Question 1: AI-500: Designing and Implementing Multi-Agent AI Solutions

HOTSPOT - You have a Microsoft Foundry multi-agent solution. The solution includes an orchestrator that uses Azure AI Search as a semantic cache to shortlist agents and invokes the top match. You have a version-controlled repository that contains a curated dataset, expected routing, and expected responses. A pull request adds an agent named Agent1, new sample utterances, and a changed selector prompt. You need to configure an automated prerelease evaluation gate for the pull request. The solution must meet the following requirements:Validate the integrated system response after the new agent is available to orchestration. Validate the semantic-cache retrieval quality against the expected results. Keep regression tests aligned with the pull request changes. How should you configure the evaluation gate? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

1. A. Lựa chọn A bằng hình ảnh — đáp án hiện tại