AI-300 Mlops Infrastructure Practice Question
You need to monitor the health of your deployed Azure ML models. Which service is integrated directly with Azure ML to provide automated metrics and logging?
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 Application Insights
Azure Application Insights is the native service for monitoring logs, metrics, and telemetry from deployed model endpoints.
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 Event Grid
Why it's wrong here
Event Grid is for event-driven automation, not performance monitoring.
- ✓
Azure Application Insights
Why this is correct
Application Insights collects telemetry and performance metrics from deployed endpoints.
- ✗
Azure Policy
Why it's wrong here
Policy is for governance, not performance monitoring.
- ✗
Azure Data Factory
Why it's wrong here
Data Factory is for data orchestration, not model performance monitoring.
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.