AI-200 Containerized AI Workloads Practice Question
You are scaling an AI workload in Azure Container Apps. Which TWO scale rule triggers are natively supported without custom KEDA extensions?
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
✓
HTTP concurrent requests
Azure Container Apps natively supports scaling based on HTTP requests, CPU, memory, and Azure Service Bus without manual KEDA manifest configuration.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
HTTP concurrent requests
Why this is correct
HTTP scaling scales based on simultaneous web requests.
- ✗
Azure Virtual Machine disk I/O throughput
Why it's wrong here
Disk I/O is not a direct native scale rule trigger in Container Apps.
- ✗
Active directory login failure rate
Why it's wrong here
Auth failure rates are not a native container app scale metric.
- ✗
Custom hardware temperature sensors
Why it's wrong here
Hardware thermal sensors are not supported as container app scale triggers.
- ✓
CPU and Memory utilization thresholds
Why this is correct
CPU and memory utilization are native autoscaling metrics.
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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.