AIF-C01 Guidelines for Responsible AI Practice Question
An e-commerce company uses a recommendation system built with Amazon Personalize. They want to explain to customers why certain products are recommended. Which AWS service can provide model explanations?
⚠ Common exam trap
Many candidates confuse AWS services focused on logging or security (like CloudTrail or Detective) with those designed for ML explainability, overlooking that SageMaker Clarify is the dedicated service for model interpretability in the AWS ecosystem.
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 is the correct choice because it provides model explainability features, including feature importance and SHAP-based explanations, which can be used to interpret why Amazon Personalize recommends specific products. This aligns with the requirement to explain recommendations to customers, as SageMaker Clarify integrates with Personalize to generate human-readable explanations for model predictions.
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 Config
Why it's wrong here
Config monitors resource configuration.
- ✗
AWS CloudTrail
Why it's wrong here
CloudTrail records API activity.
- ✗
Amazon Detective
Why it's wrong here
Detective analyzes security data.
- ✓
Amazon SageMaker Clarify
Why this is correct
Clarify provides explainability for ML models.
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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.