Final Exam: Cloud Engineer
1 Video | 30m 32s
- Includes Assessment
- Earns a Badge
Final Exam: Cloud Engineer will test your knowledge and application of the topics presented throughout the Cloud Engineer track of the Skillsoft Aspire DevOps Engineer to Cloud Architect Journey.
WHAT YOU WILL LEARN
build GitHub repositories and applications using Azure Pipelines from the command lineconfigure and manage Amazon EC2 systems with the AWS Systems Managercreate and manage branches using Azure DevOpscreate local Git repositories and synchronize them with centralized Git repositories in Azure DevOpscreate repositories using the Cloud Source Repository and manage code using the check-in/checkout and merge strategiescreate various test artifacts that include elements like test plan, test suite, test case, test configuration, and parameters for managing backlog itemsdefine key processes that need to be followed to implement effective IT automation strategydefine multi-cloud and list the benefits of adopting the multi-cloud strategydemonstrate the exploratory testing and feedback management capabilities of Azure Test Plansdescribe CloudOps characteristics that can be applied to build a cloud management platform for multi-cloud environmentsdescribe multi-cloud architecture design, which can be used to derive an effective cloud strategy for application management on multi-cloud environmentsdescribe the advantages, disadvantages, and best practices of automation that should be applied for productive IT operationsdescribe the benefits of cloud automation and common cloud tasks that are a good candidate for automationdescribe the concept of Azure Test Plans from the perspective of manual and automated testingdescribe the evolution of design patterns and list the elements that are used to share feasible solutions for generic problemsdescribe the features of Google Cloud Source Repository and compare its capabilities with GitHubdescribe the key features of Google Kubernetes Engine and how it can be used to set up CloudOps to manage operations that scale and manage workloadidentify the role of automation in DevOps and the benefits of enabling standardization in DevOps automationimplement continuous security monitoring using AWS GuardDutyinstall and configure Jenkins to support multi-cloud environments and deploy code to multi-cloud environments using containerizationintegrate Azure Active Directory with multiple Amazon Web Services accountslist Azure tools and technologies that help with implementing end-to-end DevOps and CloudOps practices in each phase of the lifecyclelist best practices for operating containers inspired by the Twelve-Factor App methodology and recognize how to build cloud-native applications using the CloudOps methodologylist prominent AWS services that are used to facilitate the configuration management of multiple instances in AWS along with their associated featureslist the AWS tools that can be used to implement multi-cloud environment CloudOps and their associated featureslist the Azure tools that can be used to implement multi-cloud environment CloudOps and their associated featureslist the design patterns than can be adopted to enable DevOps and CloudOps in the enterpriselist the factors driving the adoption of DevOps and CloudOps along with the approaches that are used to implement automationlist the features and benefits of AWS Stack that compliment AWS DevOps and CloudOps adoption, as well as critical automation patterns of implementing AWS DevOps and CloudOpslist the Google Cloud Platform tools that can be used to implement multi-cloud environment CloudOps and their associated features
list the major DevOps tools that can be used or adapted for cross-cloud multi-cloud deploymentsmanage applications using AWS CodeStar, source repository, a continuous deployment toolchain, and a project dashboardrecall Azure Boards capabilities that can be used to plan, track, and monitor Sprints following the Agile methodologyrecall critical DevOps and CloudOps continuous deployment patterns and recognize how to implement continuous deployment pipelinesrecall DevOps topologies and tools that are used to set up DevOps architecture to improve value delivery for customers and the businessrecall features of Azure Artifacts and best practices that can be used to manage and share packagesrecall the challenges associated with DevOps and CloudOps and describe the correct approach of using AWS to implement DevOps and CloudOps in the enterprise to realize a positive impact on businessrecall the concept of Infrastructure as Code and the role of AWS CloudFormation in implementing and managing Infrastructure as Coderecall the critical features of AWS CodeDeploy that can help automate software deployments to a variety of AWS compute servicesrecognize AWS CodeStar features that can help facilitate developing, building, and deploying applications in AWSrecognize AWS Config features that are used to assess, audit, and evaluate the configuration of AWS resourcesrecognize critical DevOps and CloudOps patterns that are prominently used to scale applications using cloud servicesrecognize effective approaches to automating IT processes using the AWS DevOps Reference Architecturerecognize Google Cloud Platform features and why Google Cloud Platform is a secondary cloud providerrecognize how to develop enterprise automation capabilities that can help deliver controlled self-service capabilities for managing IT processes and infrastructurerecognize the challenges associated with multi-cloud disaster recovery setup and patterns that can be used to eliminate those challengesrecognize the concept of multi-cloud design along with the essential design patterns for connecting Google Cloud Platform with other cloud platformsrecognize the critical challenges associated with multi-cloud environments and the frameworks that can be used to eliminate these challengesrecognize the general workflow of version control and the different types of version control provided by Azure Reposrecognize the IT automation process and potential applications that can be automatedrecognize the objectives of the Topology and Orchestration Specification for Cloud Application and methodical frameworks that can be used for DevOps artifact transformation with the TOSCA standardrecognize the process of implementing CI/CD DevOps pipelines that employ multiple cloud environments, including source code, monitoring, and tools that are used in each steprecognize the strategy for implementing and improving DevOps practices and recognize the tools that are used across various development and operations processes in the enterpriseset up AWS CodeDeploy to automate the deployment of applicationsset up cloud disaster recovery using Google Cloud Platform and AWSset up continuous deployment of containerized applications for Azure Kubernetes Service using Azure Pipelinesuse AWS Config and Config rules to monitor and enforce compliance for infrastructuresuse Azure Blueprint to create, deploy, and update compliant environmentsuse Terraform to create virtual machine instances on the Google Cloud Platform and build applications on the instancesuse the Google Cloud Deployment Manager to automate the configuration of Google Cloud Platform resources to deploy applications on targeted environments
IN THIS COURSE
1.Cloud Engineer33sUP NEXT
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platformDigital badges are yours to keep, forever.