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The Nutanix NCP-AI certification exam offers a great opportunity to advance your career. With the Nutanix Certified Professional - Artificial Intelligence v6.10 certification exam beginners and experienced professionals can demonstrate their expertise and knowledge. After passing the Nutanix Certified Professional - Artificial Intelligence v6.10 (NCP-AI) exam you can stand out in a crowded job market. The Nutanix Certified Professional - Artificial Intelligence v6.10 (NCP-AI) certification exam shows that you have taken the time and effort to learn the necessary skills and have met the standards in the market.

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

NEW QUESTION # 35
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?

Answer: D


NEW QUESTION # 36
An administrator is monitoring the performance of a deployed Large Language Model within the Nutanix Enterprise AI platform. After initial deployment, users report slow inference response times and occasional timeouts when accessing the model through its API endpoint.
The administrator reviews the performance metrics available in the NAI Dashboard and notes the following:
CPU usage is consistently high across all inference-serving containers.
Memory utilization is nearing the allocated limits for the model service.
The request latency graph shows increasing average inference times during peak usage.
Which action should the administrator take to improve performance and reduce latency?

Answer: C


NEW QUESTION # 37
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An Accounting Department is thrilled with the RAG Application that the Application & Data Science Teams recently rolled out. However, they provided some feedback that sometimes (approximately 20% of the time), the documents retrieved are not relevant to their prompts or are too generiC.
During development, there was extensive testing between models to make sure the best possible model was selecteD. The Accounting Department emphasizes that when the responses use the right documents, the results are very good and they are pleased with the completeness, accuracy, and coherence of those responses.
What would be a way to address the irrelevant RAG results without having to rebuild the entire workflow?

Answer: D


NEW QUESTION # 38
The administrator observes a "Pod Network Unreachable" health check failure in the NAI, specifically affecting several application pods on a newly added worker node. Existing pods on other nodes are functioning normally.
Upon initial investigation, kubectl get pods -o wide shows the affected pods stuck in ContainerCreating or Pending status, and kubectl describe pod <pod-name> events include messages, such as:
"FailedCreatePodSandBox: failed to create sandbox: rpc error: code = Unknown desc = failed to set up network for sandbox..." or "network is not ready" What is the reason for this error and the appropriate next step that the administrator should take?

Answer: A


NEW QUESTION # 39
An administrator is setting up Nutanix Enterprise AI with a custom domain (ai.company.com) and must comply with security policies requiring a valid TLS certificate from the corporate certificate authority (CA).
Which two steps are necessary to complete this configuration successfully? (Choose two.)

Answer: C,D


NEW QUESTION # 40
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