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Microsoft

DP-100 · Question #570

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…

The correct answer is B. No. No, a standard .json file does not meet the goal. Azure AI Foundry's model evaluation feature requires evaluation data to be in JSONL (JSON Lines) format - a .jsonl file where each line is a self-contained, valid JSON object representing one evaluation record (e.g., a question…

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Question

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result these questions will not appear on the review screen. You have an Azure AI Foundry project. You develop a RAG solution. You must evaluate the solution. You need to provide a properly formatted file that contains data for the evaluation. Solution: Use a file in the .json format. Does the solution meet the goal?

Options

  • AYes
  • BNo

How the community answered

(40 responses)
  • A
    30% (12)
  • B
    70% (28)

Explanation

No, a standard .json file does not meet the goal. Azure AI Foundry's model evaluation feature requires evaluation data to be in JSONL (JSON Lines) format - a .jsonl file where each line is a self-contained, valid JSON object representing one evaluation record (e.g., a question, ground truth answer, and context for RAG). A standard .json file contains a single JSON structure (like an array or object) and is not the accepted format for the evaluation pipeline. Using .json instead of .jsonl will cause the evaluation to fail or be rejected as improperly formatted.

Topics

#RAG evaluation#Azure AI Studio#Data formats#Evaluation datasets

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