AI-200 Security And Observability Practice Question
An enterprise application calls multiple Azure AI Language services. You need to trace requests across multiple distributed microservices to diagnose high latency issues. Which Azure Monitor capability should you implement?
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 Distributed Tracing
Distributed tracing in Application Insights tracks requests across multiple service boundaries using W3C Trace Context headers.
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 Distributed Tracing
Why this is correct
Distributed tracing tracks end-to-end request flows and pinpoints latency bottlenecks across components.
- ✗
Azure Advisor cost recommendations
Why it's wrong here
Azure Advisor provides cost optimization suggestions, not runtime performance tracing.
- ✗
Log Analytics metric alerts without instrumentation
Why it's wrong here
Metric alerts notify on threshold breaches but do not trace distributed call flows.
- ✗
Azure Network Watcher Connection Monitor
Why it's wrong here
Network Watcher monitors layer 3/4 network connectivity, not application-level AI API latencies.
About these practice questions
One of 507 original AI-200 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-200 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-200 exam.