AWS Certified AI Practitioner AIF-C01Demo

By Amazon · Question Mode

QuestionQ312

Security, Compliance, and Governance for AI Solutions

A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy policies, the company wants to prevent the model from including personal patient information in its responses. The company also wants to receive notification when policy violations occur.

Which solution meets these requirements?

  • A Use Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.
  • B Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.
  • C Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations.
  • D Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.
Explanation

Guardrails for Amazon Bedrock enforce content policies to filter sensitive information (such as PII) from model outputs before users receive responses. Combined with Amazon CloudWatch alarms configured to trigger on policy violations, this provides both preventive filtering and alerting. Amazon Macie scans data in S3, not model outputs; CloudTrail logs API calls but doesn't filter content; Model Monitor detects data drift, not privacy violations.

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