AI-300 Mlops Infrastructure Practice Question
A training job is consuming too much disk space on a compute cluster. What can you do to provide more persistent scratch space?
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
✓
Mount a Datastore as a mount point
Mounting a Datastore or using Azure Files provides persistent, shared scratch space accessible by the compute cluster.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Mount a Datastore as a mount point
Why this is correct
Mounting a Datastore provides external storage that can be used for large datasets or scratch space.
- ✗
Use a smaller Docker container
Why it's wrong here
Container size does not impact the underlying VM disk allocation.
- ✗
Increase the OS disk size of the VM
Why it's wrong here
This is generally not configurable by the end-user in the ML training job context.
- ✗
Change the experiment name
Why it's wrong here
Experiment names do not affect disk capacity.
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.