency (Advanced Level)

  25m | 25 questions

  The AZ-305: Design Data Storage Solutions Proficiency benchmark measures your ability to recommend database service tier sizing, recommend a solution for database scalability, and encrypt data. You will be assessed on your ability to design solutions for data integration and data analysis, and recommend a solution for storing relational, semi-structured, and non-relational data. You will also be evaluated on your ability to design a data solution for protection and durability, and recommend access control solutions to data storage. A learner who scores high on this benchmark demonstrates that they have the skills to design and recommend a data storage solution for relational and non-relational data.

• Serverless Competency (Intermediate Level)

  26m | 26 questions

  The Serverless Competency benchmark measures whether a learner has working experience with Serverless practices, tools, and processes. A learner who scores high on this benchmark demonstrates professional mastery in all of the major areas of the Serverless discipline across a variety of different platforms and deployments. This learner can work and act independently of others but requires supervision and oversight.

• AZ-900: Azure Identity and Security Literacy (Beginner Level)

  30m | 30 questions

  The AZ-900: Azure Identity and Security Literacy (Beginner Level) benchmark measures your knowledge and skills in managing Azure Active Directory (AD). You will be evaluated on your ability to execute user and group management, implement various authentication methods, and enable multi-factor authentication (MFA). A learner who scores high on this benchmark demonstrates that they have literacy in securing Azure networks through network security best practices and configuring Azure network security groups (NSGs) to enforce network-level security policies.

• AZ-400: Design and Implement Build and Release Pipelines Competency (Intermediate Level)

  32m | 32 questions

  The Design and Implement Build and Release Pipelines Competency (Intermediate Level) benchmark measures your ability to design and implement effective build and release pipelines for software development. You will be evaluated on your ability to create automated build and release processes that integrate with source control systems, perform tests, and deploy code to different environments. You will also be evaluated on your skills in using tools to create and manage pipelines, configure triggers, and automate tasks, as well as implementing best practices for continuous integration and continuous deployment (CI/CD). Learners who score high on this benchmark demonstrate that they have the ability to create and manage efficient and reliable build and release pipelines. This competency is essential for software development teams to deliver high-quality code quickly and securely, reduce deployment errors, and ensure continuous improvement.

• Azure AI Fundamentals: Artificial Intelligence on Microsoft Azure Competency (Intermediate Level)

  15m 59s | 16 questions

  The Artificial Intelligence on Microsoft Azure Competency benchmark measures your ability to recall and identify the features of common AI workloads and principles for responsible AI implementation. A learner who scores high on this benchmark demonstrates that they have the necessary knowledge of AI workloads on the Azure platform.

• VMware VCP-DCV vSphere 7: Virtual Machine Resource Management and Availability Competency (Intermediate Level)

  13m | 13 questions

  The VMware VCP-DCV vSphere 7: Virtual Machine Resource Management and Availability Competency (Intermediate Level) benchmark measures your knowledge of how to create, configure, and manage virtual machines, as well as manage vSphere availability and provide resource management solutions. Learners who score high on this benchmark demonstrate that they have competency in many areas of the VMware administration discipline and have some working exposure to managing virtual machine resources with vSphere availability and management principles and practices.

• Serverless Literacy (Beginner Level)

  20m | 20 questions

  The Serverless Literacy benchmark measures whether a learner has had some exposure to Serverless practice and processes. A learner who scores high on this benchmark demonstrates literacy in all areas of the Serverless discipline, can participate in Serverless discussions, and recognize the advice of more advanced Serverless practitioners.

• AWS SysOps Associate 2021: AWS Monitoring, Logging, and Remediation Competency (Intermediate Level)

  10m | 10 questions

  The AWS Monitoring, Logging, and Remediation Competency benchmark assesses your ability to implement metrics, alarms, and filters by using AWS monitoring and logging services. You will be evaluated on your skills in taking corrective action based on notifications and alarms, configuring Amazon EventBridge rules to trigger actions, and using AWS Systems Manager Automation documents to take action based on AWS Config rules. A learner who scores high on this benchmark demonstrates that they have the skills to remediate issues based on monitoring and availability metrics

• Microsoft Azure Data Fundamentals: Azure Relational Data Workloads Competency (Intermediate Level)

  20m | 20 questions

  The Microsoft Azure Data Fundamentals: Azure Relational Data Workloads Competency (Intermediate Level) benchmark measures your ability to identify, recognize, and apply the concepts of relational data workloads in Azure. You will be evaluated on your ability to recognize concepts such as relational data stores and delivery models, SQL relational databases, SaaS in Azure, OLAP and OLTP, Azure SQL security features, and more. A learner who scores high on this benchmark demonstrates that they have the necessary Azure relational data skills to perform relational data workloads on the Azure platform with minimal supervision.

• Microsoft Azure Data Fundamentals: Azure Non-relational Data Workloads Competency (Intermediate Level)

  15m | 15 questions

  The Microsoft Azure Data Fundamentals: Azure Non-relational Data Workloads Competency (Intermediate Level) benchmark measures your ability to identify, recognize, and apply concepts of Azure non-relational data workloads. You will be evaluated on your ability to recognize concepts such as non-relational data stores, processing CSV and JSON files, time series solutions, provisioning and configuring non-relational data services, Azure Blob Storage, and more. A learner who scores high on this benchmark demonstrates that they have the necessary Azure non-relational data skills to perform non-relational data workloads on the Azure platform with minimal supervision.

• Microsoft Azure Data Fundamentals: Azure Relational Data Workloads Proficiency (Advanced Level)

  16m | 16 questions

  The Microsoft Azure Data Fundamentals: Azure Relational Data Workloads Proficiency (Advanced Level) benchmark measures your ability to identify, recognize, and apply concepts of provisioning and configuring relational data services on Azure, as well as Azure SQL querying techniques. You will be evaluated on your ability to recognize concepts such as Azure Database for PostgreSQL, MySQL, and MariaDB. A learner who scores high on this benchmark demonstrates that they have the necessary Azure relational data skills to perform relational data workloads on the Azure platform independently.

• AZ-305: Design Identity, Governance, Monitoring, and Business Continuity Solutions Proficiency (Advanced Level)

  27m | 27 questions

  The AZ-305: Design Identity, Governance, Monitoring, and Business Continuity Solutions Proficiency benchmark measures your ability to design a solution for logging, monitoring, and governance. You will be assessed on your skills to design authentication and authorization solutions, and design identities and access for applications. You will also be evaluated on your expertise to design a solution for backup and disaster recovery and high availability. A learner who scores high on this benchmark demonstrates that they have the skills to translate business requirements into designs for secure, scalable, and reliable Azure solutions.

• AWS Associate Solutions Architect 2020: Design Cost-optimized Architectures Competency (Intermediate Level)

  15m | 15 questions

  The AWS Design Cost-optimized Architectures Competency benchmark measures your ability to select appropriate scaling strategies from a cost perspective, identify when content delivery can be used to reduce costs, and recognize the strategies to reduce data transfer costs within AWS. You will be evaluated on your skills to determine the most cost-effective database options based on requirements. A learner who scores high on this benchmark demonstrates that they have the skills to identify cost-effective solutions for storage, compute, database, and network services.

• Microsoft 365 Awareness (Entry Level)

  20m | 20 questions

  The Microsoft 365 Awareness benchmark will measure your ability to recognize key terms and concepts related to Microsoft 365. You will be evaluated on cloud concepts, Microsoft 365 features, Microsoft Teams, collaboration, Microsoft 365 security, and managing mobile devices. A learner who scores high on this benchmark demonstrates that they have the skills related to understanding key Microsoft 365 terminology and concepts.

• GCP Architect: Analyzing and Optimizing Technical and Business Processes Competency (Intermediate Level)

  16m | 16 questions

  The Analyzing and Optimizing Technical and Business Processes Competency (Intermediate Level) benchmark measures your knowledge and skills in analyzing and optimizing technical and business processes to improve the efficiency and effectiveness of a cloud solution. A learner who scores high on this benchmark demonstrates competency in analyzing technical and business processes, designing monitoring and logging solutions, and designing for scalability and elasticity, high availability and reliability, and cost optimization.

• Cloud Awareness (Entry Level)

  30m | 20 questions

  The Cloud Awareness benchmark will measure your ability to recognize key terms and concepts related to key cloud technologies. You will be evaluated on the premise of cloud computing, cloud types, virtualization concepts, and cloud service types. A learner who scores high on this benchmark demonstrates that they have an awareness of different cloud computing concepts.

• AZ-305: Design Infrastructure Solutions Competency (Intermediate Level)

  26m | 26 questions

  The AZ-305: Design Infrastructure Solutions Competency benchmark measures your ability to design a load balancing and routing solution. You will be evaluated on your skills to recommend a network architecture solution based on workload requirements and a connectivity solution that connects Azure resources to the internet and on-prem networks. A learner who scores high on this benchmark demonstrates that they have the skills to design network solutions and optimize network performance for applications.

