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MLA-C01 Practice Question: A machine learning team is building a CI/CD…
A machine learning team is building a CI/CD pipeline to train and deploy models using Amazon SageMaker. They want to ensure that the deployment step only proceeds if the model evaluation metrics exceed a certain threshold. Which THREE components should the team include in the pipeline? (Choose THREE.)
⚠ Common exam trap
AWS often tests the misconception that manual approval via Lambda is required for gating deployments, but the correct approach uses SageMaker Model Registry's built-in approval mechanism combined with a condition step in the pipeline.
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
✓
The SageMaker Model Registry to approve and store the model after evaluation.
The SageMaker Model Registry is the central component for approving and storing model versions after evaluation. It enables governance by allowing you to set approval statuses (e.g., Approved, Rejected) and track model lineage, ensuring only validated models proceed to 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.
- ✗
An AWS Lambda function for manual approval.
Why it's wrong here
Manual approval is not required; the condition can be automated.
- ✗
An AWS CodeBuild project to compile the model artifacts.
Why it's wrong here
CodeBuild is not necessary; SageMaker handles training.
- ✓
The SageMaker Model Registry to approve and store the model after evaluation.
Why this is correct
Model Registry can store model versions and track approval status.
- ✓
A SageMaker endpoint deployment step that runs only after approval.
Why this is correct
Deployment step is required to create or update the endpoint.
- ✓
A condition step that checks if the evaluation metric exceeds the threshold.
Why this is correct
The condition step gates the deployment based on metric values.
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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.