AI-300 Mlops Infrastructure Practice Question
What is the purpose of the Azure ML 'Model Registry'?
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
✓
Storing model version history
The Registry manages versioning and metadata of trained models.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Managing network access
Why it's wrong here
Networking is managed via the workspace and VNets.
- ✗
Calculating accuracy metrics
Why it's wrong here
This happens during the training run.
- ✗
Executing training jobs
Why it's wrong here
Jobs run on compute, not in the registry.
- ✓
Storing model version history
Why this is correct
The registry keeps track of models, versions, and lineage.
About these practice questions
Courseiva writes every AI-300 question from scratch — 204 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or 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.