AI-300 Practice Question: Generative AI Quality Assurance And Observability
When using Prompt Flow for GenAI, where should you store your evaluation results to visualize them over time?
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
✓
Azure Machine Learning workspace
Prompt Flow logs evaluation runs to the Azure Machine Learning workspace, where they can be viewed in the Runs tab.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
GitHub repository
Why it's wrong here
Git is for code versioning, not evaluation metrics storage.
- ✗
Azure Blob Storage
Why it's wrong here
While data can be there, the workspace provides the UI-based evaluation dashboard.
- ✓
Azure Machine Learning workspace
Why this is correct
The workspace provides the infrastructure for run tracking and analysis.
- ✗
Local file system
Why it's wrong here
Local storage is not persistent for team collaboration.
About these practice questions
This AI-300 question is part of Courseiva's 204-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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-300 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-300 exam.