AI-200 Containerized AI Workloads Practice Question
You are setting up auto-scaling for a containerized AI web app in Azure Container Apps. You want to scale based on the number of concurrent HTTP requests. Which scaler do you use?
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 scaler.
The 'http' scaler in KEDA (integrated in ACA) is specifically designed to scale based on HTTP traffic.
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 Service Bus scaler.
Why it's wrong here
This is for queue-based scaling.
- ✓
HTTP scaler.
Why this is correct
The HTTP scaler allows scaling based on request concurrency.
- ✗
CPU usage scaler.
Why it's wrong here
CPU is not always a reliable metric for web traffic load.
- ✗
Memory usage scaler.
Why it's wrong here
Scaling by memory is reactive and often too slow for traffic spikes.
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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.