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Nutanix NCP-AI Exam Overview:

Certification Vendor:	Nutanix
Exam Name:	Nutanix Certified Professional – Artificial Intelligence
Exam Number:	NCP-AI 6.10
Exam Format:	Multiple Choice, Multiple Response
Exam Price:	$199 USD
Available Languages:	Japanese, English
Real Exam Qty:	75
Related Certifications:	Nutanix Certified Professional – AI (NCP-AI)
Certificate Validity Period:	3 Years
Exam Duration:	120 minutes
Passing Score:	3000
Sample Questions:	Nutanix NCP-AI Sample Questions
Exam Way:	Pearson VUE (Online Proctored or Test Center)
Pre Condition:	Candidates are recommended to have at least 3 years of virtual infrastructure experience and 1 year of experience with cloud-native technologies and Linux CLI. Knowledge of VMs, hypervisors, virtual networking, Nutanix Cloud Infrastructure (NCI), GPUs, Nutanix Unified Storage, and Certified Kubernetes Administrator (CKA) level knowledge is expected.
Official Syllabus URL:	https://www.nutanix.com/support-services/training-certification/certifications/certification-details-nutanix-certified-professional-artificial-intelligence

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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	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 3	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 4	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.
Topic 5	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.

Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q47-Q52):

NEW QUESTION # 47
Which task is an AI/ML User unable to perform in Nutanix Enterprise AI?

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

Answer: D

NEW QUESTION # 48
Which GPU is currently supported for Nutanix AI deployment?

A. A100
B. L4
C. V100
D. T4

Answer: A

NEW QUESTION # 49
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. Expose the model endpoint publicly by assigning an external IP address and bypass authentication for faster testing.
D. Configure access to the endpoint by assigning the application a role in Prism Central.

Answer: A

NEW QUESTION # 50
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What does hibernating an endpoint do?

A. It optimizes resource usage and deletes the endpoint for new endpoints to be createD.
B. It deletes all the resources from the endpoint without affecting the LLM.
C. It freezes the activity of the endpoint to make edits to the endpoint.
D. It pauses the endpoint and releases compute resources without deleting the endpoint.

Answer: B

NEW QUESTION # 51
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 LLM is a custom model that Nutanix has not validateD.
B. The Hugging Face access token provided is unauthorizeD.
C. The system is awaiting the necessary cluster resources.
D. The NVIDIA GPU Operator is not installed on the Kubernetes cluster.

Answer: C

NEW QUESTION # 52
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