Final Exam: Cloud Engineer

WHAT YOU WILL LEARN

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  Implement continuous security monitoring using aws guardduty
  

  describe the key features of google kubernetes engine and how it can be used to set up cloudops to manage operations that scale and manage workload
  

  list the factors driving the adoption of devops and cloudops along with the approaches that are used to implement automation
  

  list prominent aws services that are used to facilitate the configuration management of multiple instances in aws along with their associated features
  

  configure and manage amazon ec2 systems with the aws systems manager
  

  demonstrate the exploratory testing and feedback management capabilities of azure test plans
  

  recognize aws config features that are used to assess, audit, and evaluate the configuration of aws resources
  

  install and configure jenkins to support multi-cloud environments and deploy code to multi-cloud environments using containerization
  

  recognize 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 standard
  

  list the azure 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 deployments
  

  describe the advantages, disadvantages, and best practices of automation that should be applied for productive it operations
  

  create and manage branches using azure devops
  

  recognize the concept of multi-cloud design along with the essential design patterns for connecting google cloud platform with other cloud platforms
  

  set up aws codedeploy to automate the deployment of applications
  

  list 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 cloudops
  

  describe the concept of azure test plans from the perspective of manual and automated testing
  

  recognize the general workflow of version control and the different types of version control provided by azure repos
  

  use aws config and config rules to monitor and enforce compliance for infrastructures
  

  describe the evolution of design patterns and list the elements that are used to share feasible solutions for generic problems
  

  list the google cloud platform tools that can be used to implement multi-cloud environment cloudops and their associated features
  

  list best practices for operating containers inspired by the twelve-factor app methodology and recognize how to build cloud-native applications using the cloudops methodology
  

  recognize the it automation process and potential applications that can be automated
  

  recall 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 business
  

  describe cloudops characteristics that can be applied to build a cloud management platform for multi-cloud environments
  

  recall features of azure artifacts and best practices that can be used to manage and share packages
  

  identify the role of automation in devops and the benefits of enabling standardization in devops automation
  

  build github repositories and applications using azure pipelines from the command line
  

  set up cloud disaster recovery using google cloud platform and aws
  

  recall critical devops and cloudops continuous deployment patterns and recognize how to implement continuous deployment pipelines
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  integrate azure active directory with multiple amazon web services accounts
  

  recall the critical features of aws codedeploy that can help automate software deployments to a variety of aws compute services
  

  define key processes that need to be followed to implement effective it automation strategy
  

  list azure tools and technologies that help with implementing end-to-end devops and cloudops practices in each phase of the lifecycle
  

  recognize the process of implementing ci/cd devops pipelines that employ multiple cloud environments, including source code, monitoring, and tools that are used in each step
  

  list the design patterns than can be adopted to enable devops and cloudops in the enterprise
  

  recall azure boards capabilities that can be used to plan, track, and monitor sprints following the agile methodology
  

  use terraform to create virtual machine instances on the google cloud platform and build applications on the instances
  

  list the aws tools that can be used to implement multi-cloud environment cloudops and their associated features
  

  use the google cloud deployment manager to automate the configuration of google cloud platform resources to deploy applications on targeted environments
  

  recognize how to develop enterprise automation capabilities that can help deliver controlled self-service capabilities for managing it processes and infrastructure
  

  recall the concept of infrastructure as code and the role of aws cloudformation in implementing and managing infrastructure as code
  

  set up continuous deployment of containerized applications for azure kubernetes service using azure pipelines
  

  create local git repositories and synchronize them with centralized git repositories in azure devops
  

  describe the features of google cloud source repository and compare its capabilities with github
  

  manage applications using aws codestar, source repository, a continuous deployment toolchain, and a project dashboard
  

  define multi-cloud and list the benefits of adopting the multi-cloud strategy
  

  recognize critical devops and cloudops patterns that are prominently used to scale applications using cloud services
  

  recognize aws codestar features that can help facilitate developing, building, and deploying applications in aws
  

  describe the benefits of cloud automation and common cloud tasks that are a good candidate for automation
  

  create repositories using the cloud source repository and manage code using the check-in/checkout and merge strategies
  

  recognize the critical challenges associated with multi-cloud environments and the frameworks that can be used to eliminate these challenges
  

  recognize the challenges associated with multi-cloud disaster recovery setup and patterns that can be used to eliminate those challenges
  

  recall devops topologies and tools that are used to set up devops architecture to improve value delivery for customers and the business
  

  create various test artifacts that include elements like test plan, test suite, test case, test configuration, and parameters for managing backlog items
  

  recognize google cloud platform features and why google cloud platform is a secondary cloud provider
  

  recognize effective approaches to automating it processes using the aws devops reference architecture
  

  use azure blueprint to create, deploy, and update compliant environments
  

  describe multi-cloud architecture design, which can be used to derive an effective cloud strategy for application management on multi-cloud environments
  

  recognize the strategy for implementing and improving devops practices and recognize the tools that are used across various development and operations processes in the enterprise