AI-200 Containerized AI Workloads Practice Question
You need to deploy a real-time object detection model inside an Azure Container App. The application requires immediate scale-out when the queue length of incoming image processing requests exceeds a threshold. Which scaling rule type should you configure?
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
✓
Azure Queue Storage / Service Bus KEDA scaling rule
Azure Container Apps supports KEDA scalers, including the Azure Service Bus, Azure Queue Storage, and Redis scalers for event-driven scaling.
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 Queue Storage / Service Bus KEDA scaling rule
Why this is correct
KEDA queue-based scaling rules inspect the backing message queue length to scale pods up or down accordingly.
- ✗
Memory utilization scaling rule
Why it's wrong here
Memory scaling is unreliable for AI inference workloads as memory footprints remain largely static regardless of load.
- ✗
CPU utilization scaling rule
Why it's wrong here
CPU scaling reacts after CPU is saturated, which is often too slow for queue-backed bursty event workloads.
- ✗
HTTP concurrency scaling rule
Why it's wrong here
HTTP scaling scales based on concurrent requests, which does not directly track asynchronous background queue depths.
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.