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Nutanix NCP-AI Exam Overview:

Certification Vendor:Nutanix
Exam Name:Nutanix Certified Professional – Artificial Intelligence
Exam Number:NCP-AI 6.10
Real Exam Qty:75
Exam Format:Multiple Choice, Multiple Response
Related Certifications:Nutanix Certified Professional – AI (NCP-AI)
Passing Score:3000
Exam Duration:120 minutes
Exam Price:$199 USD
Available Languages:English, Japanese
Certificate Validity Period:3 Years
Sample Questions:Nutanix NCP-AI Sample Questions
Exam Way:Pearson VUE (Online Proctored or Test Center)
Pre Condition:Candidates are recommended to have at least 3 years of virtual infrastructure experience and 1 year of experience with cloud-native technologies and Linux CLI. Knowledge of VMs, hypervisors, virtual networking, Nutanix Cloud Infrastructure (NCI), GPUs, Nutanix Unified Storage, and Certified Kubernetes Administrator (CKA) level knowledge is expected.
Official Syllabus URL:https://www.nutanix.com/support-services/training-certification/certifications/certification-details-nutanix-certified-professional-artificial-intelligence

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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
  • 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 3
  • 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 4
  • 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 5
  • 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.

Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q25-Q30):

NEW QUESTION # 25
Which widget within the Endpoint Details page can an administrator verify the memory usage associated with the endpoint?

Answer: B


NEW QUESTION # 26
What happens if an API key is lost after closing the creation dialog?

Answer: D


NEW QUESTION # 27
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?

Answer: B


NEW QUESTION # 28
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 # 29
A junior developer has been granted access to an endpoint but is unsure how to send requests to it.
Which feature in the endpoint details page will help them get started with integration?

Answer: C


NEW QUESTION # 30
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