• DP-100: Explore Data and Train Models in Azure Competency (Intermediate Level)

  24m | 24 questions

  The Explore Data and Train Models in Azure Competency (Intermediate Level) benchmark measures your ability to explore data by using data assets and stores and create and train models. You will be evaluated on your skills in using automated machine learning (ML) with Azure Machine Learning. A learner who scores high on this benchmark demonstrates that they have good experience in exploring and preparing datasets for machine learning and automating machine learning in Azure for ML solution development.

• DP-100: Design and Prepare Azure Machine Learning Solutions Competency (Intermediate Level)

  37m | 37 questions

  The Design and Prepare Azure Machine Learning Solutions Competency (Intermediate Level) benchmark measures your ability to design a machine learning (ML) solution and manage an Azure Machine Learning workspace and its data. You will be evaluated on your skills in managing and registering data stores, recognizing various Azure Data Platform services, and creating and managing compute resources. A learner who scores high on this benchmark demonstrates that they have good experience in managing Azure Machine Learning workspaces and data.

• CloudOps Mastery (Expert Level)

  31m | 31 questions

  The CloudOps Mastery benchmark measures whether a learner has extensive expertise in cloud operations technologies, practices, and principles. A learner who scores high on this benchmark demonstrates professional mastery in all of the major areas of cloud operations, across a variety of different cloud platforms and deployments.

• AZ-900: Azure Resilience and Monitoring Literacy (Beginner Level)

  17m | 17 questions

  The AZ-900: Azure Resilience and Monitoring Literacy (Beginner Level) benchmark measures your knowledge and skills in ensuring high availability and effective monitoring of Azure services. You will be evaluated on your ability to implement strategies for Azure service resilience to ensure fault tolerance and availability. A learner who scores high on this benchmark demonstrates that they have literacy in the knowledge and understanding of monitoring Azure services using Azure Monitor and Azure Log Analytics to collect and analyze telemetry data, set up alerts, and monitor the performance and health of Azure resources.

• Microsoft Azure Administrator: Monitor and Maintain Azure Resources Competency (Intermediate Level)

  13m | 13 questions

  The Monitor and Maintain Azure Resources Competency (Intermediate Level) benchmark assesses your ability to monitor and manage the performance, availability, and cost of Azure resources. You will be evaluated on your skills in using Azure Monitor to monitor resource performance, creating and managing alerts, implementing automation and management solutions, and optimizing costs. A learner who scores high on this competency demonstrates their ability to monitor and manage Azure resources effectively, ensure high performance and availability, optimize costs, and maintain a secure and compliant environment. They also can identify and eliminate waste, optimize resource utilization, and implement cost management solutions.

• AWS Certified Solutions Architect - Professional 2022: Continuous Improvement for Existing Solutions Competency (Intermediate Level)

  20m | 20 questions

  The Continuous Improvement for Existing Solutions Competency (Intermediate Level) benchmark measures your ability to manage virtual machine (VM) hibernation mode, modify instance types to support workloads, configure EC2 Auto Scaling, and enable business continuity using various AWS disaster recovery and high availability solutions. You will be evaluated on your skills in improving AWS service performance, security, and efficiency through continuous monitoring, as well as determining the best migration approach for getting services and data into the AWS Cloud. Learners who score high on this benchmark demonstrate that they have the skills to determine a strategy to improve overall operational excellence, security, reliability, and performance.

• Azure Cloud Literacy (Beginner Level)

  25m | 25 questions

  The Azure Cloud Literacy benchmark will measure your ability to recognize terms and concepts related to key Azure Cloud features. You will be evaluated on Azure services, Azure subscriptions, and Azure security. A learner who scores high on this benchmark demonstrates that they have an understanding of key Azure cloud terminology and concepts.

• Serverless Proficiency (Advanced Level)

  31m | 31 questions

  The Serverless Proficiency benchmark measures whether a learner has an advanced understanding of Serverless practices with additional experience with Serverless tools and processes. A learner who scores high on this benchmark demonstrates professional proficiency in all of the major areas of the Serverless discipline across a variety of different platforms and deployments. This learner works and acts almost 100% independently of others and is seen as a leader in the industry.

• AWS Certified Solutions Architect Professional 2020: Design for New Security Solutions Proficiency (Advanced Level)

  30m | 30 questions

  The AWS Design for New Security Solutions Proficiency benchmark measures your skills to determine cross-account authentication and access strategy and to design a multi-account AWS environment for complex organizations. You will be evaluated on your skills to determine an auditing strategy for authentication and access. A learner who scores high on this benchmark demonstrates that they have the skills to implement the most appropriate account structure for proper agility and security.

• AWS SysOps Associate 2021: AWS Deployment, Provisioning, and Automation Competency (Intermediate Level)

  30m | 30 questions

  The AWS Deployment, Provisioning, and Automation Competency benchmark measures your ability to create and manage AMIs and AWS CloudFormation, provision resources across multiple AWS Regions and accounts, and identify and remediate deployment issues. You will be evaluated on your skills in using AWS services, implementing automated patch management, and scheduling automated tasks by using AWS services. A learner who scores high on this benchmark demonstrates that they have the skills to provision and maintain cloud resources and automate manual or repeatable processes.

• AWS Cloud Awareness (Entry Level)

  22m | 22 questions

  The AWS Cloud Awareness benchmark will measure your ability to recognize terms and concepts related to key AWS cloud concepts. You will be evaluated on the AWS value proposition, AWS cloud core services, elasticity, security, and storage. A learner who scores high on this benchmark demonstrates that they have an understanding of key AWS cloud terminology and concepts.

• VMware VCP-DCV vSphere 7: vCenter Administration and Management Competency (Intermediate Level)

  9m | 9 questions

  The VMware VCP-DCV vSphere 7: vCenter Administration and Management Competency (Intermediate Level) benchmark measures your knowledge of how to administer and manage vCenter Server and vSphere Client. You will be evaluated on your skills in configuring vCenter Server settings, managing vCenter Server inventory objects, and performing basic troubleshooting tasks. Learners who score high on this benchmark demonstrate that they have competency in many areas of the VMware administration discipline and have working exposure to VMware vSphere 7 vCenter administration and management principles and practices.

• AWS Associate Solutions Architect 2022: Design Secure Architectures (Intermediate Level)

  20m | 20 questions

  The AWS Design Secure Architectures Competency benchmark evaluates your ability to design a multi-tier architecture solution. You will be measured on your skills in designing decoupling mechanisms using AWS services and choosing appropriate resilient storage. A learner who scores high on this benchmark demonstrates that they have the skills to design highly available and/or fault-tolerant architectures.

• AWS SysOps Associate 2021: AWS Security and Compliance Competency (Intermediate Level)

  20m | 20 questions

  The AWS Security and Compliance Competency benchmark measures your ability to troubleshoot and audit access issues using AWS services, validate service control policies and permissions boundaries, and implement secure multi-account strategies. You will be evaluated on your skills in implementing data and infrastructure protection strategies, securely storing secrets using AWS services, and reviewing reports and findings. A learner who scores high on this benchmark demonstrates that they have the skills to implement and manage security and compliance policies.

• AWS Certified Solutions Architect Professional 2020: Organizational Complexity and Cost Control Proficiency (Advanced Level)

  25m | 25 questions

  The AWS Organizational Complexity and Cost Control Proficiency benchmark measures your ability to design a multi-account AWS environment for complex organizations. You will be evaluated on your skills to determine which controls to design and implement in order to ensure cost optimization and identify opportunities to reduce cost in an existing architecture. A learner who scores high on this benchmark demonstrates their skills to use AWS Organizations and select a cost-effective pricing model for a solution services.

• VMware VCP-DCV vSphere 7: Performance Tuning, Optimization, and Scaling Competency (Intermediate Level)

  5m | 5 questions

  The VMware VCP-DCV vSphere 7: Performance Tuning, Optimization, and Scaling Competency (Intermediate Level) benchmark measures your knowledge of how to optimize and scale vSphere environments. Learners who score high on this benchmark demonstrate that they have competency in many areas of the VMware administration discipline and have some working exposure to VMware performance tuning, optimization, and upgrade principles and practices.

• AZ-500: Azure Storage and Data Security Competency (Intermediate Level)

  30m | 30 questions

  The Azure Storage and Data Security Competency (Intermediate Level) benchmark measures your comprehensive understanding of securing and managing the storage and data within the Azure platform. You will be evaluated on your ability to manage Azure storage and file shares, secure Azure databases, and implement data security measures. A learner who scores high on this benchmark demonstrates competency in many areas of this domain and has the knowledge and insights needed to ensure that data stored within the Azure platform remains safe, secure, and accessible only to authorized personnel.

• AWS Certified Solutions Architect Professional 2020: Design for New Infrastructure Management Solutions Proficiency (Advanced Level)

  30m | 30 questions

  The AWS Design for New Infrastructure Management Solutions Proficiency benchmark evaluates your ability to determine a deployment strategy that meets business requirements when designing and implementing a solution. You will be measured on your skills to determine a solution design to meet performance objectives and ensure business continuity. A learner who scores high on this benchmark demonstrates that they have the skills to determine reliability and security requirements when designing and implementing a solution.

