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Nutanix NCP-AI Exam Syllabus Topics:

Section	Weight	Objectives
Deploy a Nutanix Enterprise AI Environment	20%	- Configure DNS, URLs, and SSL certificates - Install and enable Nutanix Enterprise AI components - Validate installation prerequisites
Configure a Nutanix Enterprise AI Environment	25%	- Create, secure, and publish API endpoints - Onboard and manage users and access control - Import and manage large language models
Troubleshoot a Nutanix Enterprise AI Environment	20%	- Remediate cluster health and operational failures - Troubleshoot model import and endpoint creation failures - Diagnose and resolve performance and resource issues
Perform Day 2 Operations	20%	- Optimize resource allocation and model selection - Manage access and security compliance - Monitor and interpret performance and usage metrics - Prepare for application integration
Connect Applications to Nutanix Enterprise AI	15%	- Validate integration and functionality - Configure application connections to endpoints - Monitor application usage and endpoint performance

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q74-Q79):

NEW QUESTION # 74
What minimum persistent storage is required for the nai-db app when deploying Nutanix Enterprise AI platform?

A. 2 TiB
B. 2 GiB
C. 4 TiB
D. 4 GiB

Answer: D

NEW QUESTION # 75
An administrator is working with a development team to integrate a customer service application with a large language model deployed on the Nutanix Enterprise AI platform. The model provides natural language responses, and the secure application needs to send user input and receive model-generated replies in real time.
The following requirements must be met:
The application must be connected to the correct API endpoint exposed by the model.
A valid API key must be used to authenticate each request.
The response format must match the expected schema in the application.
The administrator must test and confirm successful communication before production rollout.
Which step should the administrator perform to configure and validate the application successfully?

A. Confirm the response meets requirements using the copied endpoint URL and API key from the portal.
B. Set up the application in the hypervisor management interface and validate access using VM-level health checks.
C. Configure access to the endpoint by assigning the application a role in Prism Central.
D. Expose the model endpoint publicly by assigning an external IP address and bypass authentication for faster testing.

Answer: A

NEW QUESTION # 76
To reduce GPU usage charges over weekends, an administrator decides to temporarily pause all active endpoints.
Which action in Nutanix Enterprise AI supports this goal?

A. Apply a read-only license
B. Hibernate the endpoints
C. Detach the LLMs from endpoints
D. Scale inference pods to zero

Answer: B

NEW QUESTION # 77
How should a non-text-generation LLM endpoint be tested?

A. Open the URL on a Browser on the HTTPS web page.
B. Copy the Sample API Code and URL and run it in the application.
C. Select Custom Request and upload the provided test file, and click Test.
D. Create a Sample Request, choose a default prompt, and click Test.

Answer: B

NEW QUESTION # 78
Which endpoint attribute displays the number and name of the GPUs per instance?

A. Status
B. Inference Engine
C. Accelerator
D. Description

Answer: C

NEW QUESTION # 79
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