Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are testing a retrieval-augmented generation (RAG) prompt flow in Azure AI Foundry. During offline evaluation you want a numeric score that tells you, for each answer, how well the response is supported by the specific source passages that were returned by the retriever. Which built-in evaluation metric should you add to the evaluation configuration?
The Groundedness evaluator compares the content of the model's answer with the text in the retrieved passages and scores how well the answer is supported (grounded) by those sources. This metric is designed specifically for RAG scenarios. The other listed evaluators measure different aspects: Fluency rates overall language quality, Toxicity detects harmful content, and Embedding similarity measures semantic closeness between two texts but does not check factual support from sources.
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