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Nutanix NCP-AI Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 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	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.

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q15-Q20):

NEW QUESTION # 15
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. 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.
B. Increase the number of instances for the NAI endpoint to enhance performance and reduce latency.
C. Reseed the initial dataset and reimport the existing LLM within Nutanix Enterprise AI without implementing a RAG platform.
D. Consult the Hugging Face documentation for the specific LLM to review its training data, intended use cases, and capabilities.

Answer: D

NEW QUESTION # 16
An administrator has been asked to verify why the URL NAI dashboard is inaccessible.
Which service could be impacted?

A. prometheus
B. kserve
C. istio
D. metallb

Answer: C

NEW QUESTION # 17
A data-science team wants to test an unvalidated Hugging Face model within the NAI DashboarD.
Which option lets them onboard it?

A. NGC catalog
B. Marketplace app
C. Import Model - Using CURL
D. Import Model - Using URL

Answer: D

NEW QUESTION # 18
What happens to the resources created by the user when the user is deactivated?

A. Resources created by the user will be deleteD.
B. Resources created by the user will remain active.
C. Resources created by the user will be hibernateD.
D. Resources created by the user will be reassigneD.

Answer: C

NEW QUESTION # 19
What minimum persistent storage is required for the nai-db app when deploying Nutanix Enterprise AI platform?

A. 2 GiB
B. 4 GiB
C. 2 TiB
D. 4 TiB

Answer: B

NEW QUESTION # 20
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