Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

Your team builds several prompt flows in a hub-based Azure AI Foundry project. You need the shared system and user messages plus a few-shot example set to be defined only once, parameterized with variables such as {{product_name}}, and versioned so that any change is automatically picked up by every flow that uses it. Which implementation approach should you take?

  • Hard-code the prompt string in the application layer that calls the Foundry endpoint.

  • Store the prompt in a plain text file under your app's configuration folder and load it at runtime.

  • Create a prompt template (.prompty) asset in the project and reference it from each flow.

  • Embed the prompt text in a custom LLM node inside every prompt flow.

Microsoft Azure AI Engineer Associate AI-102
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