• MD-100: Windows Client Literacy (Beginner Level)

  16m | 16 questions

  The MD-100: Windows Client Literacy (Beginner Level) benchmark measures your working understanding of basic Windows administration concepts and tools. A learner who scores high on this benchmark can discuss basic Windows 10 administration concepts and actively participate and contribute to informed conversations on the subject.

• AWS SysOps Associate 2021: AWS Reliability and Business Continuity Competency (Intermediate Level)

  15m | 15 questions

  The AWS Reliability and Business Continuity Competency benchmark measures your ability to create and maintain AWS Auto Scaling plans, caching, Amazon RDS and Aurora Replicas, and loosely coupled architectures, as well as differentiate between horizontal and vertical scaling. You will be evaluated on your skills in configuring AWS Elastic Load Balancing and Amazon Route 53 health checks and implementing fault-tolerant workloads. A learner who scores high on this benchmark demonstrates that they have the skills to implement scalability, elasticity, high availability, resilient environments, and backup and restore strategies.

• VMware VCP-DCV vSphere 7: Networking and Storage Competency (Intermediate Level)

  11m | 11 questions

  The VMware VCP-DCV vSphere 7: Networking and Storage Competency (Intermediate Level) benchmark measures your knowledge of how to configure and manage vSphere standard and distributed switches and vSphere storage solutions. Learners who score high on this benchmark demonstrate that they have competency in many areas of the VMware administration discipline and have some working exposure to VMware vSphere 7 networking and storage principles and practices.

• AWS SysOps Associate 2022: AWS Reliability and Business Continuity Competency (Intermediate Level)

  25m | 25 questions

  The AWS Reliability and Business Continuity Competency (Intermediate Level) benchmark measures your knowledge of AWS disaster recovery, backup and restore, and multi-AZ deployments. You will be evaluated on your ability to maintain the stability, security, and performance of AWS-based applications and infrastructure. Learners who score high on this benchmark demonstrate that they have the skills to implement scalability, elasticity, high availability, resilient environments, and backup and restore strategies for AWS-based systems.

• Azure AI Fundamentals: Machine Learning on Microsoft Azure Competency (Intermediate Level)

  23m | 23 questions

  The Machine Learning on Microsoft Azure Competency benchmark measures your ability to recall and identify common machine learning types, core machine learning concepts such as identifying features and labels in a dataset, core tasks in creating machine learning solutions, and capabilities of no-code machine learning with Azure Learning Studio. A learner who scores high on this benchmark demonstrates that they have the necessary knowledge and skills to build machine learning solutions on the Azure platform.

• Microsoft Azure Administrator: Implement and Manage Storage Competency (Intermediate Level)

  28m | 28 questions

  The Implement and Manage Storage Competency (Intermediate Level) benchmark assesses your ability to design and implement storage solutions that meet business requirements, protect critical data, and ensure high availability of storage resources. Learners will be evaluated on their skills in managing Azure Storage, creating storage accounts, configuring storage options, implementing Azure Backup, and monitoring and optimizing storage performance. A learner who scores high on this competency demonstrates their ability to design and implement storage solutions that meet performance, scalability, and availability requirements. They also have knowledge of how to select and configure the appropriate storage options to meet specific business needs and monitor and optimize storage performance.

• AWS SysOps Associate 2022: AWS Security and Compliance Competency (Intermediate Level)

  23m | 23 questions

  The AWS Security and Compliance Competency (Intermediate Level) benchmark assesses your ability to detect security vulnerabilities using Amazon Inspector and use Amazon GuardDuty to view security findings. You will be evaluated on your skills in viewing Security Hub recommendations, examining the AWS Health Dashboard to view the status of AWS services, and working with Amazon CloudTrail to audit AWS service usage and ensure log integrity. Learners who score high on this benchmark demonstrate that they have the skills to implement and manage security and compliance policies.

• Microsoft Azure Data Fundamentals: Azure Data Analytics Competency (Intermediate Level)

  19m | 19 questions

  The Microsoft Azure Data Fundamentals: Azure Data Analytics Competency (Intermediate Level) benchmark measures your ability to identify, recognize, and apply concepts of data analytics, the Azure Synapse Analytics architecture, and transactional and analytical workloads. You will be evaluated on your ability to recognize concepts about Synapse Analytics, Synapse SQL pool, batch and real-time data processing, and using the Azure portal, Azure PowerShell, Azure Data Lake Analytics, and Azure Data Factory. A learner who scores high on this benchmark demonstrates that they have the necessary Azure data analytics skills to perform analytics on the Azure platform with minimal supervision.

• Application Architecture Awareness (Beginner)

  20m | 15 questions

  The Application Architecture Awareness benchmark will measure your ability to recognize key terms and concepts related to key Application Architecture concepts. You will be evaluated on software architetcure, service-orientated architecture, microservices architecture, and cloud-based application architecture. A learner who scores high on this benchmark demonstrates that they have the skills related understanding key Application Architecture terminology and concepts.

• AWS Associate Solutions Architect 2020: Design Secure Applications and Architectures Competency (Intermediate Level)

  30m | 30 questions

  The AWS Design Secure Applications and Architectures Competency benchmark measures your ability to determine when and how to use security groups and to select appropriate data security options. You will be assessed on your skills to design secure access to AWS resources and choose appropriate services to create traceability for access to AWS resources. A learner who scores high on this benchmark demonstrates that they have the skills to design secure application tiers and select appropriate policies and AWS services to protect against threats.

• Azure Management Tools Literacy (Beginner Level)

  24m | 24 questions

  The Azure Management Tools Literacy benchmark will measure your ability to recognize key terms and concepts related to key Azure management tools. You will be evaluated on using the CLI to manage resources, using PowerShell to manage resources, managing virtual networks, managing storage, managing virtual machines, and managing security groups. A learner who scores high on this benchmark demonstrates that they have the skills related to understanding key Azure management tools terminology and concepts.

• Azure Cost Management and Service Level Agreements Literacy (Beginner Level)

  18m | 18 questions

  The Azure Cost Management and Service Level Agreements Literacy benchmark will measure your ability to recognize key terms and concepts related to key Azure cost management and service level agreements. You will be evaluated on Azure monitoring, configuring alerts, and analyzing Azure costs and invoices. A learner who scores high on this benchmark demonstrates that they have an understanding of key Azure cost management and service level agreement terminology and features.

• AZ-400: Design and Implement Source Control Competency (Intermediate Level)

  22m | 22 questions

  The Design and Implement Source Control Competency (Intermediate Level) benchmark assesses your ability to design and implement effective source control strategies for software development. You will be evaluated on your skills in effectively creating and managing code branches, managing conflicts and merges, and implementing code reviews to ensure code quality and compliance with development standards. You will also be evaluated on your ability to implement best practices for version control, automate build and deployment processes, and improve efficiency and productivity. Learners who score high on this benchmark demonstrate that they are able to design and implement effective source control strategies, manage code repositories, and ensure code quality and compliance. This competency is essential for software development teams to work together efficiently and effectively, deliver high-quality code, and ensure continuous improvement.

• GCP Architect: Designing and Planning a Cloud Solution Architecture Competency (Intermediate Level)

  29m | 29 questions

  The Designing and Planning a Cloud Solution Architecture Competency (Intermediate Level) benchmark measures your understanding of the skills and knowledge required to design and plan a cloud solution architecture that meets business and technical requirements. You will be evaluated on your ability to design for business and technical requirements, Google compute services, container orchestration, networking, storage, and databases. A learner who scores high on this benchmark demonstrates competency in many areas of this domain with the knowledge and insights needed to analyze customer needs, choose appropriate GCP services, and create a migration plan.

• GCP Architect: Managing and Provisioning a Solution Infrastructure Competency (Intermediate Level)

  23m | 23 questions

  The Managing and Provisioning a Solution Infrastructure Competency (Intermediate Level) benchmark measures your comprehensive understanding of managing and provisioning a cloud solution infrastructure using GCP services. A learner who scores high on this benchmark demonstrates competency in many areas of this domain with the knowledge and insights needed to make informed decisions about planning for implementation and cloud migrations.

• DP-100: Prepare Azure Model Deployment Competency (Intermediate Level)

  40m | 40 questions

  The Prepare Azure Model Deployment Competency (Intermediate Level) benchmark measures your ability to identify Data Factory concepts, run model training scripts, and implement training. You will be evaluated on your recognition of pipelines, model deployment and monitoring, metrics for evaluation, and model disaster recovery. A learner who scores high on this benchmark demonstrates that they have good experience in using Azure for building and deploying machine learning solutions on the Azure platform.

• AWS SysOps Associate 2022: AWS Deployment, Provisioning, and Automation Competency (Intermediate Level)

  17m | 17 questions

  The AWS Deployment, Provisioning, and Automation Competency (Intermediate Level) benchmark measures your ability to select appropriate deployment scenarios and services, provision resources across multiple AWS Regions and accounts, and perform automated patch management. You will be evaluated on your skills in creating and managing AMIs, using and troubleshooting AWS CloudFormation, identifying and remedying deployment issues, and using AWS services to schedule automated tasks. Learners who score high on this benchmark demonstrate that they have the skills to provision and maintain cloud resources and automate manual or repeatable processes.

