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Nutanix NCP-AI Exam Syllabus Topics:

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

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q56-Q61):

NEW QUESTION # 56
An administrator is troubleshooting a slow response from an inference endpoint used by multiple separate applications. The administrator has observed a huge increase in requests.
In order to identify which application is generating the huge increase in requests, what could the administrator do?

A. Deactivate API keys one at a time.
B. Reduce the assigned compute resources.
C. Increase the assigned compute resources.
D. Deactivate the inference endpoint.

Answer: A

NEW QUESTION # 57
Refer to the exhibit

An administrator needs to troubleshoot an import failure from a AI/ML user and does not have the admin right to try to do a manual upload of LLM.
What is the cause of the import failure?

A. Storage location configuration is not correct.
B. AI/ML User does not have the proper rights.
C. Model Instance name test already exists.
D. Wrong pre-validated model has been selecteD.

Answer: B

NEW QUESTION # 58
Which deployment type of Nutanix Enterprise AI is supported in Amazon EKS?

A. Standalone
B. GPT-in-a-Box 2.0
C. Cloud Cluster
D. Bare Metal

Answer: C

NEW QUESTION # 59
Which task is an AI/ML User unable to perform in Nutanix Enterprise AI?

A. Delete an endpoint that they previously createD.
B. Test an AI inference endpoint that they previously createD.
C. Create an API key to access an AI inference endpoint.
D. View a LLM that was imported by a different user.

Answer: D

NEW QUESTION # 60
Here is the text converted from the uploaded image:
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. Replace the embedding model with a larger, more general-purpose language model to improve document retrieval.
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. Significantly expand the document knowledge base by ingesting a much larger volume of financial reports.

Answer: B

NEW QUESTION # 61
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