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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
  • 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
  • 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 4
  • 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 5
  • 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.

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

NEW QUESTION # 25
When preparing GPU nodes for a Nutanix Enterprise AI deployment within a GKE environment, how should an administrator treat the installation of the NVIDIA drivers?

Answer: C


NEW QUESTION # 26
What is the least privileged user role within Nutanix Enterprise AI required to import a LLM?

Answer: C


NEW QUESTION # 27
An administrator is monitoring the performance of a deployed Large Language Model within the Nutanix Enterprise AI platform. After initial deployment, users report slow inference response times and occasional timeouts when accessing the model through its API endpoint.
The administrator reviews the performance metrics available in the NAI Dashboard and notes the following:
CPU usage is consistently high across all inference-serving containers.
Memory utilization is nearing the allocated limits for the model service.
The request latency graph shows increasing average inference times during peak usage.
Which action should the administrator take to improve performance and reduce latency?

Answer: C


NEW QUESTION # 28
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: C


NEW QUESTION # 29
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What does hibernating an endpoint do?

Answer: C


NEW QUESTION # 30
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