A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements. Which solution will…

Question

Options

• AConfigure the security and compliance by using Amazon Inspector.
• BGenerate simple metrics, reports, and examples by using Amazon SageMaker Clarify.
• CEncrypt and secure training data by using Amazon Macie.
• DGather more data. Use Amazon Rekognition to add custom labels to the data.

• A
  12% (4)
• B
  79% (26)
• C
  6% (2)
• D
  3% (1)

Explanation

Amazon SageMaker Clarify provides transparency and explainability for machine learning models by generating metrics, reports, and examples that help to understand model predictions. For a medical company that needs a foundation model to be transparent and explainable to meet regulatory requirements, SageMaker Clarify is the most suitable solution. It helps in identifying potential bias in the data and model, and also explains model behavior by generating feature attributions, providing insights into which features are most influential in the model's predictions. These capabilities are critical in medical applications where regulatory compliance often mandates transparency and explainability to ensure that decisions made by the model can be trusted and audited.

No community discussion yet for this question.