MLA-C01 Question 333
Single answerYou are deploying a machine learning model using AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy. Your model requires a custom build environment with specific dependencies and libraries. During deployment, you encounter an error indicating that the build timeout limit was exceeded. What is the best way to resolve this issue?
- A
Increase the build timeout in the AWS CodeBuild project configuration.
- B
Split the build process into smaller stages in AWS CodePipeline.
- C
Request a service quota increase for AWS CodeBuild.
- D
Use AWS CodeDeploy to handle build processes instead of AWS CodeBuild.
Show answer and explanation
Correct answer: A
Explanation
The error indicates that the build timeout in AWS CodeBuild has been exceeded. AWS CodeBuild allows you to specify a build timeout value in the project configuration, up to a maximum of 8 hours. Increasing this timeout is the most appropriate and direct solution to handle longer builds for machine learning models without restructuring your pipeline.
- A. Correct.
Correct. AWS CodeBuild allows you to configure the build timeout value up to the service's maximum timeout limit. Adjusting this setting resolves timeout issues without modifying your pipeline unnecessarily.
- B. Incorrect.
Incorrect. Splitting the build process into smaller stages in AWS CodePipeline might help manage complex pipelines but does not directly address the issue of exceeding the build timeout in AWS CodeBuild.
- C. Incorrect.
Incorrect. Service quotas for AWS CodeBuild refer to limits like concurrent builds or resource allocations, not the build timeout itself. Requesting a quota increase would not resolve this specific issue.
- D. Incorrect.
Incorrect. AWS CodeDeploy is specifically designed for deploying applications, not handling the build process. Build operations should remain in AWS CodeBuild.