AIF-C01 Practice Question: Security, Compliance, and Governance for AI Solutions
A data science team is deploying a model using Amazon SageMaker. They need to monitor the model for bias after it is deployed. Which AWS service or feature should they use?
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 Clarify provides bias detection and explainability for ML models, both during training (pre-deployment) and inference (post-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.
- ✗
Amazon Bedrock Guardrails
Why it's wrong here
Guardrails are for content safety in Bedrock, not for bias detection in SageMaker.
- ✓
Amazon SageMaker Clarify
Why this is correct
Clarify detects bias in predictions and provides feature importance for deployed models.
- ✗
Amazon SageMaker Model Monitor
Why it's wrong here
Model Monitor tracks data drift and quality, not bias.
- ✗
AWS CloudTrail
Why it's wrong here
CloudTrail logs API activity, not bias metrics.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AIF-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 AIF-C01 exam.