Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

You have created a retrieval-augmented generation (RAG) prompt flow in Azure AI Studio. Before deploying the flow, you run an automatic evaluation run from the Evaluate pane and enable all built-in metrics. You want to determine whether the model is hallucinating or inventing facts that are not found in the documents returned by the retriever. Which metric should you focus on, and what does a consistently low score for that metric most likely indicate?

  • Semantic similarity - the answer's wording differs from a predefined reference answer.

  • Fluency - the answer contains spelling or grammatical mistakes.

  • Relevance - the answer does not correspond to the intent of the user question.

  • Groundedness - the answer contains content that is not supported by the retrieved passages.

Microsoft Azure AI Engineer Associate AI-102
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