AWS Certified AI Practitioner AIF-C01 Practice Question
Which Amazon SageMaker feature can run pre-training and post-training analyses to detect bias and generate feature-attribution explanations for a model's predictions?
Amazon SageMaker Clarify is designed specifically to help identify bias in data and model predictions before and after training and to create explainability reports that highlight how each feature influences individual predictions. SageMaker Model Monitor focuses on data and model drift in production, SageMaker Autopilot automates model creation, and Amazon Augmented AI provides human review workflows; none of these combine both bias detection and automated explainability.
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AWS Certified AI Practitioner AIF-C01
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