PRODUCTION SCENARIO
A lending team must tell a declined applicant which input features most affected the model's prediction for that application.
Which Amazon SageMaker capability will meet this requirement?
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Answer: SageMaker Clarify feature attributions
Clarify uses a model-agnostic feature attribution approach based on Shapley values to explain why a model made a prediction, including a per-instance explanation for one application. Model Monitor data quality jobs compare incoming data against a baseline to detect drift. Data Wrangler prepares and transforms features before training. Debugger reports on the training process, not on how one prediction was reached.