AIF-C01 Practice Question 16: Prompt Versioning

AWS Certified AI Practitioner (AIF-C01) · Test 2 · question 6 of 10

Applications of Foundation Modelseasy

Prompts for a company's generative AI features are hard-coded as strings in several applications. When someone edits a prompt, nobody can tell which wording is live, compare it with the earlier one, or quickly go back to a version that worked. Which Amazon Bedrock capability addresses this most directly?

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Answer:

B. Amazon Bedrock Prompt Management, to store reusable prompts with variables, compare variants, and save versions

Amazon Bedrock Prompt Management lets you create, save, and reuse prompts, with variables as placeholders filled in at runtime. You can test variants side by side and save versions as you iterate. Applications then reference a specific prompt version instead of a hard-coded string. That gives the team one place to see what's live, compare changes, and roll back (option B).

- A is wrong because Guardrails filters harmful or off-limits content in inputs and outputs. It doesn't store or version the application's own prompts. - C is wrong because Knowledge Bases provides retrieval-augmented generation over your documents. Using it as a prompt store gives you no variants, versions, or variables. - D is wrong because fine-tuning changes model behavior with training data. It isn't a way to track and roll back prompt text, and every change would need a new training job.

Reference: Construct and store reusable prompts with Prompt management in Amazon Bedrock

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