Exam AIP-C01 Topic 2 Question 70 Discussion

Actual exam question for Amazon's AIP-C01 exam
Question #: 70
Topic #: 2

A university is building an AI-powered application that includes several sub-applications. The sub- applications include AI assistants, assignment graders, and internal analytics applications. The university is defining and testing multiple prompts by using various foundation models (FMs). The university wants to compare variants of each prompt and choose the variant that yield outputs that are best-suited for specified use cases. The university requires a version control solution for the prompts. The university must be able to test prompt variations and collect audit trails for prompt changes and usage. The solution must also maintain consistency while allowing the prompts to integrate into the main application. Which combination of solutions will meet these requirements with the LEAST operational overhead? (Select TWO.)

A. Use Amazon Bedrock Prompt Management to create versioned prompts. Include parameterized variables for each use case. B. Store prompts in Amazon S3. Use AWS Step Functions to orchestrate the model interactions and service integrations. C. Use Amazon Bedrock Flows to create workflows that combine FMs and AWS services. D. Configure AWS Config to record prompt changes. Use AWS CloudTrail to track prompt usage. E. Configure Amazon Bedrock intelligent prompt routing.

Suggested Answer: A,C Vote an answer

Amazon Bedrock Prompt Management is the purpose-built service for prompt lifecycle management. it provides native version control , allowing developers to test and compare variants side-by-side. Use of parameterized variables ensures that a single prompt structure can be consistently reused across different sub-applications (assistants vs. graders) while still being tailored to the specific context. To " integrate into the main application " with minimal overhead, Amazon Bedrock Flows provide a managed orchestration layer.
Flows allow developers to link managed prompts with AWS services (like knowledge bases or Lambda functions) without writing complex state-machine logic in Step Functions (Option B). This combination ensures consistent, auditable, and easily deployable prompt assets across the university ' s diverse use cases.

by Edwina at Jul 24, 2026, 04:28 AM

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