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AIP-C01 · Question #25

AIP-C01 Question #25: Real Exam Question with Answer & Explanation

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Deployment, Operations, and Optimization

Question

A company is building a multicloud generative AI (GenAI)-powered secret resolution application that uses Amazon Bedrock and Agent Squad. The application resolves secrets from multiple sources, including key stores and hardware security modules (HSMs). The application uses AWS Lambda functions to retrieve secrets from the sources. The application uses AWS AppConfig to implement dynamic feature gating. The application supports secret chaining and detects secret drift. The application handles short-lived and expiring secrets. The application also supports prompt flows for templated instructions. The application uses AWS Step Functions to orchestrate agents to resolve the secrets and to manage secret validation and drift detection. The company finds multiple issues during application testing. The application does not refresh expired secrets in time for agents to use. The application sends alerts for secret drift, but agents still use stale data. Prompt flows within the application reuse outdated templates, which cause cascading failures. The company must resolve the performance issues. Which solution will meet this requirement?

Options

  • AUse Step Functions Map states to run agent workflows in parallel. Pass updated secret metadata
  • BUse Amazon Bedrock Agents only. Configure Amazon Bedrock guardrails to restrict prompt
  • CUse a centralized Amazon EventBridge pipeline to invoke each agent. Store intermediate prompts
  • DUse Amazon EventBridge Pipes to invoke resolvers based on Amazon CloudWatch log patterns.

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Topics

#Generative AI Applications#AWS Step Functions#Workflow Orchestration#Performance Optimization
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