AI-300 Mlops Infrastructure Practice Question
Which component in an Azure ML pipeline definition is responsible for specifying the runtime environment, including Python packages and Conda dependencies?
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
✓
Environment
The Environment object defines the software stack, including dependencies and Docker images, needed for a job.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Compute Target
Why it's wrong here
The compute target defines the hardware, not the software environment.
- ✗
Datastore
Why it's wrong here
Datastores manage connection info for storage, not software runtimes.
- ✗
Component
Why it's wrong here
A component is a reusable piece of logic, not the runtime software container.
- ✓
Environment
Why this is correct
The Environment defines the software configuration, packages, and Docker image for the execution.
About these practice questions
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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.