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Nutanix NCP-AI Exam Overview:

Certification Vendor:	Nutanix
Exam Name:	Nutanix Certified Professional - Artificial Intelligence v6.10
Exam Number:	NCP-AI
Exam Format:	Multiple response, Multiple choice
Passing Score:	3000 / 6000
Exam Price:	$200 USD
Real Exam Qty:	75
Exam Duration:	120 minutes
Related Certifications:	Nutanix Certified Professional (NCP) Series Nutanix Certified Expert (NCX)
Available Languages:	English, Japanese
Certificate Validity Period:	2 years
Recommended Training:	Nutanix University Enterprise AI Training
Exam Registration:	PSI Exam Registration Nutanix Certification Portal
Sample Questions:	Nutanix NCP-AI Sample Questions
Exam Way:	Online proctored or onsite test center
Pre Condition:	3+ years virtual infrastructure experience; 1+ year cloud native and Linux CLI experience; knowledge of GPU, storage, Kubernetes (CKA level equivalent)
Official Syllabus URL:	https://www.nutanix.com/support-services/training-certification/certifications/certification-details-nutanix-certified-professional-artificial-intelligence

>> NCP-AI Exam Details <<

Hot NCP-AI Exam Details | Valid Nutanix Exam Questions NCP-AI Vce: Nutanix Certified Professional - Artificial Intelligence v6.10

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Nutanix NCP-AI Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 5	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.

Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q21-Q26):

NEW QUESTION # 21
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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. Fine-tune the Large Language Model on a broader dataset to enable it to generate more relevant responses.
B. Implement a rerank model as a post retrieval step to re-order initially retrieved documents based on query-document relevance.
C. Replace the embedding model with a larger, more general-purpose language model to improve document retrieval.
D. Significantly expand the document knowledge base by ingesting a much larger volume of financial reports.

Answer: B

NEW QUESTION # 22
An administrator is working with a development team to integrate a customer service application with a large language model deployed on the Nutanix Enterprise AI platform. The model provides natural language responses, and the secure application needs to send user input and receive model-generated replies in real time.
The following requirements must be met:
The application must be connected to the correct API endpoint exposed by the model.
A valid API key must be used to authenticate each request.
The response format must match the expected schema in the application.
The administrator must test and confirm successful communication before production rollout.
Which step should the administrator perform to configure and validate the application successfully?

A. Confirm the response meets requirements using the copied endpoint URL and API key from the portal.
B. Set up the application in the hypervisor management interface and validate access using VM-level health checks.
C. Configure access to the endpoint by assigning the application a role in Prism Central.
D. Expose the model endpoint publicly by assigning an external IP address and bypass authentication for faster testing.

Answer: A

NEW QUESTION # 23
Which widget within the Endpoint Details page can an administrator verify the memory usage associated with the endpoint?

A. Number of Compute Instances
B. Endpoints (Top 5)
C. Infrastructure Summary
D. API Requests Trends

Answer: C

NEW QUESTION # 24
A developer with experience using Open AI compatible clients is exploring using OpenAI Compatible endpoints within Nutanix Enterprise AI.
An administrator has provided the developer with a list of OpenAI compatible endpoints that Nutanix Enterprise AI supports but one of them is unsupporteD.
Which option shows the unsupported endpoint type?

A. /v1/embeddings
B. /v1/chat/completions
C. /v1/models
D. /v1/systems

Answer: D

NEW QUESTION # 25
Which deployment type of Nutanix Enterprise AI is supported in Amazon EKS?

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

Answer: D

NEW QUESTION # 26
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