SKILL BENCHMARK
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
Topics covered
- configure and create an AWS CloudTrail trail and use Amazon SNS (Simple Notification Service) to send messages
- configure AWS Auto Scaling using the AWS Management Console and create a scaling plan
- configure AWS System Manager to view and control your infrastructure on AWS
- configure AWS X-Ray service and use a sample Java application to test it
- create a basic configuration for CloudFront to distribute objects
- create a dashboard in AWS CloudWatch and use the dashboard to add and manage graphs
- create an Application Load Balancer using the AWS Management Console
- describe the features and capability of AWS CloudWatch, such as the use of dashboards and metrics
- identify how to resolve cloud-related issues using troubleshooting methodology
- list the features and components of AWS Application Auto Scaling
- name methods for troubleshooting common issues with AWS storage services
- outline how to resolve connectivity issues such as routing and firewall problems
- outline how to resolve network security group misconfigurations such as ACL and inheritance problems to troubleshoot connectivity issues
- outline how to troubleshoot common performance issues by reviewing the configuration of load balancers
- outline methods for optimizing storage for Amazon S3, Amazon EC2, and Amazon Elastic File System (EFS)
- outline the Amazon services available for monitoring and troubleshooting AWS services and systems
- outline the benefits, functionality, and terminology related to AWS Security Hub
- outline the main characteristics of Amazon Managed Service for Prometheus (AMP) and how it is used to monitor containers
- perform auto scaling using Aurora Auto Scaling to dynamically adjust the number of Aurora Replicas provisioned for an Aurora DB cluster
- recall how to troubleshoot common performance issues by reviewing the utilization of resources such as CPU, memory, storage, I/O, and the network
- recognize how to resolve connectivity issues such as DNS records, VLANs, proxies, MTU, QoS, and time synchronization problems
- state how to use network troubleshooting tools such as ARP, cURL, packet captures, packet analyzers, the OpenSSL client, and netstat to troubleshoot network issues
- summarize the features and components of Amazon Inspector
- troubleshoot security issues due to data security issues such as unencrypted data, data breaches, misclassification, lack of encryption in protocols, and insecure ciphers
- troubleshoot security issues due to expired, revoked, compromised, or misconfigured keys and certificates
- troubleshoot security issues due to exposed endpoints
- troubleshoot security issues due to internal or external cyberattacks
- troubleshoot security issues due to misconfigured or misapplied policies
- troubleshoot security issues due to missing or incomplete privileges
- troubleshoot security issues due to unsupported protocols
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