• MD-100: Windows Client Proficiency (Advanced Level)

  28m | 28 questions

  The MD-100: Windows Client Proficiency (Advanced Level) benchmark measures your experienced and advanced-level working knowledge of Windows administration concepts and tools. A learner who scores high on this benchmark can work independently on Windows 10 administration tasks and have a significant and deep understanding of its concepts. They can be considered thought and practice leaders on a team and the go-to person for answers.

• Microsoft Azure Data Fundamentals: Core Data Concepts Literacy (Beginner Level)

  9m | 9 questions

  The Microsoft Azure Data Fundamentals: Core Data Concepts Literacy (Beginner Level) benchmark measures your ability to identify and recognize basic data concepts and how it is represented and used. You will be measured on your knowledge of concepts such as different data formats, types of storage, databases, and types of data processing. A learner who scores high on this benchmark demonstrates that they have the necessary knowledge of data fundamentals and the skills to start exploring Azure.

• AZ-500: Azure Platform Protection Competency (Intermediate Level)

  29m | 29 questions

  The Azure Platform Protection Competency (Intermediate Level) benchmark measures your comprehensive understanding of securing and safeguarding the Azure platform. You will be evaluated on your ability to restrict resource access with roles, implement Azure network security, secure network access with VPNs, and more. A learner who scores high on this benchmark demonstrates competency in many areas of this domain and can make informed decisions to ensure that the Azure platform remains protected against potential security threats and unauthorized access, thereby ensuring the safety and integrity of the platform and its users.

• CloudOps Awareness (Entry Level)

  11m | 11 questions

  The CloudOps Awareness benchmark measures whether a learner has been exposed to basic CloudOps technologies. A learner who scores high on this benchmark demonstratrates an ability to identify gaps in their understanding, and use research tools to begin their learning journey in CloudOps.

• VMware VCP-DCV vSphere 7: Installation and Configuration Basics Literacy (Beginner Level)

  10m | 10 questions

  The VMware VCP-DCV vSphere 7: Installation and Configuration Basics Literacy (Beginner Level) benchmark measures your knowledge of how to install, configure, and manage vSphere components such as ESXi hosts, vCenter Server, and vSphere Client. Learners who score high on this benchmark demonstrate that they have literacy in primary areas of the VMware administration discipline and basic working exposure to VMware vSphere 7 installation and configuration principles and practices.

• Microsoft Azure Data Fundamentals: Azure Data Analytics Literacy (Beginner Level)

  11m | 11 questions

  The Microsoft Azure Data Fundamentals: Azure Data Analytics Literacy (Beginner Level) benchmark measures your ability to identify and recognize the basic concepts of data analytics, data visualization, Azure Storage services, ELT, and ETL. You will be evaluated on your ability to recognize concepts such as analytics and reporting, analytical techniques, stream analytics and data types, and processing data using ETL and ELT. A learner who scores high on this benchmark demonstrates that they have the necessary Azure data analytics knowledge to start exploring analytics on the Azure platform.

• GCP Architect: Designing for Security and Compliance Competency (Intermediate Level)

  28m | 28 questions

  The Designing for Security and Compliance Competency (Intermediate Level) benchmark measures your knowledge and skills in designing a secure and compliant cloud solution architecture. A learner who scores high on this benchmark demonstrates competency in many areas of designing for Google Cloud security, cryptography, and compliance.

• AWS Associate Solutions Architect 2020: Design Resilient Architectures Competency (Intermediate Level)

  17m | 17 questions

  The AWS Design Resilient Architectures Competency benchmark evaluates your ability to design a multi-tier architecture solution. You will be measured on your skills to design decoupling mechanisms using AWS services and choose appropriate resilient storage. A learner who scores high on this benchmark demonstrates that they have the skills to design highly available and/or fault-tolerant architectures.

• AZ-500: Azure Application Protection and Governance Competency (Intermediate Level)

  30m | 30 questions

  The Azure Application Protection and Governance Competency (Intermediate Level) benchmark measures your knowledge and skills in securing and managing Azure applications. A learner who scores high on this benchmark demonstrates competency in many areas of this domain and can ensure Azure applications are protected against potential security threats and adhere to governance principles, thereby ensuring the integrity and reliability of the applications.

• AZ-500: Azure Security Operations Competency (Intermediate Level)

  30m | 30 questions

  The Azure Security Operations Competency (Intermediate Level) benchmark measures your knowledge and skills in ensuring that the Azure platform remains secure, reliable, and resilient in the face of potential security threats and other operational challenges. A learner who scores high on this benchmark demonstrates competency in many areas of this domain and can implement robust security operations measures to safeguard the applications and data against potential threats while ensuring that the business operations remain uninterrupted and resilient.

• AWS Cloud Practitioner: Cloud Concepts and Technology Literacy (Beginner Level)

  25m | 25 questions

  The AWS Cloud Concepts and Technology Literacy benchmark measures your ability to recognize the value of the AWS Cloud. You will be assessed on your skills to describe and position the core AWS services, including compute, network, databases, and storage. A learner who scores high on this benchmark demonstrates that they have the skills to identify AWS services for common use cases.

• AWS Cloud Practitioner 2022: Cloud Technology Literacy (Beginner Level)

  30m | 30 questions

  The Cloud Technology Literacy (Beginner Level) benchmark measures your knowledge of AWS storage and databases, best practices for monitoring and optimization, and the various tools involved in cloud deployment and operation and how to configure them. You will be evaluated on your skills in outlining the features and purposes of AWS core services and the fundamental aspects of AWS technology support services. Learners who score high on this benchmark demonstrate that they have the skills to work with AWS core services and recognize the deployment techniques and technology support resources.

• MD-100: Windows Client Awareness (Entry Level)

  15m | 15 questions

  The MD-100: Windows Client Awareness (Entry Level) benchmark measures your exposure to basic Windows administration concepts and tools. A learner who scores high on this benchmark has an understanding of basic Windows 10 administration concepts and can participate in informed conversations on the subject.

• CloudOps Literacy (Beginner Level)

  25m | 25 questions

  The CloudOps Literacy benchmark measures whether a learner has some working knowledge and exposure in cloud operations technologies, practices, and principles. A learner who scores high on this benchmark demonstrates an ability to participate in technical discussions regarding CloudOps.

• GCP Cloud Awareness (Entry Level)

  20m | 20 questions

  The GCP Cloud Awareness benchmark will measure your ability to recognize key terms and concepts related to key GCP cloud concepts. You will be evaluated on recognizing GCP services, managing Google resources, Google virtual machines, Good security, and roles. A learner who scores high on this benchmark demonstrates that they have the skills related to understanding key GCP cloud terminology and concepts.

• AZ-500: Azure Identity and Access Management Competency (Intermediate Level)

  30m | 30 questions

  The Azure Identity and Access Management Competency (Intermediate Level) benchmark measures your understanding of managing user access and authentication to Azure resources. You will be evaluated on your ability to manage Azure Active Directory (AD) users, groups, and features. A learner who scores high on this benchmark demonstrates competency in many areas of this domain and has the knowledge and insights needed to secure Azure AD users and implement secure access to Azure resources using Azure AD.

• AWS Certified Solutions Architect - Professional 2022: Design Solutions for Organizational Complexity Competency (Intermediate Level)

  22m | 22 questions

  The Design Solutions for Organizational Complexity Competency (Intermediate Level) benchmark calibrates your ability to create and manage virtual private clouds (VPCs), subnets, Elastic IPs, network configurations related to VPC peering, VPNs, Direct Connect, and network gateways, as well as use various AWS network and security solutions. You will be evaluated on your skills in deploying and managing various AWS Network Firewall solutions, configuring one or more AWS accounts using Organizations, and automating resource deployment using templates. Learners who score high on this benchmark demonstrate that they have the skills to architect network connectivity strategies and design reliable and resilient architectures.

• AWS Certified DevOps Engineer 2021: AWS Policies and Standards Automation Competency (Intermediate Level)

  15m | 15 questions

  The AWS Policies and Standards Automation Competency benchmark measures your skills for setting up automatic monitoring and response to health and performance incidents. You will be evaluated on your skills to set up automatic cost management, budgeting, and optimization of resource costs. A learner who scores high on this benchmark demonstrates that they have the skills necessary to apply governance standards and monitor compliance with the governance strategy.

• Azure AI Fundamentals: Conversational AI on Microsoft Azure Competency (Intermediate Level)

  15m | 15 questions

  The Conversational AI on Microsoft Azure Competency benchmark measures your ability to recall and identify the common use cases for conversational AI, Azure tools, and services for conversational AI. A learner who scores high on this benchmark demonstrates that they have the necessary knowledge and skills to build conversational AI workloads on the Azure platform.

