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Braindumps NCP-AI Downloads - NCP-AI Latest Exam Questions

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Braindumps NCP-AI Downloads - NCP-AI Latest Exam Questions

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Begin Your Preparation with Nutanix NCP-AI Real Questions. The PassTestking is a reliable platform that is committed to making your preparation for the Nutanix NCP-AI examination easier and more effective. To meet this objective, the PassTestking is offering updated and real Understanding Nutanix Certified Professional - Artificial Intelligence v6.10 exam dumps. These Nutanix NCP-AI Exam Questions are approved by experts.
Nutanix NCP-AI Exam Syllabus Topics:
TopicDetails
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
  • 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
  • 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
  • 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.

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q32-Q37):NEW QUESTION # 32
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. Consult the Hugging Face documentation for the specific LLM to review its training data, intended use cases, and capabilities.
  • B. 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.
  • C. Increase the number of instances for the NAI endpoint to enhance performance and reduce latency.
  • D. Reseed the initial dataset and reimport the existing LLM within Nutanix Enterprise AI without implementing a RAG platform.
Answer: A

NEW QUESTION # 33
Nutanix AI officially supports which two LLM packaging formats? (Choose two.)
  • A. Hugging Face
  • B. OLLAMA
  • C. NVIDIA NIM
  • D. ONNX
Answer: A,C

NEW QUESTION # 34
An NAI administrator has successfully imported a model from Hugging Face and created an endpoint for the model. The endpoint is in the Active state. From within the Endpoint section in NAI, the endpoint has been tested with a Sample Request, the response is accurate, and the Status shows SucceedeD.
The administrator has provided the endpoint URL and generated and provided API keys to the developers. However, the developers are having issues connecting to the endpoint. They keep getting 400 Bad Request errors when attempting to prompt the model.
What should the administrator do next to ensure the developers are able to successfully prompt the model?
  • A. Check the Status of the endpoint again to make sure it was not accidentally HibernateD.
  • B. Add additional resources to 'scale up' the number of instances of the endpoint.
  • C. Provide the developers the 'Sample Request' code from the endpoint by clicking 'View Sample Request'.
  • D. Re-import the model from Hugging Face, create a new endpoint and provide new URL and API keys to the developers.
Answer: C

NEW QUESTION # 35
An AI/ML admin is testing access to an endpoint using Open AI compatible clients, but is unable to successfully access the endpoint.
What could be the issue?
  • A. API key has been created by another AI/ML admin.
  • B. API key has been removed from the endpoint.
  • C. Endpoint as been created by another AI/ML admin.
  • D. Endpoint has not been configured with the right LLM.
Answer: B

NEW QUESTION # 36
Which deployment type of Nutanix Enterprise AI is supported in Amazon EKS?
  • A. GPT-in-a-Box 2.0
  • B. Standalone
  • C. Bare Metal
  • D. Cloud Cluster
Answer: D

NEW QUESTION # 37
......
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