Evaluating Models and Flows Quiz

5 questions • Pass: 70% • +25 pts

Quiz covering Building with Microsoft Foundry

Evaluating Models and Flows Quiz

5 questions | Pass: 70% | Earn 25 points

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

  1. 1

    Which tool within Azure AI Foundry is primarily used to evaluate the quality of a prompt flow by comparing model outputs against a ground truth dataset?

  2. 2

    When evaluating a RAG (Retrieval-Augmented Generation) application in Azure AI Foundry, which metric specifically measures how well the generated answer is supported by the retrieved context?

  3. 3

    You are building a flow that summarizes long documents. Which approach is considered best practice for evaluating the flow's performance effectively?

  4. 4

    What is the primary benefit of using 'AI-assisted' evaluators in Azure AI Foundry compared to traditional deterministic metrics like BLEU or ROUGE?

  5. 5

    In a complex multi-step flow, you notice the 'Groundedness' score is low, but the 'Relevance' score is high. What is the most likely structural issue in your application?