AI-300 Practice Question: Generative AI Quality Assurance And Observability
You are deploying a GenAI app to production and want to track the 'Token Usage' and 'Latency' metrics per user session. Which service should you integrate with your application?
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
Application Insights is the standard observability tool for Azure, enabling custom event tracking for tokens and latency.
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 Application Insights
Why this is correct
Application Insights allows custom tracking of request duration and metadata.
- ✗
Azure Container Registry
Why it's wrong here
Registry is for image storage.
- ✗
Azure Key Vault
Why it's wrong here
Key Vault is for secret management.
- ✗
Azure Policy
Why it's wrong here
Policy is for governance, not application telemetry.
- ✗
Azure AI Search
Why it's wrong here
Azure AI Search is for retrieval, not telemetry aggregation.
About these practice questions
One of 204 original AI-300 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. 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.