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Domain 3Objective 4

Demonstrate the Ability to Execute AI Workloads at Scale with Kubernetes (Trident) CERTIFIED-AI-EXPERT Practice Questions (Page 7)

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 31–35

  1. 31application · medium

    A machine learning platform runs multiple inference services in a Kubernetes cluster. The operations team wants to monitor resource utilization and set up alerts when CPU usage exceeds 85% for 10 minutes. Which tool should they use to collect and query these metrics?

    Select an answer first
  2. 32foundation · easy

    A PVC for an AI workload remains in the Pending state. What is the most likely cause, and which command would you use to confirm it?

    Select an answer first
  3. 33foundation · easy

    Which Kubernetes component does Trident deploy as a DaemonSet to handle storage operations on each node, such as mounting volumes?

    Select an answer first
  4. 34foundation · easy

    Which open-source tool is commonly used in Kubernetes to collect and query metrics such as CPU and memory usage from AI workload pods?

    Select an answer first
  5. 35foundation · easy

    Before Trident can provision storage for Kubernetes, what must be defined to represent the connection to a NetApp storage system (e.g., ONTAP cluster) with credentials and management endpoints?

    Select an answer first
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