Final Exam: Cloud Engineer
DevOps | Intermediate
- 1 Video | 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
implement continuous security monitoring using AWS GuardDutydescribe the key features of Google Kubernetes Engine and how it can be used to set up CloudOps to manage operations that scale and manage workloadlist the factors driving the adoption of DevOps and CloudOps along with the approaches that are used to implement automationlist prominent AWS services that are used to facilitate the configuration management of multiple instances in AWS along with their associated featuresconfigure and manage Amazon EC2 systems with the AWS Systems Managerdemonstrate the exploratory testing and feedback management capabilities of Azure Test Plansrecognize AWS Config features that are used to assess, audit, and evaluate the configuration of AWS resourcesinstall and configure Jenkins to support multi-cloud environments and deploy code to multi-cloud environments using containerizationrecognize 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 standardlist the Azure tools that can be used to implement multi-cloud environment CloudOps and their associated featureslist the major DevOps tools that can be used or adapted for cross-cloud multi-cloud deploymentsdescribe the advantages, disadvantages, and best practices of automation that should be applied for productive IT operationscreate and manage branches using Azure DevOpsrecognize the concept of multi-cloud design along with the essential design patterns for connecting Google Cloud Platform with other cloud platformsset up AWS CodeDeploy to automate the deployment of applicationslist 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 CloudOpsdescribe the concept of Azure Test Plans from the perspective of manual and automated testingrecognize the general workflow of version control and the different types of version control provided by Azure Reposuse AWS Config and Config rules to monitor and enforce compliance for infrastructuresdescribe the evolution of design patterns and list the elements that are used to share feasible solutions for generic problemslist the Google Cloud Platform tools that can be used to implement multi-cloud environment CloudOps and their associated featureslist best practices for operating containers inspired by the Twelve-Factor App methodology and recognize how to build cloud-native applications using the CloudOps methodologyrecognize the IT automation process and potential applications that can be automatedrecall 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 businessdescribe CloudOps characteristics that can be applied to build a cloud management platform for multi-cloud environmentsrecall features of Azure Artifacts and best practices that can be used to manage and share packagesidentify the role of automation in DevOps and the benefits of enabling standardization in DevOps automationbuild GitHub repositories and applications using Azure Pipelines from the command lineset up cloud disaster recovery using Google Cloud Platform and AWSrecall critical DevOps and CloudOps continuous deployment patterns and recognize how to implement continuous deployment pipelines
integrate Azure Active Directory with multiple Amazon Web Services accountsrecall the critical features of AWS CodeDeploy that can help automate software deployments to a variety of AWS compute servicesdefine key processes that need to be followed to implement effective IT automation strategylist Azure tools and technologies that help with implementing end-to-end DevOps and CloudOps practices in each phase of the lifecyclerecognize the process of implementing CI/CD DevOps pipelines that employ multiple cloud environments, including source code, monitoring, and tools that are used in each steplist the design patterns than can be adopted to enable DevOps and CloudOps in the enterpriserecall Azure Boards capabilities that can be used to plan, track, and monitor Sprints following the Agile methodologyuse Terraform to create virtual machine instances on the Google Cloud Platform and build applications on the instanceslist the AWS tools that can be used to implement multi-cloud environment CloudOps and their associated featuresuse the Google Cloud Deployment Manager to automate the configuration of Google Cloud Platform resources to deploy applications on targeted environmentsrecognize how to develop enterprise automation capabilities that can help deliver controlled self-service capabilities for managing IT processes and infrastructurerecall the concept of Infrastructure as Code and the role of AWS CloudFormation in implementing and managing Infrastructure as Codeset up continuous deployment of containerized applications for Azure Kubernetes Service using Azure Pipelinescreate local Git repositories and synchronize them with centralized Git repositories in Azure DevOpsdescribe the features of Google Cloud Source Repository and compare its capabilities with GitHubmanage applications using AWS CodeStar, source repository, a continuous deployment toolchain, and a project dashboarddefine multi-cloud and list the benefits of adopting the multi-cloud strategyrecognize critical DevOps and CloudOps patterns that are prominently used to scale applications using cloud servicesrecognize AWS CodeStar features that can help facilitate developing, building, and deploying applications in AWSdescribe the benefits of cloud automation and common cloud tasks that are a good candidate for automationcreate repositories using the Cloud Source Repository and manage code using the check-in/checkout and merge strategiesrecognize the critical challenges associated with multi-cloud environments and the frameworks that can be used to eliminate these challengesrecognize the challenges associated with multi-cloud disaster recovery setup and patterns that can be used to eliminate those challengesrecall DevOps topologies and tools that are used to set up DevOps architecture to improve value delivery for customers and the businesscreate various test artifacts that include elements like test plan, test suite, test case, test configuration, and parameters for managing backlog itemsrecognize Google Cloud Platform features and why Google Cloud Platform is a secondary cloud providerrecognize effective approaches to automating IT processes using the AWS DevOps Reference Architectureuse Azure Blueprint to create, deploy, and update compliant environmentsdescribe multi-cloud architecture design, which can be used to derive an effective cloud strategy for application management on multi-cloud environmentsrecognize the strategy for implementing and improving DevOps practices and recognize the tools that are used across various development and operations processes in the enterprise
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.
YOU MIGHT ALSO LIKE
COURSE Final Exam: DevOps Developer