Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 67 discussion

C. Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations.: Guardrails for Amazon Bedrock are designed to enforce compliance and mitigate the risk of inappropriate or sensitive data being generated by foundation models. Guardrails can filter content to prevent sensitive information from being included in model outputs. Amazon CloudWatch alarms can then be configured to notify the company of potential policy violations, making it a comprehensive solution for ensuring privacy and compliance.

C: Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations. Explanation: Guardrails for Amazon Bedrock allow you to enforce policies that filter out sensitive or inappropriate content, such as personal patient information, from the model's responses. By configuring these guardrails, you ensure that the model adheres to privacy policies. Additionally, you can set up Amazon CloudWatch alarms to receive notifications when policy violations occur, providing real-time monitoring and alerting.

C. Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations. Reasoning: Requirement: The company wants to ensure that the disease detection model does not include personal patient information in its responses. This requires a mechanism to filter sensitive information from the model's outputs. They also need a notification system for policy violations. Solution: Guardrails for Amazon Bedrock provide built-in content moderation and filtering mechanisms to enforce compliance with policies, such as removing personal information from model outputs. Amazon CloudWatch Alarms can be used to monitor events or logs (such as detected policy violations) and send notifications when violations occur.

if the answer A was slightly different.. A. Use Amazon Macie to scan the model's DATA for sensitive data and set up alerts for potential violations. instead of A. Use Amazon Macie to scan the model's OUTPUT for sensitive data and set up alerts for potential violations. as Macie cannot scan the output.. but the data in S3, so A is incorrect.. so C, even if, personal information should always be removed, no point of train on it.

Guardrails to prevent, CloudWatch to notify