Task 4: Deploy Code by Using AWS Continuous Integration and Continuous Delivery (CI/CD) Services DVA-C02 Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A development team uses AWS CodeCommit as their Git repository. They want to automatically build and test their application whenever a developer pushes code to the 'main' branch, and then deploy to a staging environment if the build succeeds. Which AWS service should be used to orchestrate this workflow?

   • AAWS CodeBuild alone, configured with a webhook to trigger on pushes to the 'main' branch.
   • BAWS CodePipeline with a source stage from CodeCommit, a build stage using CodeBuild, and a deploy stage to staging.
   • CAWS Elastic Beanstalk with a CodeCommit trigger to deploy directly to the staging environment.
   • DAWS CodeDeploy alone, configured to watch the CodeCommit repository for changes.
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2. 7foundation · easy

   What is a common use case for API Gateway stage variables?

   • ATo define the API's request/response models
   • BTo store sensitive data like API keys
   • CTo configure different backend endpoints for different environments (e.g., dev vs. prod)
   • DTo control the API's throttling limits
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4. 8application · medium

   A team uses Git for source control and AWS CodePipeline for CI/CD. They want to create a release process where only code that has been tagged with a version (e.g., 'v1.0.0') is deployed to production. How should the pipeline be configured to achieve this?

   • AConfigure the source stage to use the 'main' branch and add a filter that only triggers the pipeline on tag creation.
   • BConfigure the pipeline to run on every push and use a stage to filter out non-tagged commits.
   • CUse a Lambda function in the pipeline to check the commit message for a version string.
   • DCreate a separate branch for each release and manually start the pipeline for that branch.
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5. 9application · medium

   A team deployed a new version of a Lambda function using AWS CodeDeploy with a canary deployment strategy. After 10% of traffic was shifted to the new version, monitoring detected a significant increase in error rates. The team wants to revert to the previous version immediately. What is the most direct way to accomplish this?

   • AWait for CodeDeploy to detect the failure and roll back automatically.
   • BDelete the new version of the Lambda function from the console.
   • CUse the Lambda console to change the function's alias to point 100% of traffic back to the previous version.
   • DRedeploy the previous version of the Lambda function using CodeDeploy with an all-at-once strategy.
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6. 10application · medium

   A company uses AWS Elastic Beanstalk to run a web application. They have separate environments for development, testing, and production. The developer needs to deploy a new version to the test environment first, verify it, and then promote the same version to production. What is the most efficient way to manage this using Elastic Beanstalk?

   • ACreate a new application version in Elastic Beanstalk, deploy it to the test environment, and then deploy the same version label to the production environment.
   • BUpload the application code separately to each environment's S3 bucket and deploy independently.
   • CUse AWS CodeDeploy to deploy the application to both environments simultaneously.
   • DClone the test environment to create the production environment, then deploy the new version.
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