AI-300 ML Model Lifecycle And Operations Practice Question
You are building an Azure Machine Learning pipeline. You need to ensure that the pipeline components are reusable and versioned independently. What should you use?
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 Components
Azure ML components allow for independent versioning and reusability across different 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.
- ✗
Azure ML Datasets
Why it's wrong here
Datasets manage data assets, not pipeline logic flow.
- ✗
Azure ML Pipelines Steps
Why it's wrong here
Steps are defined within a pipeline and are not independently versioned entities like components.
- ✓
Azure ML Components
Why this is correct
Components are the fundamental units for building reusable and versioned ML pipelines.
- ✗
Azure Container Registry images
Why it's wrong here
ACR images are storage artifacts, not pipeline building blocks.
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.