AI-200 Security And Observability Practice Question
When monitoring an Azure OpenAI Service deployment using Azure Monitor, which TWO metrics are commonly tracked to evaluate throughput and capacity limits? (Choose two)
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
✓
Active Connections / Request Count
Processed prompts/tokens and generated tokens are key performance and usage metrics tracked for Azure OpenAI deployments.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Active Connections / Request Count
Why this is correct
Correct. Request count and rate metrics show API call volume and concurrency.
- ✗
Azure SQL Database DTU percentage utilization
Why it's wrong here
Incorrect. DTU utilization is for Azure SQL, not Azure OpenAI token metrics.
- ✓
Processed Tokens or Generated Tokens metrics
Why this is correct
Correct. Tracking consumed tokens helps monitor workload volume and proximity to rate limits.
- ✗
Virtual Machine disk IOPS performance counters
Why it's wrong here
Incorrect. Disk IOPS measure storage performance, not AI model token throughput.
- ✗
Azure Backup vault storage consumption
Why it's wrong here
Incorrect. Backup storage tracks recovery point volumes.
About these practice questions
This AI-200 question is part of Courseiva's 503-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam 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.