MLA-C01 exam dumps

MLA-C01 practice question 332 of 458

AWS Certified Machine Learning Engineer - Associate. Associate level, Amazon Web Services. Free question with the correct answer and a full explanation.

MLA-C01 Question 332

Select 2

You are working as a Machine Learning Engineer at a company that uses AWS services to automate the deployment of machine learning models. You want to set up a CI/CD pipeline for model deployment using AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy. During pipeline creation, you encounter an error indicating that you have exceeded a service quota. Which of the following steps can you take to resolve this issue?

  1. A

    Request a service quota increase for the relevant AWS service through the AWS Service Quotas console.

  2. B

    Check the AWS CodePipeline, CodeBuild, and CodeDeploy service quotas to ensure you are within the allowed limits for concurrent pipelines or builds.

  3. C

    Create additional AWS accounts to distribute the workloads across accounts and avoid hitting service quotas.

  4. D

    Use AWS CloudFormation to automatically increase service quotas for CodePipeline, CodeBuild, and CodeDeploy.

  5. E

    Ensure that your IAM role has the necessary permissions to request a quota increase.

Show answer and explanation

Correct answers: A, B

Explanation

AWS services such as CodePipeline, CodeBuild, and CodeDeploy have specific quotas, such as the number of concurrent pipelines or builds allowed. When you encounter a quota-related error, the best practice is to first review the service quotas and then request an increase if necessary. Creating additional accounts or using CloudFormation is not a viable or recommended approach for resolving this issue.

  • A. Correct.

    Correct: If you exceed a service quota, you can request a quota increase through the AWS Service Quotas console. AWS allows you to manually request increases for adjustable quotas.

  • B. Correct.

    Correct: Before requesting a quota increase, it is important to review the quotas for the relevant services, such as maximum concurrent pipelines or builds, to identify the exact limitation.

  • C. Incorrect.

    Incorrect: Creating additional AWS accounts to bypass service quotas is not a recommended solution and could introduce significant operational complexity.

  • D. Incorrect.

    Incorrect: AWS CloudFormation cannot be used to modify service quotas. Service quotas must be increased manually through the AWS Service Quotas console or API.

  • E. Incorrect.

    Incorrect: While having appropriate IAM permissions is important, simply ensuring permissions does not resolve a quota issue; you must request a quota increase.

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