AI-300 Mlops Infrastructure Practice Question
You are experiencing latency issues with a model deployed on a Managed Online Endpoint. What is the first thing you should check?
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
✓
Application Insights logs
Reviewing logs in Application Insights identifies performance bottlenecks and latency issues.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Application Insights logs
Why this is correct
Logs provide granular detail on request processing times and potential bottlenecks.
- ✗
The Azure ML workspace name
Why it's wrong here
The workspace name has no performance impact.
- ✗
The subscription limit
Why it's wrong here
Limits stop creation, they don't usually cause latency in existing deployments.
- ✗
The storage account size
Why it's wrong here
Storage size does not typically cause inference latency.
About these practice questions
This AI-300 question is part of Courseiva's 204-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam 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.