Nutanix NCP-AI Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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.

Reference: https://www.nutanix.com/support-services/training-certification/certifications/certification-details-nutanix-certified-professional-artificial-intelligence#

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions:

Question #1

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

Reveal Solution Discussion 0

Correct Answer: D 🗳️

Question #2

An AI/ML administrator is monitoring a Nutanix Enterprise AI cluster and receives an alert that the cluster's health status is Critical.
The administrator logs into the NAI Dashboard and gathers the following information:
The Infrastructure Summary component is marked as Critical (red status).
A system message indicates that their newly added Custom Chatbot service is waiting for available resources to start.
A resource usage summary shows that CPU usage is at or near 100%.
Other services are running but are responding more slowly than usual.
The cluster is currently not configured to automatically add more resources when needeD.
Based on the information that the administrator gathered, what is the most appropriate action that the administrator should take to remediate the issue?

A. Enable automatic resource scaling within NKP and allow for more CPU resources to be allocated to the clusters.
B. Enable automatic resource scaling within NAI to allow for more CPU resources to be allocated to the clusters.
C. Restart the Kubernetes node in a rollout fashion within NAI DashboarD.
D. Restart the Kubernetes node in a rollout fashion within Prism Central.

Reveal Solution Discussion 0

Correct Answer: A 🗳️

Question #3

Which widget within the Endpoint Details page can an administrator verify the memory usage associated with the endpoint?