AI-200 Containerized AI Workloads Practice Question
You are managing an Azure Kubernetes Service (AKS) cluster that runs high-throughput AI model training jobs using NVIDIA Tensor Core GPUs. Pods frequently fail to schedule because of insufficient GPU memory across existing nodes. You need to ensure the cluster automatically provisions new GPU-enabled worker nodes when resource demands increase. What 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
✓
Enable the Kubernetes Cluster Autoscaler on a node pool containing GPU virtual machine sizes.
To automatically add GPU-backed nodes when workloads are pending due to resource constraints, you must configure the Kubernetes Cluster Autoscaler with a dedicated node pool that uses GPU virtual machine sizes (e.g., Standard_NC6s_v3).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure KEDA (Kubernetes Event-driven Autoscaling) with a Prometheus scaler.
Why it's wrong here
KEDA scales pods based on event sources, not cluster node infrastructure capacity.
- ✗
Configure the Horizontal Pod Autoscaler (HPA) with custom GPU metrics.
Why it's wrong here
HPA scales the number of pod replicas based on metrics like CPU or memory, but it does not provision new underlying infrastructure nodes.
- ✓
Enable the Kubernetes Cluster Autoscaler on a node pool containing GPU virtual machine sizes.
Why this is correct
The Cluster Autoscaler monitors for unschedulable pods and adds instances to the specified GPU node pool.
- ✗
Deploy the Azure Container Storage operator with GPU caching enabled.
Why it's wrong here
Azure Container Storage manages persistent volumes, not node provisioning or compute capacity scaling.
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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.