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Nutanix NCP-AI Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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
  • 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 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.

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q55-Q60):

NEW QUESTION # 55
An administrator attempts to import a pre-trained model into Nutanix Enterprise AI (NAI), but the model fails to appear in the deployment list, and endpoint creation is unavailable.
Which action should the administrator take to troubleshoot the issue?

Answer: B


NEW QUESTION # 56
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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?

Answer: B


NEW QUESTION # 57
The administrator observes a "Pod Network Unreachable" health check failure in the NAI, specifically affecting several application pods on a newly added worker node. Existing pods on other nodes are functioning normally.
Upon initial investigation, kubectl get pods -o wide shows the affected pods stuck in ContainerCreating or Pending status, and kubectl describe pod <pod-name> events include messages, such as:
"FailedCreatePodSandBox: failed to create sandbox: rpc error: code = Unknown desc = failed to set up network for sandbox..." or "network is not ready" What is the reason for this error and the appropriate next step that the administrator should take?

Answer: C


NEW QUESTION # 58
What is the least privileged user role within Nutanix Enterprise AI required to import a LLM?

Answer: D


NEW QUESTION # 59
A data-science team wants to test an unvalidated Hugging Face model within the NAI DashboarD.
Which option lets them onboard it?

Answer: C


NEW QUESTION # 60
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