AI-300 Mlops Infrastructure Practice Question
Your team uses a custom Docker image for training. You need to update the image in the Azure Container Registry (ACR). What is the recommended workflow to ensure Azure ML picks up the latest version?
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
✓
Update the image tag and refresh the Environment
Updating the image tag and updating the environment definition in Azure ML forces the system to pull the new version.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Modify the storage account permissions
Why it's wrong here
Storage permissions are unrelated to container image versions.
- ✗
Restart the compute cluster
Why it's wrong here
Restarting does not force a container pull if the tag hasn't changed.
- ✓
Update the image tag and refresh the Environment
Why this is correct
Azure ML environments rely on tags; refreshing the environment definition ensures the latest image is used.
- ✗
Delete and recreate the workspace
Why it's wrong here
This is overly disruptive and unnecessary.
About these practice questions
One of 204 original AI-300 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. 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.