• AWS Associate Solutions Architect 2022: Design Resilient Architectures Competency (Intermediate Level)

  20m | 18 questions

  The AWS Design Resilient Architectures Competency benchmark evaluates your ability to design a multi-tier architecture solution. You will be measured on your skills in designing decoupling mechanisms using AWS services and choosing appropriate resilient storage. A learner who scores high on this benchmark demonstrates that they have the skills to design highly available and/or fault-tolerant architectures.

• AWS Certified Solutions Architect - Professional 2022: Accelerate Workload Migration and Modernization Competency (Intermediate Level)

  30m | 30 questions

  The Accelerate Workload Migration and Modernization Competency (Intermediate Level) benchmark assesses your recognition of how AWS Global Infrastructure and classifying data can help with meeting business needs. You will be evaluated on your skills in deploying and managing DNS name resolution, Linux and Windows EC2 instances, S3 buckets, objects, and storage tiers. You will also be evaluated on your ability to identify when to use AWS Storage Gateway and CloudFront and plan the deployment and management of AWS databases, ElastiCache, EBS volumes, and EFS. Learners who score high on this benchmark demonstrate that they have the skills to determine a new architecture for existing workloads and opportunities for modernization and enhancements.

• AWS Associate Solutions Architect 2020: Design High-performing Architectures Competency (Intermediate Level)

  32m | 32 questions

  The AWS Design High-performing Architectures Competency benchmark measures your ability to identify elastic and scalable compute solutions for a workload. You will be assessed on your skills to select high-performing networking, storage, and database solutions for a workload. A learner who scores high on this benchmark demonstrates that they have the skills to choose appropriate high performing solutions.

• AWS Certified Solutions Architect Professional 2020: Design for New Storage Solutions Proficiency (Advanced Level)

  30m | 30 questions

  The AWS Design for New Storage Solutions Proficiency benchmark measures your ability to determine target database platforms. You will be evaluated on your skills to enable data replication, self-healing, and elastic features and services. A learner who scores high on this benchmark demonstrates that they have the skills to analyze data volume and rate of change, determine a data transfer strategy, and select an appropriate database transfer mechanism.

• AWS SysOps Associate 2021: AWS Networking and Content Delivery Competency (Intermediate Level)

  20m | 20 questions

  The AWS Networking and Content Delivery Competency benchmark measures your ability to configure a VPC, private connectivity, and AWS network protection services. You will be evaluated on your skills in configuring domains, DNS services, and content delivery. A learner who scores high on this benchmark demonstrates that they have the skills to implement and troubleshoot network connectivity issues.

• Microsoft Azure Administrator: Manage Azure Identities and Governance Competency (Intermediate Level)

  27m | 27 questions

  The Manage Azure Identities and Governance Competency (Intermediate Level) benchmark assesses your ability to design and implement identity and access management (IAM) solutions that meet business requirements. You will be evaluated on your skills in creating and executing IAM solutions, ensuring proper compliance and governance, and protecting organizational assets. A learner who scores high on this competency demonstrates their ability to develop and implement identity and access management solutions that meet security, compliance, and governance requirements. They also know how to configure Azure AD Connect to synchronize on-premises identities with Azure AD.

• Azure Cloud Awareness (Entry Level)

  20m | 20 questions

  The Azure Cloud Awareness benchmark will measure your ability to recognize key terms and concepts related to key Azure cloud concepts. You will be evaluated on Azure service models, Azure regions, Azure subscriptions, Azure virtual networks, Azure management, and Azure security. A learner who scores high on this benchmark demonstrates that they have the skills related to understanding key Azure cloud terminology and concepts.

• CloudOps Competency (Intermediate Level)

  22m | 22 questions

  The CloudOps Competency benchmark measures whether a learner has had some exposure and experience in cloud operations technologies, practices, and principles. A learner who scores high on this benchmark demonstratrates a knowledge of the major areas of cloud operations, across a variety of different cloud platforms and deployments, but requires input and oversight from a more advanced CloudOps expert.

• AZ-900: Azure Migration and Integration Literacy (Beginner Level)

  13m | 13 questions

  The AZ-900: Azure Migration and Integration Literacy (Beginner Level) benchmark measures your knowledge and skills in utilizing Azure software development services. You will be evaluated on your ability to enable software development processes, continuous integration/continuous deployment (CI/CD), and testing in Azure. A learner who scores high on this benchmark demonstrates that they have literacy in many areas of operations related to planning and executing the migration of workloads to Azure, including considerations for Azure-specific services and features.

• AZ-900: Azure Infrastructure and Virtual Machines Competency (Intermediate Level)

  30m | 30 questions

  The AZ-900: Azure Infrastructure and Virtual Machines Competency (Intermediate Level) benchmark measures your comprehensive understanding of the foundational infrastructure and virtual machines in Azure. You will be evaluated on your knowledge of managing Azure Storage services and working with Azure Files for shared file storage. A learner who scores high on this benchmark demonstrates that they have competency in many areas of this domain, including the knowledge and insights needed to make informed decisions about deploying and managing Azure virtual machines and utilizing Azure container solutions for web and mobile applications.

• CloudOps Proficiency (Advanced Level)

  28m | 28 questions

  The CloudOps Proficiency benchmark measures whether a learner has had significant exposure and experience in cloud operations technologies, practices, and principles. A learner who scores high on this benchmark demonstratrates an independent knowledge of the major areas of cloud operations, across a variety of different cloud platforms and deployments.

• Microsoft Azure Data Fundamentals: Azure Data Analytics Proficiency (Advanced Level)

  19m | 19 questions

  The Microsoft Azure Data Fundamentals: Azure Data Analytics Proficiency (Advanced Level) benchmark measures your ability to identify, recognize, and apply the concepts of data analytics, data visualization with Microsoft Power BI, and modern data warehousing. You will be evaluated on your ability to recognize concepts such as optimizing data, datasets, dashboards, reporting, visualization types, data warehousing benefits, and using Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Analysis Services, Azure HDInsight, and the Azure Distributed Data Engineering Toolkit (AZTK). A learner who scores high on this benchmark demonstrates that they have the necessary Azure data analytics skills to perform analytics on the Azure platform independently.

• AWS Certified Solutions Architect - Professional 2022: Design for New Solutions Competency (Intermediate Level)

  28m | 28 questions

  The Design for New Solutions Competency (Intermediate Level) benchmark measures your ability to recognize when and how to use various AWS cryptographic services and manage IAM users, groups, roles, and policies to secure access to AWS resources. You will be evaluated on your skills in deploying and managing AWS Directory Service solutions, using AWS Backup to ensure business continuity for backed-up data, and managing monthly AWS cloud computing charges. Learners who score high on this benchmark demonstrate that they have the skills to design a deployment strategy to meet business and reliability requirements and determine security controls based on requirements.

• Microsoft Azure Administrator: Configure and Manage Virtual Networking Competency (Intermediate Level)

  18m | 18 questions

  The Configure and Manage Virtual Networking Competency (Intermediate Level) benchmark assesses your ability to design, deploy, and manage virtual networks and network security solutions in Azure. You will be evaluated on your skills in creating and configuring virtual networks, implementing network security solutions, managing network traffic, and troubleshooting network issues. A learner who scores high on this competency demonstrates their ability to design and deploy virtual networks that meet business requirements for connectivity, security, and availability. They also possess knowledge in creating and configuring virtual networks, managing network traffic, optimizing network performance, and configuring a virtual private network (VPN).

• Serverless Awareness (Entry Level)

  14m | 14 questions

  The Serverless Awareness benchmark measures whether a learner has had exposure to basic Serverless practices and theories. A learner who scores high on this benchmark demonstrates awareness in some areas of the Serverless discipline.

• Azure AI Fundamentals: Natural Language Processing on Microsoft Azure Competency (Intermediate Level)

  9m | 9 questions

  The Natural Language Processing on Microsoft Azure Competency benchmark measures your ability to recall and identify the common NLP workloads, and Azure tools and services for NLP workloads. A learner who scores high on this benchmark demonstrates that they have the necessary knowledge and skills to build NLP workloads on the Azure platform.

• Microsoft 365 Competency (Intermediate Level)

  30m | 30 questions

  The Microsoft 365 Competency benchmark will measure your ability to recognize key terms and concepts related to Microsoft 365. You will be evaluated on Windows 10 and Microsoft 365 implementation, administering collaboration features in Microsoft 365, deploying Microsoft Teams features, implementing Microsoft 365 security, implementing mobile device management, and Microsoft 365 pricing management. A learner who scores high on this benchmark demonstrates that they have the skills related to understanding key Microsoft 365 terminology and concepts.

• AWS Associate Solutions Architect 2022: Design Cost-optimized Architectures Competency (Intermediate Level)

  20m | 20 questions

  The AWS Design Cost-optimized Architectures Competency benchmark measures your ability to select appropriate scaling strategies from a cost perspective, identify when content delivery can be used to reduce costs, and recognize the strategies to reduce data transfer costs within AWS. You will be evaluated on your skills to determine the most cost-effective database options based on requirements. A learner who scores high on this benchmark demonstrates that they have the skills to identify cost-effective storage solutions, compute, database, and network services.

