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Nutanix NCP-AI Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 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.

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q35-Q40):

NEW QUESTION # 35
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. User Role Editor
B. View API Logs
C. Sample Request code
D. Endpoint Name

Answer: C

NEW QUESTION # 36
Which prerequisite must be validated to ensure Nutanix Enterprise AI workloads can utilize GPU acceleration?

A. Nodes must have supported GPUs and appropriate NVIDIA drivers installeD.
B. Each node must have dual 100GbE network interfaces.
C. Controller VMs must be configured with GPU passthrough enabled by default.
D. Prism Central must be running version 2020.11 or later.

Answer: A

NEW QUESTION # 37
Refer to the exhibit

An administrator needs to troubleshoot an import failure from a AI/ML user and does not have the admin right to try to do a manual upload of LLM.
What is the cause of the import failure?

A. Model Instance name test already exists.
B. Storage location configuration is not correct.
C. AI/ML User does not have the proper rights.
D. Wrong pre-validated model has been selecteD.

Answer: C

NEW QUESTION # 38
An administrator is managing a Nutanix AI cluster used for NLP (Natural Language Processing) training. A data scientist reports that training jobs intermittently stall and fail to complete within the expected time window. The administrator reviews the performance data for the VM hosting the job and finds:
The VM is configured with passthrough access to a dedicated GPU
Memory ballooning is active, and swap usage is increasing
CPU utilization is moderate (~60%)
GPU utilization is stable and high (~85%)
The VM has 8 vCPUs and 24 GB of RAM assigned
NCC shows no hardware or driver issues
What is the most appropriate optimization to improve workload stability and performance?

A. Reduce the number of vCPUs allocated to lower the CPU scheduling overheaD.
B. Add additional vGPUs to the VM to reduce processing time.
C. Disable GPU passthrough and use a shared vGPU profile insteaD.
D. Increase the VM's RAM to eliminate memory ballooning and swap usage.

Answer: D

NEW QUESTION # 39
An administrator attempts to import a pre-trained model into Nutanix Enterprise AI (NAI), but the model fails to appear in the deployment list, and endpoint creation is unavailable.
Which action should the administrator take to troubleshoot the issue?

A. Assign a public IP address to the model container for visibility.
B. Modify the API key to allow administrative access to all endpoints.
C. Restart the AI cluster to refresh the model registry and endpoint manager.
D. Verify that the model format and metadata meet NAI requirements.

Answer: D

NEW QUESTION # 40
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