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Free PDF 2026 Nutanix Professional NCP-AI: Nutanix Certified Professional - Artificial Intelligence v6.10 Test Questions Pdf

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Nutanix NCP-AI Exam Syllabus Topics:

Topic
Details

Topic 1

Configure a Nutanix Enterprise AI Environment: This domain focuses on operational setup including onboarding users, importing large language models, creating and securing API endpoints with keys, and delivering these endpoints to consumers.

Topic 2

Troubleshoot a Nutanix Enterprise AI Environment: This domain covers diagnosing and resolving performance issues, resource utilization problems, cluster health check failures, and model import or endpoint creation errors.

Topic 3

Connect Applications to a Nutanix Enterprise AI Environment: This domain focuses on configuring and validating application connections to endpoints and monitoring endpoint metrics to track application usage and integration performance.

Topic 4

Perform Day 2 Operations: This domain addresses ongoing management including preparing application integration requirements, interpreting and optimizing performance metrics, monitoring access for anomalies, and selecting appropriate LLMs for optimal output.

Topic 5

Deploy a Nutanix Enterprise AI Environment: This domain covers initial deployment tasks including validating prerequisites, installing Enterprise AI components, and configuring DNS, URLs, and certificates for secure platform operation.

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q17-Q22):

NEW QUESTION # 17
Which task is an AI/ML User unable to perform in Nutanix Enterprise AI?

A. Create an API key to access an AI inference endpoint.
B. Test an AI inference endpoint that they previously createD.
C. View a LLM that was imported by a different user.
D. Delete an endpoint that they previously createD.

Answer: C

NEW QUESTION # 18
Nutanix Enterprise AI supports the NVIDIA GPU Operator when it is configured to use which GPU-virtualization mode?

A. SR-IOV
B. GPU Passthrough only
C. GPU paravirtualization
D. vGPU MIG

Answer: B

NEW QUESTION # 19
An administrator notices increased model inference latency and frequent timeout errors in a Nutanix AI deployment during peak usage.
What is the most effective action to troubleshoot and resolve the performance issue?

A. Reduce the number of API keys to limit external access to the model.
B. Disable logging and monitoring tools to free up system resources.
C. Analyze resource metrics and scale out the model service to handle increased loaD.
D. Restart the Nutanix Kubernetes cluster to clear cached memory and reset service states.

Answer: C

NEW QUESTION # 20
An AI/ML administrator has been contacted by an endpoint owner who advises that one of their endpoints is not working properly anymore suggesting the API key has been removeD. The AI/ML administrator can see that the API key is no longer listed under the endpoint.
What filter under the Audit Events page can the AI/ML administrator use to help understand what has happened?

A. Action = Log Out
Entity Type = API Key
B. Action = Log Out
Entity Type = Endpoint
C. Action = Delete
Entity Type = Endpoint
D. Action = Delete
Entity Type = API Key

Answer: D

NEW QUESTION # 21
An administrator is integrating an application with an endpoint and finds that the application is experiencing high latency.
What action should the administrator take to ensure the lowest latency when creating endpoints?

A. Reduce the payload size limit.
B. Increase the number of endpoint instances.
C. Increase the cache expiration time.
D. Increase the timeout value on the endpoints.

Answer: B

NEW QUESTION # 22
......

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