AI-300 Practice Question: Generative AI Quality Assurance And Observability

Which THREE tools in Azure can be used to monitor the health and performance of your GenAI infrastructure?

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 Log Analytics

Application Insights, Log Analytics, and Azure Monitor are core observability tools.

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 Front Door
Why it's wrong here
Networking tool.
✓
Azure Log Analytics
Why this is correct
Standard for log aggregation.
✓
Azure Application Insights
Why this is correct
Standard for app telemetry.
✓
Azure Monitor
Why this is correct
Standard for infrastructure health.
✗
Azure Active Directory
Why it's wrong here
Identity tool.

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 →

How Courseiva writes practice questions · Editorial policy

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

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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.