AI-200 Security And Observability Practice Question
An Azure Machine Learning model is deployed to a Kubernetes cluster. Users report intermittent 503 errors. You suspect the underlying compute nodes are overloaded. Where should you look first to correlate these errors with infrastructure health?
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
✓
Container Insights in Azure Monitor.
Container Insights (part of Azure Monitor) provides integrated monitoring for AKS, allowing you to correlate pod restarts and node resource exhaustion with application errors.
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 Key Vault audit logs.
Why it's wrong here
Key Vault logs are for security access, not infrastructure performance.
- ✗
Log Analytics Workspace 'AppRequests' table.
Why it's wrong here
This will show the 503 errors but will not explain the infrastructure cause.
- ✓
Container Insights in Azure Monitor.
Why this is correct
Container Insights provides the necessary metrics to identify node-level resource contention in AKS.
- ✗
Azure Machine Learning studio 'Endpoints' monitoring tab.
Why it's wrong here
This shows high-level endpoint health but lacks deep infrastructure diagnostics.
About these practice questions
Courseiva writes every AI-200 question from scratch — 503 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 →
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.