AI-200 Security And Observability Practice Question
You are troubleshooting intermittent HTTP 429 (Too Many Requests) errors from an Azure OpenAI deployment. Which metric in Azure Monitor should you inspect to confirm whether token rate limits are being exceeded?
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
✓
Normalized Token Utilization
Normalized Token Utilization measures the percentage of token limits consumed against your provisioned or pay-as-you-go capacity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
System Assigned Managed Identity Success Rate
Why it's wrong here
This metric tracks authentication successes, not rate-limiting or throughput capacity.
- ✗
Virtual Network Gateway Packet Drops
Why it's wrong here
This metric relates to network routing gateways, not Azure OpenAI API rate limits.
- ✗
Data Ingestion Volume (GB)
Why it's wrong here
Data Ingestion Volume measures Log Analytics storage usage, not AI model inference throughput.
- ✓
Normalized Token Utilization
Why this is correct
Normalized Token Utilization tracks rate limit usage and shows when deployment token caps are reached, resulting in 429 errors.
About these practice questions
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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.