AI-300 ML Model Lifecycle And Operations Practice Question
You are implementing a custom container for model training. You need to push the image to the 'Azure Container Registry' (ACR) linked to your workspace. What is the correct command?
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
✓
'docker build' and 'docker push' to the ACR URL.
The standard approach is 'docker build' followed by 'docker push' to the ACR URL, ensuring authentication via 'az acr login'.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
'docker build' and 'docker push' to the ACR URL.
Why this is correct
Standard Docker workflow for custom images.
- ✗
'az ml environment create --custom'.
Why it's wrong here
This is for registering the environment in Azure ML.
- ✗
'az container create'.
Why it's wrong here
This creates an Azure Container Instance, not an image.
- ✗
'az ml model deploy --image'.
Why it's wrong here
This is for deployment, not building.
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.