AI-300 Mlops Infrastructure Practice Question
You are creating a CI/CD pipeline in Azure DevOps. Which extension is essential to integrate Azure ML tasks into your build/release pipeline?
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 extension
The Azure Machine Learning extension provides the necessary tasks to interact with the Azure ML CLI from DevOps 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.
- ✗
Visual Studio Code extension
Why it's wrong here
This is for local development, not server-side CI/CD automation.
- ✗
Terraform extension
Why it's wrong here
Terraform is for infrastructure provisioning, not ML model lifecycle orchestration.
- ✓
Azure Machine Learning extension
Why this is correct
This extension enables native tasks like model registration, training runs, and deployment.
- ✗
Kubernetes extension
Why it's wrong here
While useful for AKS, it does not provide Azure ML-specific model lifecycle tasks.
Visual reference
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.