Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

You are building an Azure AI Foundry prompt flow that answers user questions about your company policies. To reduce hallucinations, you plan to add a model reflection step that lets the same large language model critique its initial answer and, when necessary, return a revised answer. Which implementation satisfies Microsoft's recommended pattern for model reflection while minimizing additional latency and cost?

  • Add a second LLM node that sends the original question plus the draft answer back to the same deployed model, asking it to critique and, if needed, produce an improved answer.

  • Replace the initial LLM node with a larger GPT-4 Turbo model configured with a higher temperature so it can reconsider its answer internally.

  • Route the draft answer to a different, fine-tuned classification model that flags inaccuracies, then trigger a third call to the LLM only when the flag is positive.

  • Insert an Azure AI Content Safety block after the answer to detect hallucinations and automatically regenerate the answer when scores exceed a threshold.

Microsoft Azure AI Engineer Associate AI-102
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