MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
A company uses SageMaker Model Registry to manage model versions. They want to automate the approval of models that pass automated evaluation, but require manual approval for others. Which Model Registry feature supports this workflow?
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
✓
Approval workflow via pipeline Condition step
Model Registry supports approval statuses (PendingManualApproval, Approved, Rejected). Automated evaluation can set status to Approved, while borderline cases can be set to PendingManualApproval.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Approval workflow via pipeline Condition step
Why this is correct
A pipeline Condition step can set the model status to Approved or PendingManualApproval based on metrics.
- ✗
Cross-account deployment
Why it's wrong here
Cross-account deployment is for sharing models across accounts, not approval workflows.
- ✗
Model versioning
Why it's wrong here
Versioning tracks versions but does not automate approval.
- ✗
Model lineage
Why it's wrong here
Lineage tracks provenance but not approval state.
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