Free PDF Quiz Nutanix - Latest Authentic NCP-AI Exam Questions

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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
Exam Price:$199 USD
Related Certifications:Nutanix Certified Professional – AI (NCP-AI)
Exam Duration:120 minutes
Real Exam Qty:75
Certificate Validity Period:3 Years
Passing Score:3000
Available Languages:English, Japanese
Exam Format:Multiple Response, Multiple Choice
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
  • 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 2
  • 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 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
  • 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 (Q32-Q37):

NEW QUESTION # 32
Which GPU is currently supported for Nutanix AI deployment?

Answer: A


NEW QUESTION # 33
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?

Answer: D


NEW QUESTION # 34
Which deployment type of Nutanix Enterprise AI is supported in Amazon EKS?

Answer: C


NEW QUESTION # 35
When manually importing pre-validated or custom LLM Models from existing storage, which protocol is supported?

Answer: B


NEW QUESTION # 36
Immediately after installing NAI, an administrator must verify that every pod in the namespace nai-system is in a ready state using the command kubectl get pods -n nai-system.
Which ready value would indicate a pod is highly available and healthy?

Answer: D


NEW QUESTION # 37
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