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AIP-C01 · Question #61

A financial services company is deploying a generative AI (GenAI) application that uses Amazon Bedrock to assist customer service representatives to provide personalized investment advice to…

The correct answer is A. Configure Amazon Bedrock guardrails to apply custom content filters and toxicity detection. Use. The requirements span hallucination detection, safety controls for customer interactions, real-time model behavior drift monitoring, audit trails, a 60-day deployment timeline, compliance dashboard integration, and sub-200ms latency. Amazon Bedrock Guardrails is the native AWS…

Deployment, Operations, and Optimization

Question

A financial services company is deploying a generative AI (GenAI) application that uses Amazon Bedrock to assist customer service representatives to provide personalized investment advice to customers. The company must implement a comprehensive governance solution that follows responsible AI practices and meets regulatory requirements. The solution must detect and prevent hallucinations in recommendations. The solution must have safety controls for customer interactions. The solution must also monitor model behavior drift in real time and maintain audit trails of all prompt-response pairs for regulatory review. The company must deploy the solution within 60 days. The solution must integrate with the company's existing compliance dashboard and respond to customers within 200 ms. Which solution will meet these requirements with the LEAST operational overhead?

Options

  • AConfigure Amazon Bedrock guardrails to apply custom content filters and toxicity detection. Use
  • BDeploy Amazon Bedrock and use AWS PrivateLink to access the application securely. Use AWS
  • CUse Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases to ground responses. Use
  • DUse Amazon SageMaker Model Monitor to detect model behavior drift. Use AWS WAF to filter

How the community answered

(23 responses)
  • A
    57% (13)
  • B
    4% (1)
  • C
    13% (3)
  • D
    26% (6)

Explanation

The requirements span hallucination detection, safety controls for customer interactions, real-time model behavior drift monitoring, audit trails, a 60-day deployment timeline, compliance dashboard integration, and sub-200ms latency. Amazon Bedrock Guardrails is the native AWS solution that provides content filtering, toxicity detection, grounding checks (to detect hallucinations against knowledge bases), and denied topic controls-all configurable without custom ML work, enabling rapid deployment well within 60 days. Combined with CloudWatch for real-time monitoring and CloudTrail for audit trails of prompt-response pairs, this option meets all requirements with the least custom development. Option C (Bedrock Agents + Knowledge Bases) helps with grounding but lacks the full guardrails and compliance audit capability described. Option D (SageMaker Model Monitor + WAF) is not suited for Bedrock-hosted model drift monitoring. Option B addresses networking security but not the governance and hallucination-detection requirements.

Topics

#Generative AI Governance#Amazon Bedrock Guardrails#Model Monitoring#Audit Trails

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