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Nutanix NCP-AI Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 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.

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q67-Q72):

NEW QUESTION # 67
What is the minimum number of supported GPUs required to deploy Google pre-validated LLMs?

A. 0
B. 1
C. 2
D. 3

Answer: A

NEW QUESTION # 68
An AI/ML administrator has received a message from the cloud platform operations team who manage the underlying compute infrastructure that there may be a resource consumption issue impacting the workloaD.
The AI/ML administrator isn't aware of any problems reported from the consumers of the Nutanix Enterprise AI system but has noted that additional workloads were placed on the platform recently, as well as the introduction of GPUs.
With the cloud platform team reporting a resource consumption issue, and the consumers of the service not reporting any issues, what steps should the AI/ML administrator take?

A. Increase the Endpoint instances for all of the configured Endpoints on the Nutanix Enterprise AI platform.
B. Review the Cluster & Node Usage to identify if a specific resource is being exhausted and increase it.
C. Ask the Cloud Platform Operations Team to add additional CPUs to the Nutanix Enterprise AI Servers.
D. Ask the Cloud Platform Operations Team to scale the Kubernetes Cluster worker nodes up/out.

Answer: B

NEW QUESTION # 69
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. Enable access to the model through SSH and use raw socket communication between the chatbot and model service.
B. Configure a firewall exception using Nutanix Flow and force restricted access from the chatbot subnet to the AI model.
C. Create an API endpoint in the NAI Dashboard and generate an API key to assign to the endpoint for secure access.
D. Register the chatbot application in Prism Central and map it to the deployed model through application profiles.

Answer: C

NEW QUESTION # 70
Which user type is the first AI/ML admin user who installs Nutanix Enterprise AI on the Kubernetes cluster?

A. AI/ML Admin
B. Super Admin
C. Super User
D. AI/ML User

Answer: B

NEW QUESTION # 71
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. Sample Request code
B. User Role Editor
C. Endpoint Name
D. View API Logs

Answer: A

NEW QUESTION # 72
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