Exam AWS Certified Machine Learning - Specialty topic 1 question 259 discussion

SageMaker Clarify can do the work

The model is trained already, so C. I imagine using a debugger in production is nuts

The solution that will meet these requirements with the least development effort is C. Using SageMaker Clarify to generate the explanation report, and attaching the report to the predicted results . This solution allows the financial services company to use SageMaker Clarify, a feature that provides machine learning (ML) model transparency and explainability, to generate the explanation report for each loan approval prediction. SageMaker Clarify can provide feature importance scores, which indicate how much each feature contributes to the prediction, and SHAP values, which measure how each feature affects the prediction compared to the average prediction . The company can use these metrics to generate and attach the explanation report that contains the reason for why the customer was approved or denied for a loan.

C, SageMaker Clarify can give explanation Why.

Sagemaker Clarity is better option