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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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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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