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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
Available Languages:	Japanese, English
Exam Duration:	120 minutes
Passing Score:	3000
Real Exam Qty:	75
Related Certifications:	Nutanix Certified Professional – AI (NCP-AI)
Exam Price:	$199 USD
Certificate Validity Period:	3 Years
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	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 2	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 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	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 5	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.

Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q45-Q50):

NEW QUESTION # 45
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What does the View Sample Request link within the Endpoint List provide for administrators?

A. It contains the URL and API key to connect to the endpoint.
B. It connects the endpoint to the Large Language Model.
C. It only stores the URL required to access the endpoint.
D. It includes the instructions on how to delete the endpoint.

Answer: A

NEW QUESTION # 46
An administrator is deploying the required infrastructure on-premise using NKP on Nutanix to install NAI.
Which type of storage should be created during the deployment process to save the models?

A. NFS
B. CIFS
C. Volume
D. Block

Answer: A

NEW QUESTION # 47
An administrator is configuring a new endpoint in Nutanix Enterprise AI (NAI) using an NVIDIA NIM model. During the configuration, the administrator notices that the Use GPU checkbox is selected and cannot be modifieD.
What is the reason the checkbox is locked in this state?

A. Setting is locked due to a cluster-level policy restriction.
B. These models require GPU resources to run.
C. System has already validated the endpoint configuration.
D. All endpoints in NAI require using GPUs.

Answer: B

NEW QUESTION # 48
An administrator is deploying a customer support chatbot that needs to integrate with a large language model hosted in the Nutanix Enterprise AI platform. The goal is to enable real-time inference while following best practices for security and scalability.
Which action should the administrator perform to meet these requirements?

A. Register the chatbot application in Prism Central and map it to the deployed model through application profiles.
B. Create an API endpoint in the NAI Dashboard and generate an API key to assign to the endpoint for secure access.
C. Configure a firewall exception using Nutanix Flow and force restricted access from the chatbot subnet to the AI model.
D. Enable access to the model through SSH and use raw socket communication between the chatbot and model service.

Answer: B

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. Configure access to the endpoint by assigning the application a role in Prism Central.
C. Expose the model endpoint publicly by assigning an external IP address and bypass authentication for faster testing.
D. Set up the application in the hypervisor management interface and validate access using VM-level health checks.

Answer: A

NEW QUESTION # 50
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