試験AI-300 トピック1 問題3 スレッド
Microsoft AI-300のリアル試験問題集
問題 #: 3
トピック #: 1
問題 #: 3
トピック #: 1
A team is working in Microsoft Foundry to test and compare large language model (LLM) prompt variants in a development environment.
The team requires consistent inputs to evaluate prompt variants without relying on live user traffic.
You need to create a controlled evaluation of input data.
Which action should you perform first?
The team requires consistent inputs to evaluate prompt variants without relying on live user traffic.
You need to create a controlled evaluation of input data.
Which action should you perform first?
おすすめの解答：A 解答を投票する
In Microsoft Foundry, you can test and compare LLM prompt variants using Prompt Flow. This environment allows you to create a controlled development workflow with consistent inputs, bypassing the need for live user traffic.
1. Generate Synthetic Interaction Data
Generating synthetic data is the recommended first step to build a robust, diverse test dataset without manual effort.
2. Compare Prompt Variants
Once your synthetic dataset is ready, use Prompt Flow to iterate on your prompts.
3. Controlled Evaluation
To measure performance objectively, run automated Eval Runs.
Reference:
https://learn.microsoft.com/en-us/azure/foundry-classic/concepts/prompt-flow
1. Generate Synthetic Interaction Data
Generating synthetic data is the recommended first step to build a robust, diverse test dataset without manual effort.
2. Compare Prompt Variants
Once your synthetic dataset is ready, use Prompt Flow to iterate on your prompts.
3. Controlled Evaluation
To measure performance objectively, run automated Eval Runs.
Reference:
https://learn.microsoft.com/en-us/azure/foundry-classic/concepts/prompt-flow
岩本** 2026-06-27 02:34:01
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