Which capability is provided by Amazon SageMaker Clarify?

Amazon SageMaker Clarify helps detect potential bias in machine learning models and explain their predictions. It can analyze datasets for bias before training (during data preparation) and after training (on the trained model). This helps ensure fairness and transparency. Incorrect options: Integrating a RAG workflow is typically handled by services like Amazon Kendra or custom solutions, not SageMaker Clarify. Monitoring the quality of ML models in production is a function of Amazon SageMaker Model Monitor, not Clarify. Documenting critical details about ML models is a capability of Amazon SageMaker Model Cards, which provides a centralized repository for model information.