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Deployment and Orchestration of ML WorkflowsmediumMultiple ChoiceObjective-mapped

MLA-C01 Deployment and Orchestration of ML Workflows Practice Question

A financial services company needs to enforce that only approved model versions are deployed to production. They use SageMaker Model Registry to track versions, with an approval workflow. Which action must they take in the model registry to ensure only approved models can be deployed?

⚠ Common exam trap

Many candidates confuse tagging (a flexible but non-enforceable mechanism) with the Model Registry's built-in approval status, which is specifically designed to enforce deployment gates in SageMaker.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Set the model version status to 'Approved' in the Model Registry

The SageMaker Model Registry uses a status field to control the lifecycle of model versions. By setting the model version status to 'Approved', the company can enforce that only approved models are deployable, as SageMaker's deployment APIs (e.g., CreateModel, CreateEndpointConfig) can be configured to require an 'Approved' status. This integrates with the approval workflow, ensuring that unapproved or pending versions are blocked from production deployment.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Set the model version status to 'Approved' in the Model Registry

    Why this is correct

    Only model versions with Approved status can be deployed via SageMaker endpoints.

  • Tag the model version as 'production-ready'

    Why it's wrong here

    Tags do not enforce deployment restrictions.

  • Manually move the model artifact to a production S3 bucket

    Why it's wrong here

    This bypasses the registry and does not enforce approval.

  • Use AWS IAM policies to restrict deployment to specific model ARNs

    Why it's wrong here

    While IAM can restrict, it does not integrate with the approval workflow.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This MLA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLA-C01 exam.