Which AWS service helps identify bias and explain predictions in machine learning models?

Correct answer: Amazon SageMaker Clarify

Option B is correct because Amazon SageMaker Clarify is the dedicated AWS service for detecting statistical bias in datasets and ML models, and for generating feature attribution explanations using SHAP values, helping teams understand and communicate model predictions. Option A is incorrect because SageMaker Model Registry is used to catalog, version, and manage trained models across their lifecycle, with no built-in bias detection or explainability analysis. Option C is incorrect because SageMaker Feature Store is a managed repository for storing, sharing, and reusing ML features, not for bias detection or model explanation. Option D is incorrect because SageMaker Pipelines is an orchestration service for building and automating end-to-end ML workflows, not specifically for bias or explainability analysis.