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Nutanix NCP-AI Exam Syllabus Topics:

Section	Objectives
Perform Day 2 Operations	- Monitor performance and activity - Select the appropriate LLM for tasks - Monitor usage for anomalies or outliers - Review performance details for tuning
Troubleshoot a Nutanix Enterprise AI Environment	- Correct endpoint configuration errors - Resolve model downloading and import failures - Troubleshoot model deployment and serving issues - Diagnose performance and health issues
Deploy a Nutanix Enterprise AI Environment	- Perform installation and initial configuration - Identify prerequisites for NAI deployment
Configure a Nutanix Enterprise AI Environment	- Manage API keys - Create and configure endpoints - Manage users and access control - Import models (LLMs)
Connect Applications to a Nutanix Enterprise AI Environment	- Test and validate integration - Configure applications to use NAI endpoints - Monitor endpoint-level metrics related to usage

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Quiz 2026 Nutanix High Hit-Rate NCP-AI: Nutanix Certified Professional - Artificial Intelligence v6.10 Test Passing Score

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q37-Q42):

NEW QUESTION # 37
An NAI administrator has successfully imported a model from Hugging Face and created an endpoint for the model. The endpoint is in the Active state. From within the Endpoint section in NAI, the endpoint has been tested with a Sample Request, the response is accurate, and the Status shows SucceedeD.
The administrator has provided the endpoint URL and generated and provided API keys to the developers. However, the developers are having issues connecting to the endpoint. They keep getting 400 Bad Request errors when attempting to prompt the model.
What should the administrator do next to ensure the developers are able to successfully prompt the model?

A. Check the Status of the endpoint again to make sure it was not accidentally HibernateD.
B. Add additional resources to 'scale up' the number of instances of the endpoint.
C. Provide the developers the 'Sample Request' code from the endpoint by clicking 'View Sample Request'.
D. Re-import the model from Hugging Face, create a new endpoint and provide new URL and API keys to the developers.

Answer: C

NEW QUESTION # 38
A junior developer has been granted access to an endpoint but is unsure how to send requests to it.
Which feature in the endpoint details page will help them get started with integration?

A. View API Logs
B. Sample Request code
C. User Role Editor
D. Endpoint Name

Answer: B

NEW QUESTION # 39
What should an administrator configure with a fully qualified domain name (FQDN) on the DNS domain that is accessible to a Kubernetes cluster?

A. Kserve
B. Knative-serving
C. Kube-api
D. Istio

Answer: D

NEW QUESTION # 40
An AI/ML Admin initiates an import of a new Large Language Model (LLM) from Hugging Face using its Model URL into Nutanix Enterprise AI. After the import process begins, the LLM's status on the Models page changes to Pending.
Based on this status, what is the most probable cause for the delay?

A. The NVIDIA GPU Operator is not installed on the Kubernetes cluster.
B. The system is awaiting the necessary cluster resources.
C. The Hugging Face access token provided is unauthorizeD.
D. The LLM is a custom model that Nutanix has not validateD.

Answer: B

NEW QUESTION # 41
Nutanix Enterprise AI supports the NVIDIA GPU Operator when it is configured to use which GPU-virtualization mode?

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

Answer: D

NEW QUESTION # 42
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