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

Questions 16–20

1. 16application · medium

   A company has a multi-environment CI/CD pipeline. The pipeline must deploy to a development environment, then require manual approval before deploying to production. The developer is using AWS CodePipeline. How should the pipeline be configured to meet this requirement?

   • AAdd a deploy stage for development and a separate deploy stage for production, with an approval action between them.
   • BConfigure the production deploy stage to only run on a specific Git tag, and skip the approval step.
   • CUse a single deploy stage that deploys to both development and production simultaneously.
   • DUse AWS CodeDeploy with a deployment group that includes both development and production instances.
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2. 17application · medium

   A developer is building a Lambda function that uses a machine learning library with many native dependencies. The function must be deployed through CodePipeline, and the team wants to minimize deployment time and avoid dependency installation issues during the build. Which packaging approach should the developer use?

   • APackage the function code and dependencies into a ZIP file and upload it to Amazon S3 as the pipeline source.
   • BCreate a container image from a base image that includes the native libraries and push it to Amazon ECR for the pipeline to deploy.
   • CUse the Lambda console's inline code editor to paste the function code and all library source files directly.
   • DUpload a ZIP file containing only the function code and rely on Lambda layers to provide the machine learning library at runtime.
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4. 18application · medium

   A company runs a REST API on API Gateway with a Lambda backend. The team wants to use the same API deployment for both development and production environments, but the Lambda function must read from different DynamoDB tables in each environment. The developer wants to avoid changing the function code between environments. What should the developer do?

   • AConfigure the Lambda function's environment variables directly and update them manually whenever the API is deployed to a different stage.
   • BUse a stage variable in API Gateway to pass the DynamoDB table name to the Lambda function and reference it in the function code.
   • CCreate two separate API Gateway APIs, one for dev and one for prod, and deploy each with its own Lambda function.
   • DHardcode the DynamoDB table name in the Lambda function and create a new version of the function for each environment.
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5. 19expert · hard

   A company has an API Gateway REST API with multiple stages (dev, test, prod). They want to use a single custom domain name 'api.example.com' for all stages, with paths like 'api.example.com/dev' and 'api.example.com/prod'. The SSL/TLS certificate is already uploaded to AWS Certificate Manager (ACM). What is the most efficient way to configure this in API Gateway?

   • ACreate one custom domain name and add multiple base path mappings, one for each stage.
   • BCreate a separate custom domain name for each stage and attach the same certificate to each.
   • CUse a single base path mapping with a wildcard path to route all traffic to the prod stage.
   • DConfigure the custom domain to use path parameters in the API Gateway integration.
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6. 20foundation · easy

   What happens when you update a CloudFormation stack by submitting a modified template?

   • ACloudFormation changes only the resources that are different from the current stack
   • BCloudFormation deletes all resources and recreates them from scratch
   • CCloudFormation requires you to manually delete and recreate the stack
   • DCloudFormation creates a new stack and deletes the old one
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