MLA-C01 Question 329
Single answerYou are building a CI/CD pipeline for your machine learning application using AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy. During the deployment phase, you notice that one of your pipelines is failing because of a large number of concurrent pipeline executions. What should you do to resolve this issue?
- A
Increase the maximum number of concurrent pipeline executions in AWS CodePipeline by contacting AWS Support.
- B
Split your pipeline into smaller, independent pipelines to reduce the number of concurrent executions.
- C
Use AWS CodeBuild to handle the higher number of concurrent executions since it supports unlimited parallel builds.
- D
Throttle the rate of pipeline executions by introducing a manual approval action in AWS CodePipeline.
Show answer and explanation
Correct answer: A
Explanation
AWS CodePipeline has a default limit on the number of concurrent pipeline executions. If you encounter failures due to this limit, you can resolve it by requesting an increase in the quota from AWS Support. This approach directly addresses the problem without requiring changes to the pipeline structure or introducing unnecessary steps.
- A. Correct.
This is the correct answer. AWS CodePipeline has a default service quota for concurrent pipeline executions, but this can be increased by submitting a request to AWS Support.
- B. Incorrect.
While splitting pipelines might reduce complexity, it does not directly address the issue of concurrent pipeline execution limits in AWS CodePipeline.
- C. Incorrect.
AWS CodeBuild supports unlimited parallel builds, but this does not solve the issue of concurrent execution limits in AWS CodePipeline.
- D. Incorrect.
Introducing a manual approval action can throttle execution rates, but it does not address the root cause of the issue and could slow down the CI/CD process unnecessarily.