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MLA-C01 Practice Question: Building a CI/CD pipeline for ML models using AWS…
A company is building a CI/CD pipeline for ML models using AWS CodePipeline and SageMaker. The pipeline should include steps to automatically retrain, evaluate, and deploy models. Which THREE components are essential for this pipeline? (Choose three.)
⚠ Common exam trap
A common mix-up: candidates confuse monitoring services like CloudWatch with essential pipeline components, or assume that a serverless function like Lambda is required for evaluation when SageMaker Pipelines already provides native evaluation capabilities.
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
✓
SageMaker Pipelines to orchestrate training and evaluation steps.
SageMaker Pipelines is essential because it provides a native orchestration service to define, automate, and manage the end-to-end ML workflow, including training, evaluation, and conditional deployment steps. It integrates directly with other SageMaker components and CodePipeline, enabling a seamless CI/CD pipeline without requiring custom orchestration logic.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
SageMaker Pipelines to orchestrate training and evaluation steps.
Why this is correct
Pipelines define the sequence of steps and conditional logic for retraining and evaluation.
- ✓
Amazon S3 bucket to store training data and model artifacts.
Why this is correct
S3 provides durable storage for inputs and outputs of the pipeline.
- ✗
Amazon CloudWatch to log API calls.
Why it's wrong here
CloudWatch is useful for monitoring but not essential for the pipeline logic.
- ✓
SageMaker Model Registry to store and version models.
Why this is correct
Model Registry enables tracking, approval, and deployment of model versions.
- ✗
AWS Lambda function to trigger evaluation.
Why it's wrong here
Lambda is not essential; the pipeline can use built-in evaluation steps.
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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.