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MLA-C01 Practice Question: A machine learning engineer is building an ML…
A machine learning engineer is building an ML pipeline using Amazon SageMaker. The engineer needs to prepare the data, detect bias in the dataset, and then create features for training. Which TWO AWS services or features should the engineer use? (Choose TWO.)
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
✓
Amazon SageMaker Clarify
Amazon SageMaker Data Wrangler is the visual data preparation tool that also integrates with Clarify for bias detection. SageMaker Clarify provides bias detection and explainability. Together they cover data preparation and bias detection in the same workflow.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Glue DataBrew
Why it's wrong here
DataBrew is another visual data preparation tool, but it does not natively integrate with Clarify for bias detection.
- ✗
Amazon SageMaker Model Monitor
Why it's wrong here
Model Monitor detects drift in deployed models, not bias in training data.
- ✓
Amazon SageMaker Clarify
Why this is correct
Clarify is used for bias detection and model explainability, and can be invoked from Data Wrangler.
- ✓
Amazon SageMaker Data Wrangler
Why this is correct
Data Wrangler provides visual data preparation and includes built-in bias detection integration with Clarify.
- ✗
Amazon SageMaker Feature Store
Why it's wrong here
Feature Store is for storing and managing features, not for bias detection.
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JA
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.