• Microsoft Azure Data Fundamentals: Azure Non-relational Data Workloads Proficiency (Advanced Level)

  23m | 23 questions

  The Microsoft Azure Data Fundamentals: Azure Non-relational Data Workloads Proficiency (Advanced Level) benchmark measures your ability to identify, recognize, and apply concepts of Azure non-relational data workloads. You will be evaluated on your ability to recognize concepts such as Azure Cosmos DB, provisioning and configuring an Azure Cosmos database, non-relational data management, and more. A learner who scores high on this benchmark demonstrates that they have the necessary Azure non-relational data skills to perform non-relational data workloads on the Azure platform independently.

• AWS Cloud Practitioner 2022: Cloud Concepts and Cloud Economics Literacy (Beginner Level)

  30m | 30 questions

  The Cloud Concepts and Cloud Economics Literacy (Beginner Level) benchmark measures your knowledge of the fundamentals of AWS networking and compute services and cloud architecture design principles. You will be evaluated on your ability to define aspects of the AWS Cloud, its value proposition, and the characteristics of AWS Cloud Economics. Learners who score high on this benchmark demonstrate that they have the skills to recognize cloud architecture design principles and Cloud Economics.

• AZ-305: Design Infrastructure Solutions Proficiency (Advanced Level)

  28m | 28 questions

  The AZ-305: Design Infrastructure Solutions Proficiency benchmark measures your ability to design container and serverless-based compute solutions, messaging and event-driven architecture, and an automated deployment solution. You will be evaluated on your skills to recommend an appropriately sized compute solution based on workload requirements. A learner who scores high on this benchmark demonstrates that they have the skills to design a compute solution and an application architecture, and recommend an appropriate solution for migration.

• AWS SysOps Associate 2022: AWS Cost and Performance Optimization Competency (Intermediate Level)

  10m | 10 questions

  The AWS Cost and Performance Optimization Competency (Intermediate Level) benchmark measures your knowledge of AWS Compute Optimizer and various cost savings strategies to reduce monthly charges across all AWS services. You will be evaluated on your skills in configuring the S3 Requester Pays option, working with Elastic Compute Cloud (EC2) instance reservations and Spot Instances, and tagging resources for cost allocation using the Console, CLI, and PowerShell. Learners who score high on this benchmark demonstrate that they have the skills to implement cost optimization and performance optimization strategies.

Cloud Security

• Certified Cloud Security Professional (CCSP): Cloud Security Operations Competency (Intermediate Level)

  25m | 25 questions

  The Cloud Security Operations Competency (Intermediate Level) benchmark measures your knowledge of cloud security operations. You will be evaluated on your skills in security monitoring and analysis, security operations management, incident management and response, disaster recovery and business continuity planning, and network and infrastructure security. A learner who scores high on this benchmark demonstrates competency in many areas of operations related to cloud security discipline and has had some working exposure to CCSP cloud application security principles and practices.

• Certified Cloud Security Professional (CCSP): Cloud Concepts, Architecture, and Design Competency (Intermediate Level)

  30m | 30 questions

  The Cloud Concepts, Architecture, and Design Competency (Intermediate Level) benchmark measures your knowledge of secure cloud computing concepts, architecture, and design principles. You will be evaluated on your recognition of service and deployment models, cloud reference architecture, security principles and requirements, cloud security models, and design principles. A learner who scores high on this benchmark demonstrates competency in many areas of the cloud computing conceptual discipline and has had some working exposure to CCSP cloud concepts, architecture, and design principles and practices for secure cloud computing.

• Certified Cloud Security Professional (CCSP): Cloud Data, Platform, and Infrastructure Security Competency (Intermediate Level)

  15m | 15 questions

  The Cloud Data, Platform, and Infrastructure Security Competency (Intermediate Level) benchmark measures your knowledge of securing cloud platforms, infrastructure, and cloud data. You will be evaluated on your skills in data classification, retention, encryption, leakage and loss prevention, storage security, and backup and recovery. A learner who scores high on this benchmark demonstrates competency in many security areas concerning cloud platforms, infrastructure, and cloud data. They have some practical experience with CCSP topics, including securing cloud data, virtual and physical components, network design, application development and deployment, vulnerability and identity and access management, and incident response and recovery principles and procedures.

• Certified Cloud Security Professional (CCSP) Proficiency (Advanced Level)

  30m | 30 questions

  The Certified Cloud Security Professional (CCSP) Proficiency benchmark measures if your experience with cloud security practices and theories is extensive. A learner who scores high on this benchmark demonstrates that they have genuine working knowledge in the major areas of cloud security and can actively participate in discussions with peers. They can also work independently and mostly without supervision.

• Certified Cloud Security Professional (CCSP) Awareness (Entry Level)

  16m | 16 questions

  The Certified Cloud Security Professional (CCSP) Awareness benchmark measures your exposure to basic cloud security practices and theories, mainly at the vocabulary level. A learner who scores high on this benchmark demonstrates that they have awareness in some areas of cloud security.

• Certified Cloud Security Professional (CCSP): Legal, Risk, and Compliance Competency (Intermediate Level)

  30m | 30 questions

  The Legal, Risk, and Compliance Competency (Intermediate Level) benchmark measures your knowledge of legal, risk, and compliance cloud computing concepts. You will be evaluated on your recognition of relevant laws and regulations, risk assessments and management, compliance frameworks and standards, auditing and assessments, and privacy and data protection. A learner who scores high on this benchmark demonstrates competency in many areas of the legal, risk, and compliance discipline and has had some working exposure to the CCSP legal, risk, and compliance aspects of cloud computing.

• Certified Cloud Security Professional (CCSP) Competency (Intermediate Level)

  18m | 18 questions

  The Certified Cloud Security Professional (CCSP) Competency benchmark measures your working experience with cloud security practices and theories. A learner who scores high on this benchmark demonstrates they have genuine working knowledge in the major areas of cloud security and can actively participate in discussions with peers. They can also work competently under the supervision of more advanced cloud security practitioners.

• Certified Cloud Security Professional (CCSP): Cloud Application Security Competency (Intermediate Level)

  15m | 15 questions

  The Cloud Application Security Competency (Intermediate Level) benchmark measures your knowledge of software and application security. You will be evaluated on your skills in securing Software as a Service (SaaS) applications, securing software development and testing, implementing application security controls, and securing application deployment and maintenance. A learner who scores high on this benchmark demonstrates competency in many areas of the software and application security discipline and has had some working exposure to CCSP cloud application security principles and practices.

• Certified Cloud Security Professional (CCSP) Literacy (Beginner Level)

  18m | 18 questions

  The Certified Cloud Security Professional (CCSP) Literacy benchmark measures your exposure to basic cloud security practices and theories. A learner who scores high on this benchmark demonstrates that they have a genuine understanding of the major areas of cloud security and can actively participate in discussions with peers.

Big Data

• Big Data Awareness (Entry Level)

  15m | 15 questions

  The Big Data Awareness benchmark measures whether a learner has exposure to big data concepts, including what big data is, various sources of big data, formats, applications, and use cases for big data analytics. A learner who scores high on this benchmark demonstrates that they have the foundational knowledge of big data.

• Data Lakes Competency (Intermediate Level)

  20m | 15 questions

  The Data Lakes Competency (Intermediate Level) benchmark assesses your recognition of core data lake concepts. You will be evaluated on your skills in recognizing high-level elements of data lakes, architectures, and techniques. Learners who score high on this benchmark demonstrate that they have a solid understanding of intermediate-level data lake architecture techniques.

• Technology Essentials

  15m | 10 questions

  The Technology Essentials benchmark will measure your ability to recall and relate the underlying concepts of digital technologies. You will be evaluated on your understanding of standard technologies; you will also be asked to recall common vocabulary from the tech industry and understand the importance of addressing legacy within complex systems. A learner who scores high on this benchmark demonstrates that they have the essential digital technology skills and can understand and grasp the underlying technical concepts and practices.

• Data Warehousing Competency (Intermediate Level)

  20m | 12 questions

  The Data Warehousing Competency (Intermediate Level) benchmark assesses your recognition of core data warehousing concepts. You will be evaluated on your skills in recognizing high-level elements of data warehousing, architectures, and techniques. Learners who score high on this benchmark demonstrate that they have a solid understanding of intermediate-level data warehousing techniques.

• Apache Spark Competency (Intermediate Level)

  20m | 15 questions

  The Apache Spark Competency (Intermediate Level) benchmark measures your knowledge of deploying, using and streaming with Apache Spark. You will be evaluated on Spark clusters, jobs, streaming, and transforming with Spark SQL. Learners scoring high on this benchmark demonstrate the skills necessary to using Apache Spark in thr data streaming applications.

• Big Data Literacy (Beginner Level)

  22m | 22 questions

  The Big Data Literacy benchmark measures whether a learner has exposure to big data concepts like what big data is, various sources of big data, formats, applications, and use cases of big data analytics, distributed architecture for handling big data, various tools/technologies, and frameworks for carrying out big data analytics. A learner who scores high on this benchmark demonstrates that they have good knowledge to start learning and working on big data technologies with supervision and training.

