AI-300 Mlops Infrastructure Practice Question
You need to orchestrate a series of ML steps (Data prep, Training, Evaluation). Which Azure ML feature is specifically designed for this?
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 ML Pipelines
Azure ML Pipelines allow you to string together components into a workflow.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Notebooks
Why it's wrong here
Notebooks are for interactive work, not automated orchestration.
- ✓
Azure ML Pipelines
Why this is correct
Pipelines are the standard for chaining ML tasks.
- ✗
Batch endpoints
Why it's wrong here
Batch endpoints are for inference, not workflow orchestration.
- ✗
AutoML
Why it's wrong here
AutoML is for model search, not general workflow orchestration.
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.