AWS Certified AI Practitioner AIF-C01 Practice Question
A company is building a machine learning model in Amazon SageMaker and wants to run both pre-training and post-training bias analysis, as well as generate explainability reports. Which AWS capability should the team use to meet this requirement?
Amazon SageMaker Clarify is designed to detect bias before and after model training and to provide explainability insights such as feature attribution reports. SageMaker Model Monitor tracks data and model drift in production but does not run bias checks before training. Amazon Augmented AI (A2I) creates human review workflows rather than automated bias reports. Guardrails for Amazon Bedrock applies content safety filters to generative AI applications and does not analyze model bias or explainability.
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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