• Big Data

  7m | 7 questions

  Big data represents high volume, high-velocity information assets, which enable better analytics, insight, decision making, and process automation. Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Learn how big data can be analyzed for insights that lead to better decisions and strategic business moves. This benchmark evaluates your understanding of this topic. Being aware of potential knowledge gaps allows you to better understand your current competency and areas for improvement, so you can find suitable content and curate your own learning path. The courses recommended at the end of this benchmark can help you fill potential gaps in your knowledge.

Data Analytics

• AI and ML Data Strategy Proficiency (Advanced Level)

  28m | 28 questions

  The AI and ML Data Strategy Proficiency (Advanced Level) benchmark measures your knowledge of how to guide managers and decision-makers in the steps required to formulate a comprehensive artificial intelligence (AI) strategy aligned with business goals. You will be evaluated on your ability to outline the importance of recognizing and addressing data bias and ethical considerations in AI projects and the importance of establishing effective data management and governance strategies to support AI initiatives. A learner who scores high on this benchmark demonstrates that they have the skills necessary to develop an AI and ML data strategy in their organization and can build a robust data strategy.

• AI and ML Data Strategy Competency (Intermediate Level)

  22m | 22 questions

  The AI and ML Data Strategy Competency (Intermediate Level) benchmark measures your knowledge of the key concepts, use cases, benefits, and types of data analytics. You will be evaluated on your ability to identify the different roles, functions, and best structure and strategy for data teams, as well as what data ethics is, its importance, and how it relates to artificial intelligence (AI). A learner who scores high on this benchmark demonstrates that they have good knowledge of AI and ML data strategy to be followed in building their team.

• Predictive Analytics in Agriculture Literacy (Beginner Level)

  8m | 8 questions

  The Predictive Analytics in Agriculture Literacy (Beginner Level) benchmark measures your ability to identify the need for artificial intelligence (AI) and predictive analytics in agriculture. You will be evaluated on your skills in identifying various use cases where one can apply predictive analytics. A learner who scores high on this benchmark demonstrates that they have a good understanding of predictive analytics needs and various use cases in agriculture.

• Predictive Analytics in Agriculture Competency (Intermediate Level)

  21m | 21 questions

  The Predictive Analytics in Agriculture Competency (Intermediate Level) benchmark measures your ability to identify how to perform classification using machine learning on agriculture data. You will be evaluated on your skills in applying clustering to soil features and conditions and performing prediction using regression. A learner who scores high on this benchmark demonstrates that they have experience performing predictive analytics in agriculture.

• Predictive Analytics in Operations Literacy (Beginner Level)

  9m | 9 questions

  The Predictive Analytics in Operations Literacy (Beginner Level) benchmark measures your ability to identify various mathematical and machine learning (ML) models and artificial intelligence (AI) used in operations. You will be evaluated on your skills in applying ML models for various tasks, such as selecting reliable suppliers, detecting faulty motors, and optimizing a supply chain. A learner who scores high on this benchmark demonstrates that they have an awareness and understanding of why and how predictive analytics and AI is used in operations.

• Predictive Analytics in Healthcare Competency (Intermediate Level)

  16m | 16 questions

  The Predictive Analytics in Healthcare Competency (Intermediate Level) benchmark measures your ability to identify and apply predictive analytics in the healthcare domain. You will be evaluated on your skills in using predictive analytics for various use cases, such as detecting kidney diseases and identifying tumors with deep learning models. A learner who scores high on this benchmark demonstrates that they have experience performing predictive analytics on data in the healthcare domain.

• Predictive Analytics in Cybersecurity Competency (Intermediate Level)

  15m | 15 questions

  The Predictive Analytics in Cybersecurity Competency (Intermediate Level) benchmark measures your ability to apply machine learning and predictive analytics techniques to identify and prevent cyber attacks. You will be evaluated on your skills in identifying and testing network cyber attack data, visualizing data, setting up data for machine learning, and preprocessing and transforming data before applying machine learning techniques, classification models, and feature selection. A learner who scores high on this benchmark demonstrates that they have experience in applying machine learning and predictive analytics for cybersecurity with minimal supervision.

• Predictive Analytics in Healthcare Literacy (Beginner Level)

  9m | 9 questions

  The Predictive Analytics in Healthcare Literacy (Beginner Level) benchmark measures your ability to identify the need for artificial intelligence (AI) and predictive analytics in the healthcare domain. You will be evaluated on your skills in identifying various use cases where one can apply predictive analytics. A learner who scores high on this benchmark demonstrates that they have a good understanding of predictive analytics needs and various use cases in healthcare.

• Predictive Analytics in Operations Competency (Intermediate Level)

  18m | 18 questions

  The Predictive Analytics in Operations Competency (Intermediate Level) benchmark measures your ability to apply suitable machine learning algorithms and perform predictive analytics for various use cases in the operations field. You will be evaluated on your skills in viewing important model attributes, comparing and evaluating model performance, and optimizing the models. A learner who scores high on this benchmark demonstrates that they have experience in performing predictive analytics and performance tuning of models in operations.

• Predictive Analytics in Marketing and Retail Competency (Intermediate Level)

  24m | 24 questions

  The Predictive Analytics in Marketing and Retail Competency (Intermediate Level) benchmark measures your ability to apply machine learning algorithms and perform predictive analytics to predict sales and customer lifetime value. You will be evaluated on your skills in predicting responses to marketing campaigns and performing market basket analysis. A learner who scores high on this benchmark demonstrates that they have experience in applying predictive analytics in the marketing and retail domain with minimal supervision.

• Predictive Analytics in Cybersecurity Literacy (Beginner Level)

  8m | 8 questions

  The Predictive Analytics in Cybersecurity Literacy (Beginner Level) benchmark measures your knowledge of identifying the need for artificial intelligence (AI) in cybersecurity. You will be evaluated on your ability to recognize the uses and limitations of AI, classification models, and various evaluation metrics used in cybersecurity. A learner who scores high on this benchmark demonstrates that they have an awareness of why and how predictive analytics and AI are used in cybersecurity.

• Predictive Analytics in Marketing and Retail Literacy (Beginner Level)

  7m | 7 questions

  The Predictive Analytics in Marketing and Retail Literacy (Beginner Level) benchmark measures your ability to identify the need for artificial intelligence (AI) and predictive analytics in the marketing and retail sector. You will be evaluated on your skills in recognizing various case studies where one can apply predictive analytics. A learner who scores high on this benchmark demonstrates that they have a good understanding of predictive analytics needs and various use cases in marketing and retail.

Data Architectures

• Prompt Engineering for Git Competency (Intermediate Level)

  20m | 20 questions

  The Prompt Engineering for Git Competency (Intermediate Level) benchmark evaluates your working knowledge of using remote repositories and leveraging generative AI to navigate Git commands. You will be assessed on your ability to use prompt engineering to execute complex techniques like branching, merging, rebasing, and cloning in Git. Learners who score high on this benchmark demonstrate that they have the skills to leverage prompt engineering with generative AI to work with remote repositories and Git branches.

• Prompt Engineering for Data Science Competency (Intermediate Level)

  23m | 23 questions

  The Prompt Engineering for Data Science Competency (Intermediate Level) benchmark measures your recognition of how to effectively leverage generative AI to filter, aggregate, merge, analyze, and visualize data. A learner who scores high on this benchmark demonstrates that they have the competency to leverage prompt engineering and generative AI for data science tasks.

• Maximizing Customer Service with AI Awareness (Entry Level)

  14m | 14 questions

  The Maximizing Customer Service with AI Awareness (Entry Level) benchmark measures your familiarity with artificial intelligence (AI) and some of its most common tools and practices in the customer service domain. You will be evaluated on your knowledge of AI use cases, responsible and ethical AI use, the effect of generative AI on the customer service industry, and practical uses of AI tools in customer service. A learner who scores high on this benchmark demonstrates an entry-level understanding of AI, generative AI (GenAI), and the best practices that go along with both as used in customer service.

• Harnessing AI for Marketing Success Awareness (Entry Level)

  14m | 14 questions

  The Harnessing AI for Marketing Success Awareness (Entry Level) benchmark measures your familiarity with artificial intelligence (AI) and some of its most common tools and practices in the corporate marketing and messaging domain. You will be evaluated on your knowledge of AI use cases, responsible and ethical AI use, the role of AI in marketing, and applying generative AI (GenAI) in marketing scenarios. A learner who scores high on this benchmark demonstrates an entry-level understanding of AI, GenAI, and the best practices that go along with both as used in marketing and communication practices.

• Python Resource Optimization Awareness (Entry Level)

  22m 30s | 15 questions

  The Python Resource Optimization Awareness benchmark will measure your ability to read images from file system into Python source and analyze and process using OpenCV and Faust. You will be evaluated on your ability to recognize fundamental concepts related to computer vision and the basic operations performed on images using OpenCV. A learner who scores high on this benchmark demonstrates that they have the skills to perform basic operations such as add and subtract using two images and to perform stream processing through windowing operations in Faust.

