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Nutanix NCP-AI Exam Syllabus Topics:

Section	Objectives
AI Fundamentals	- AI workloads and use cases in enterprise environments - Core concepts of artificial intelligence and machine learning
Nutanix AI Infrastructure	- Nutanix cloud platform architecture for AI workloads - Prism and infrastructure management concepts
Model Deployment and MLOps	- Model lifecycle management and deployment workflows - Automation and operationalization of AI models
Security and Governance	- Security controls for AI workloads on Nutanix - Data governance and compliance in AI systems

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q20-Q25):

NEW QUESTION # 20
What prerequisites must be skipped when adding GPU nodes to a managed Kubernetes service on an Azure AKS cluster using Azure CLI?

A. Install the Worker driver
B. Install the GPU Connector
C. Install the GPU driver
D. Install the Worker Connector

Answer: C

NEW QUESTION # 21
Here is the text converted from the uploaded image 21.jpg:
What does the View Sample Request link within the Endpoint List provide for administrators?

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

Answer: C

NEW QUESTION # 22
A development team is building a new AI-powered customer service chatbot. They have successfully integrated an LLM from Hugging Face into their application via a Nutanix Enterprise AI (NAI) endpoint. The NAI administrator has confirmed the endpoint is in the 'Active' state, and internal sample requests run from the NAI Endpoint section return an 'accurate' response and 'Succeeded' status.
However, the developers report that the chatbot frequently provides vague or irrelevant answers to user queries, leading to low customer satisfaction scores. They describe the LLM's performance for this specific chatbot task as "suboptimal." What should the administrator advise the developers to do next to improve the quality of the LLM's responses for the customer service chatbot task?

A. Reseed the initial dataset and reimport the existing LLM within Nutanix Enterprise AI without implementing a RAG platform.
B. Increase the number of instances for the NAI endpoint to enhance performance and reduce latency.
C. Consult the Hugging Face documentation for the specific LLM to review its training data, intended use cases, and capabilities.
D. Instruct the administrator to check the Kubernetes pod logs for the endpoint to identify any CRASHLOOPBACKOFF or OOMKilled errors that might be affecting model inference.

Answer: C

NEW QUESTION # 23
What is the minimum number of supported GPUs required to deploy Google pre-validated LLMs?

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

Answer: B

NEW QUESTION # 24
An administrator logs onto the Nutanix Enterprise AI Dashboard and notices that all current GPU and non-GPU Endpoints are marked as HibernateD. After reviewing the Audit Events section, the administrator notes that no anomalous behavior events have occurred since the day before.
What is the most likely cause as to why all of the current Endpoints are hibernated seemingly at random?

A. The vCPU and GPU GB licenses has expireD.
B. The vCPU license has expireD.
C. The GPU GB license has been exceedeD.
D. The vCPU and GPU GB trial licenses are close to expiry.

Answer: B

NEW QUESTION # 25
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