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Free AWS-CERTIFIED-DEVOPS-ENGINEER-PROFESSIONAL-DOP-C02 – Amazon AWS-CERTIFIED-DEVOPS-ENGINEER-PROFESSIONAL-DOP-C02 Practice Test Question

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Showing 13–15 of 43 questions

Question 13 (Topic 1)

A company is using AWS Organizations to create separate AWS accounts for each of its departments. The company needs to automate the following tasks: • Update the Linux AMIs with new patches periodically and generate a golden image • Install a new version of Chef agents in the golden image, if available • Provide the newly generated AMIs to the department's accounts Which solution meets these requirements with the LEAST management overhead?

Select an option, then click Submit answer.

  • ○ Write a script to launch an Amazon EC2 instance from the previous golden image. Apply the patch updates. Install the new version of the Chef agent, generate a new golden image, and then modify the AMI permissions to share only the new image with the department's accounts.
  • ○ Use Amazon EC2 Image Builder to create an image pipeline that consists of the base Linux AMI and components to install the Chef agent. Use AWS Resource Access Manager to share EC2 Image Builder images with the department's accounts.
  • ○ Use an AWS Systems Manager Automation runbook to update the Linux AMI by using the previous image. Provide the URL for the script that will update the Chef agent. Use AWS Organizations to replace the previous golden image in the department's accounts.
  • ○ Use Amazon EC2 Image Builder to create an image pipeline that consists of the base Linux AMI and components to install the Chef agent. Create a parameter in AWS Systems Manager Parameter Store to store the new AMI ID that can be referenced by the department's accounts.
Question 14 (Topic 1)

A company has a single developer writing code for an automated deployment pipeline. The developer is storing source code in an Amazon S3 bucket for each project. The company wants to add more developers to the team but is concerned about code conflicts and lost work. The company also wants to build a test environment to deploy newer versions of code for testing and allow developers to automatically deploy to both environments when code is changed in the repository. What is the MOST efficient way to meet these requirements?

Select an option, then click Submit answer.

  • ○ Create an AWS CodeCommit repository for each project, use the main branch for production code, and create a testing branch for code deployed to testing. Use feature branches to develop new features and pull requests to merge code to testing and main branches.
  • ○ Create another S3 bucket for each project for testing code, and use an AWS Lambda function to promote code changes between testing and production buckets. Enable versioning on all buckets to prevent code conflicts.
  • ○ Create an AWS CodeCommit repository for each project, and use the main branch for production and test code with different deployment pipelines for each environment. Use feature branches to develop new features.
  • ○ Enable versioning and branching on each S3 bucket, use the main branch for production code, and create a testing branch for code deployed to testing. Have developers use each branch for developing in each environment.
Question 15 (Topic 1)

A company deploys a web application on Amazon EC2 instances that are behind an Application Load Balancer (ALB). The company stores the application code in an AWS CodeCommit repository. When code is merged to the main branch, an AWS Lambda function invokes an AWS CodeBuild project. The CodeBuild project packages the code, stores the packaged code in AWS CodeArtifact, and invokes AWS Systems Manager Run Command to deploy the packaged code to the EC2 instances. Previous deployments have resulted in defects, EC2 instances that are not running the latest version of the packaged code, and inconsistencies between instances. Which combination of actions should a DevOps engineer take to implement a more reliable deployment solution? (Choose two.)

Select an option, then click Submit answer.

  • ○ Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider. Configure pipeline stages that run the CodeBuild project in parallel to build and test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.
  • ○ Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider. Create separate pipeline stages that run a CodeBuild project to build and then test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.
  • ○ Create an AWS CodeDeploy application and a deployment group to deploy the packaged code to the EC2 instances. Configure the ALB for the deployment group.
  • ○ Create individual Lambda functions that use AWS CodeDeploy instead of Systems Manager to run build, test, and deploy actions.
  • ○ Create an Amazon S3 bucket. Modify the CodeBuild project to store the packages in the S3 bucket instead of in CodeArtifact. Use deploy actions in CodeDeploy to deploy the artifact to the EC2 instances.