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Nutanix NCP-AI Exam Syllabus Topics:

Section	Objectives
Topic 1: Perform Day 2 Operations	- Review performance details for tuning - Monitor usage for anomalies or outliers - Select the appropriate LLM for tasks - Monitor performance and activity
Topic 2: Connect Applications to a Nutanix Enterprise AI Environment	- Configure applications to use NAI endpoints - Monitor endpoint-level metrics related to usage - Test and validate integration
Topic 3: Configure a Nutanix Enterprise AI Environment	- Manage users and access control - Create and configure endpoints - Import models (LLMs) - Manage API keys
Topic 4: Deploy a Nutanix Enterprise AI Environment	- Perform installation and initial configuration - Identify prerequisites for NAI deployment
Topic 5: Troubleshoot a Nutanix Enterprise AI Environment	- Resolve model downloading and import failures - Diagnose performance and health issues - Troubleshoot model deployment and serving issues - Correct endpoint configuration errors

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q67-Q72):

NEW QUESTION # 67
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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?

A. Significantly expand the document knowledge base by ingesting a much larger volume of financial reports.
B. Implement a rerank model as a post retrieval step to re-order initially retrieved documents based on query-document relevance.
C. Fine-tune the Large Language Model on a broader dataset to enable it to generate more relevant responses.
D. Replace the embedding model with a larger, more general-purpose language model to improve document retrieval.

Answer: B

NEW QUESTION # 68
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 # 69
What is the least privileged user role within Nutanix Enterprise AI required to import a LLM?

A. NKP Admin
B. Super Admin
C. AI/ML Admin
D. AI/ML User

Answer: C

NEW QUESTION # 70
An administrator has been ask to troubleshoot the import of a new NIM LLM in NAI. The import Status is Pending.
What could be the most common issue?

A. System is downloading the LLM.
B. LLM repository read access restriction.
C. Required storage space is not available.
D. Unauthorized Hugging Face token.

Answer: A

NEW QUESTION # 71
An administrator is setting up Nutanix AI to support generative AI use cases and needs to make a Large Language Model (LLM) available within the platform.
Which action must the administrator perform?

A. Upload the LLM through the Nutanix AI portal's model import interface.
B. Enable LLM auto-discovery in the cluster settings.
C. Install the LLM using the Nutanix Prism Central marketplace.
D. Deploy the LLM using a third-party container orchestration tool.

Answer: A

NEW QUESTION # 72
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