• Generative AI Foundations for IT Literacy (Beginner Level) NEW!

  9m | 9 questions

  The Generative AI Foundations for IT Literacy (Beginner Level) benchmark measures your exposure to artificial intelligence (AI) and some of its most common tools and practices in the information technology (IT) domain. You will be assessed on your knowledge of applying security protocols using generative AI, advanced generative AI techniques, testing generative AI application reliability, supporting SRE operations with AI chatbots, and more. A learner who scores high on this benchmark demonstrates a beginner-level understanding of AI, generative AI, and the best practices associated with both as used in IT.

• Prompt Engineering for Data Science Literacy (Beginner Level)

  20m | 20 questions

  The Prompt Engineering for Data Science Literacy (Beginner Level) benchmark measures your recognition of the basics of pandas DataFrames and Series. You will be evaluated on your knowledge of how to leverage prompts, the capabilities of pandas DataFrame objects, and how generative AI can help you solve your common data manipulation problems. A learner who scores high on this benchmark demonstrates that they have the knowledge required to start leveraging prompt engineering and generative AI for data science.

• Leveraging Google AI APIs Competency (Intermediate Level)

  20m | 20 questions

  The Leveraging Google AI APIs Competency (Intermediate Level) benchmark evaluates your knowledge of utilizing Bard's analytical features and the PaLM 2 API for programmatically accomplishing tasks, including using PaLM models, supported languages, libraries, and communication interfaces. You will be evaluated on your skills in solving code problems with Bard, using the Python client API to integrate PaLM seamlessly, and utilizing advanced features like communication adjustments, response fine-tuning, troubleshooting, security enhancements, and chatbot creation. Learners who score high on this benchmark demonstrate that they have the skills to use Bard's analytical features and can leverage the PaLM API for advanced features and application development.

• Prompt Engineering for Querying SQL Databases Competency (Intermediate Level)

  15m | 15 questions

  The Prompt Engineering for Querying SQL Databases Competency (Intermediate Level) benchmark evaluates your knowledge of and ability to harness the power of generative artificial intelligence (GenAI) tools such as ChatGPT and Bard to filter and group data using SQL. You will be assessed on your ability to use prompt engineering to work with advanced SQL features. Learners scoring high on this benchmark demonstrate that they have the skills to utilize AI tools for filtering and grouping data with SQL and can employ prompt engineering for advanced SQL features.

• Leveraging OpenAI APIs Literacy (Beginner Level)

  10m | 10 questions

  The Leveraging OpenAI APIs Literacy (Beginner Level) benchmark measures your understanding of the OpenAI API and how to generate an API key and work with models and endpoints. You will be assessed on your ability to use the language translation API and identify organizational best practices when using OpenAI to handle scaling, latency, and limits. Learners who score high on this benchmark demonstrate that they have the skills necessary to use OpenAI via its application programming interface (API).

• Leveraging Generative AI APIs Literacy (Beginner Level)

  10m | 10 questions

  The Leveraging Generative AI APIs Literacy (Beginner Level) benchmark evaluates your understanding of the basics of generative AI and the history and future of generative AI. You will be assessed on your ability to recognize the ethical, safety, security, and privacy concerns associated with its use. Learners who score high on this benchmark demonstrate recognition of generative AI functionality and the best practices.

• Prompt Engineering for Python Competency (Intermediate Level)

  14m | 14 questions

  The Prompt Engineering for Python Competency (Intermediate Level) benchmark evaluates your knowledge of creating and using functions in Python, prompting generative AI tools to write functions for you, and working with first class functions and lambdas in Python. You will be assessed on your ability to leverage detailed and relevant prompts for generating code to create classes, instantiate objects, store and visualize data, and execute code using a script. Learners who score high on this benchmark demonstrate that they have the skills to apply prompt engineering to execute Python functions, classes, scripts, and data analysis.

• ML & DL Algorithms Competency (Intermediate Level)

  20m | 10 questions

  The ML & DL Algoritms Competency (Intermediate Level) benchmark assesses your recognition of core ML & DL Algoritms You will be evaluated on your skills in recognizing high-level elements of ML & DL Algoritms. Learners who score high on this benchmark demonstrate that they have a solid understanding of intermediate-level ML & DL Algoritms.

• Deep Learning for Natural Language Processing Proficiency (Advanced Level)

  18m | 18 questions

  The Deep Learning for Natural Language Processing Proficiency (Advanced Level) benchmark measures your working knowledge of deep learning techniques and concepts. You will be evaluated on your ability to work with neural networks, RNNs, memory-based networks, and transfer learning models for developing natural language processing (NLP) applications. Learners who score high on this benchmark demonstrate that they have experience applying deep learning frameworks and techniques used for NLP application development and can work on NLP projects independently without any supervision.

• Natural Language Processing Awareness (Beginner Level)

  10m | 10 questions

  The Natural Language Processing Awareness (Beginner Level) benchmark measures your exposure to natural language processing (NLP) concepts, such as the fundamentals of NLP, text mining, and analytics. Learners who score high on this benchmark demonstrate that they have the foundational knowledge of natural language processing.

• AI for Data Analysts Competency (Intermediate Level)

  20m | 12 questions

  The AI for Data Analysts Competency (Intermediate Level) benchmark evaluates your familiarity with a comprehensive set of prompting techniques used for work and daily life. You will be assessed on your ability to improve the performance of generative AI models using a variety of prompting techniques. You will then be able to apply prompt engineering for various use cases and also use prompt engineers for analyzing data. Learners who score high on this benchmark demonstrate that they have the skills to apply prompt engineering techniques in various use cases.

• Leading Security Teams for GenAI Solutions Competency (Intermediate Level)

  30m | 30 questions

  The Leading Security Teams for GenAI Solutions Competency (Intermediate Level) benchmark measures your knowledge of key concepts used to enhance security posture by monitoring and leveraging new technologies. You will be evaluated on your ability to identify the concepts and steps required to protect and detect intellectual property and recall the concepts and steps required to stay secure when using generative artificial intelligence (GenAI) solutions. A learner who scores highly on this benchmark demonstrates the requisite skills and knowledge in generative AI security and can assist security teams with the integration of generative AI solutions.

• Prompt Engineering for Querying SQL Databases Literacy (Beginner Level)

  10m | 10 questions

  The Prompt Engineering for Querying SQL Databases Literacy (Beginner Level) benchmark evaluates your knowledge of operating MySQL and utilizing the assistance of generative artificial intelligence (GenAI) chatbots like ChatGPT and Bard. You will be assessed on your ability to work with MySQL tables and constraints using GenAI. Learners scoring high on this benchmark demonstrate that they have the skills necessary to leverage prompt engineering to work with tables and constraints in MySQL.

• Generative AI and Prompt Engineering for Ethical Hacking Mastery (Expert Level)

  22m | 22 questions

  The Generative AI and Prompt Engineering for Ethical Hacking Mastery (Expert Level) benchmark measures your thought leader experience in security issues and generative AI tools and practices. A learner who scores high on this benchmark demonstrates mastery in just about every area of ethical hacking and generative AI and is considered a thought and practice leader.

• NLP with Deep Learning Competency (Intermediate Level)

  16m | 16 questions

  The NLP with Deep Learning Competency (Intermediate Level) benchmark measures your ability to identify the structure of neural networks, train a Deep Neural Network (DNN) model, and generate term frequency-inverse document frequency (TF-IDF) encodings for text. You will be evaluated on your ability to train models using pre-trained word vector embeddings, recognize the structure of a recurrent neural network (RNN), and train an RNN for sentiment analysis and with long short-term memory (LSTM). A learner who scores high on this benchmark demonstrates that they have good knowledge and experience in developing NLP applications using deep learning models.

• Generative AI Foundations for IT Proficiency (Advanced Level) NEW!

  10m | 10 questions

  The Generative AI Foundations for IT Proficiency (Advanced Level) benchmark measures your extensive working experience with artificial intelligence (AI) and common tools and practices in the information technology (IT) domain. You will be assessed on your skills in anonymizing sensitive information for AI systems, following ethical guidelines and best practices for developing ethical AI models, reducing potential biases from sensitive features, and more. A learner who scores high on this benchmark demonstrates an advanced-level understanding of AI, generative AI, and the best practices associated with both when used in IT. They can work independently with little or no supervision from a more advanced AI practitioner.

• Python Resource Optimization Literacy (Beginner Level)

  14m | 14 questions

  The Python Resource Optimization Literacy (Beginner Level) benchmark assesses your ability to use OpenCV to read and write images, explore color scale and grayscale images, and perform basic image transformations. You will be evaluated on your ability to differentiate batch and stream processing, recall the components in a stream processing architecture, and install stream processing using a Faust application that reads streaming messages from a Kafka topic. A learner who scores high on this benchmark demonstrates that they have the skills to perform basic operations in OpenCV and Faust for image transformation and stream processing.