Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

In an Azure AI Foundry prompt flow that streams technical summaries of internal design docs using a single ChatGPT-4-turbo node, you must add a model-reflection step to flag hallucinations before the response returns. Which configuration will best cut hallucinations without adding noticeable latency?

  • Insert a second ChatGPT-4-turbo node with temperature set to 0 that critiques the draft summary for factual errors and either approves it or returns a list of corrections.

  • Replace the reflection step with a second pass that re-generates the entire summary using GPT-4o in a separate deployment.

  • Increase the temperature of the existing generation node to 1.2 to encourage diverse answers, then stream the output.

  • Disable streaming on the generation node and wait for the full response before invoking any reflection logic.

Microsoft Azure AI Engineer Associate AI-102
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