Q10 — AWS AIF-C01 Ch.3

Question 10 of 100 | ← Chapter 3

A data scientist needs to monitor real-time unfair predictions from a model based on sensitive attributes such as race, gender, and age. The model is deployed on Amazon SageMaker. Which AWS service or feature satisfies this requirement?

• A. SageMaker Model Monitor
• B. SageMaker Clarify ✓
• C. SageMaker Ground Truth
• D. SageMaker Data Wrangler

Correct Answer: B. SageMaker Clarify

Explanation

SageMaker Clarify provides built-in bias detection and explainability capabilities—including fairness metrics (e.g., disparate impact, conditional demographic disparity) computed across sensitive attributes—for deployed models in real time, directly satisfying the requirement to understand and mitigate unfair predictions.