A financial company must audit a loan approval model for bias before deployment. They specifically need to measure whether a demographic group receives loan denials at a disproportionately higher rate compared to the overall population. Which SageMaker service and capability should they use?

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B. SageMaker Clarify — measures pre-training and post-training bias metrics such as Disparate Impact. SageMaker Clarify computes pre-training and post-training bias metrics. Disparate Impact (DI) measures whether a demographic group receives a favorable outcome at a lower rate than the reference group. Clarify can analyze both the training data and the trained model before deployment.

A financial company must audit a loan approval model for bias before deployment. They specifically need to measure whether a demographic group receives loan denials at a disproportionately higher rate compared to the overall population. Which SageMaker service and capability should they use?

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