Amazon Web Services AWS Certified AI Practitioner AIF-C01 Question # 37 Topic 4 Discussion
AIF-C01 Exam Topic 4 Question 37 Discussion:
Question #: 37
Topic #: 4
A company is developing an ML model to make loan approvals. The company must implement a solution to detect bias in the model. The company must also be able to explain the model's predictions.
Amazon SageMaker Clarify provides built-in tools to detect bias in data and models, and to generate detailed explainability reports for model predictions, including SHAP values and feature importance.
A is correct:
“Amazon SageMaker Clarify provides bias detection, explainability for ML models, and comprehensive reports to satisfy regulatory and ethical requirements.”
(Reference: Amazon SageMaker Clarify Overview)
B (Data Wrangler) is for data preparation, not bias/explainability.
C (Model Cards) document models, but don’t detect bias or explain predictions.
D (AI Service Cards) provide transparency for AWS AI services, not custom model explainability.
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