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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	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	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	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 5	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.

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q76-Q81):

NEW QUESTION # 76
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. Ask the Cloud Platform Operations Team to add additional CPUs to the Nutanix Enterprise AI Servers.
B. Increase the Endpoint instances for all of the configured Endpoints on the Nutanix Enterprise AI platform.
C. Review the Cluster & Node Usage to identify if a specific resource is being exhausted and increase it.
D. Ask the Cloud Platform Operations Team to scale the Kubernetes Cluster worker nodes up/out.

Answer: C

NEW QUESTION # 77
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. Add additional vGPUs to the VM to reduce processing time.
B. Increase the VM's RAM to eliminate memory ballooning and swap usage.
C. Reduce the number of vCPUs allocated to lower the CPU scheduling overheaD.
D. Disable GPU passthrough and use a shared vGPU profile insteaD.

Answer: B

NEW QUESTION # 78
In a new instance of Nutanix Enterprise AI, what task must be completed to create an API key?

A. Create an endpoint first.
B. Download LLM and create endpoint.
C. Provision a GPU worker node.
D. Provision an API key in NKP.

Answer: A

NEW QUESTION # 79
What happens if an API key is lost after closing the creation dialog?

A. The key can be retrieved from the NAI DashboarD.
B. Nutanix Support can be contacted to recover it.
C. It can be reset from the Endpoint page.
D. A new one must be generated for the endpoint.

Answer: D

NEW QUESTION # 80
Which endpoint attribute displays the number and name of the GPUs per instance?

A. Description
B. Status
C. Inference Engine
D. Accelerator

Answer: D

NEW QUESTION # 81
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