AI-103 Implement Generative AI And Agentic Solutions Practice Question
In Azure AI Foundry, which tool would you use to measure the quality of your RAG application against a golden dataset?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Evaluation
Evaluation in Azure AI Foundry uses metrics to assess RAG pipelines.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Evaluation
Why this is correct
Evaluation measures performance metrics.
- ✗
Model Catalog
Why it's wrong here
Catalog is for browsing.
- ✗
Deployment
Why it's wrong here
Deployment serves the model.
- ✗
Prompt Flow Tracing
Why it's wrong here
Tracing is for runtime observation.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-103 exam.