AI-200 Event Driven Integration Practice Question
You are designing an AI streaming architecture using Azure Event Hubs in a Dedicated cluster. You need to monitor capacity utilization to ensure the cluster does not exceed its allocated Processing Units (PUs). Which metric should you track in Azure Monitor?
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
✓
Dedicated Cluster Memory and CPU Usage / Processing Units (PUs) Utilization metrics.
Azure Event Hubs Dedicated clusters are measured in Processing Units (PUs). You monitor CPU usage and PU utilization metrics in Azure Monitor to determine if scaling out the dedicated cluster is necessary.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Service Bus Active Message Count.
Why it's wrong here
Service Bus metrics do not track Event Hubs cluster hardware utilization.
- ✗
Event Grid Delivery Success Rate percentage.
Why it's wrong here
Event Grid metrics do not track Event Hubs dedicated cluster capacity.
- ✓
Dedicated Cluster Memory and CPU Usage / Processing Units (PUs) Utilization metrics.
Why this is correct
Cluster-level metrics in Azure Monitor track PU capacity and resource consumption for Dedicated Event Hubs tiers.
- ✗
Storage Account Blob Capacity utilization.
Why it's wrong here
Storage account metrics are unrelated to Event Hubs compute cluster units.
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
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