A Kubernetes cluster has GPU nodes that are reserved for a specific AI team. Other teams should not be able to schedule pods on these nodes. What should you configure?

Create a separate namespace for the AI team.

Use a resource quota on the GPU nodes.

Add a nodeSelector to the GPU nodes.

Add a taint to the GPU nodes and a toleration to the AI team's pods.

Which Kubernetes mechanism ensures that a GPU-accelerated AI pod is scheduled only on nodes that have the required GPU resources?

Node affinity rules combined with resource requests for the GPU

A financial services company runs a critical AI model training workload on Kubernetes with Trident-backed storage. They need to ensure that the training data is protected against accidental deletion and can be restored to a specific point in time. They also need to minimize storage overhead. Which approach should they use?

Use Trident's snapshot feature to create periodic snapshots of the PVC.

Enable synchronous replication to a second cluster.

Create a full backup of the PVC to an external object store daily.

Use a PVC with a retention policy that prevents deletion.

Which Kubernetes command is used to view the logs of a specific pod to troubleshoot an AI training job?

kubectl exec -- cat /var/log/app.log

When a data scientist creates a PersistentVolumeClaim (PVC) that references a Trident-backed StorageClass, what happens automatically?

The PVC is bound to a pre-existing PersistentVolume that matches the requested size.

Trident dynamically provisions a new persistent volume from the NetApp backend and binds it to the PVC.

The PVC remains pending until an administrator manually creates a PersistentVolume.

The Kubernetes scheduler manually creates a PersistentVolume and attaches it to a node.

NetAppCertified AI Expert

Domain 3Objective 4

Demonstrate the Ability to Execute AI Workloads at Scale with Kubernetes (Trident) CERTIFIED-AI-EXPERT Practice Questions (Page 1)

Part of the AI Software Architectures domain, which accounts for 18% of the CERTIFIED-AI-EXPERT exam. NetApp does not publish an official question count, but from its 90-minute exam (~35–60 total, ~6–11 in this domain), expect 1–2 from this objective — we provide 36 practice questions to prepare you well beyond it. (estimate)

36questions here

8free pages

9concepts

18%of the exam

Questions 1–5

1application · medium
A Kubernetes cluster has GPU nodes that are reserved for a specific AI team. Other teams should not be able to schedule pods on these nodes. What should you configure?
Select an answer first
2foundation · easy
Which Kubernetes mechanism ensures that a GPU-accelerated AI pod is scheduled only on nodes that have the required GPU resources?
Select an answer first
3expert · hard
A financial services company runs a critical AI model training workload on Kubernetes with Trident-backed storage. They need to ensure that the training data is protected against accidental deletion and can be restored to a specific point in time. They also need to minimize storage overhead. Which approach should they use?
Select an answer first
4foundation · easy
Which Kubernetes command is used to view the logs of a specific pod to troubleshoot an AI training job?
Select an answer first
5foundation · easy
When a data scientist creates a PersistentVolumeClaim (PVC) that references a Trident-backed StorageClass, what happens automatically?
Select an answer first

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