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NCP-AI Reliable Exam Preparation - New NCP-AI Exam Pdf

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NCP-AI Reliable Exam Preparation - New NCP-AI Exam Pdf

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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
  • 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 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
  • 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
  • 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.

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Nutanix Certified Professional - Artificial Intelligence v6.10 Sample Questions (Q15-Q20):NEW QUESTION # 15
An administrator is integrating an application with an endpoint and finds that the application is experiencing high latency.
What action should the administrator take to ensure the lowest latency when creating endpoints?
  • A. Reduce the payload size limit.
  • B. Increase the timeout value on the endpoints.
  • C. Increase the number of endpoint instances.
  • D. Increase the cache expiration time.
Answer: C

NEW QUESTION # 16
An administrator is managing a Nutanix AI cluster used for NLP (Natural Language Processing) training. A data scientist reports that training jobs intermittently stall and fail to complete within the expected time window. The administrator reviews the performance data for the VM hosting the job and finds:
The VM is configured with passthrough access to a dedicated GPU
Memory ballooning is active, and swap usage is increasing
CPU utilization is moderate (~60%)
GPU utilization is stable and high (~85%)
The VM has 8 vCPUs and 24 GB of RAM assigned
NCC shows no hardware or driver issues
What is the most appropriate optimization to improve workload stability and performance?
  • A. Add additional vGPUs to the VM to reduce processing time.
  • B. Disable GPU passthrough and use a shared vGPU profile insteaD.
  • C. Increase the VM's RAM to eliminate memory ballooning and swap usage.
  • D. Reduce the number of vCPUs allocated to lower the CPU scheduling overheaD.
Answer: C

NEW QUESTION # 17
An administrator has been asked to install Nutanix Enterprise AI and is defining the NFS storage class for storing models.
What type of access mode needs to be defined?
  • A. ReadWriteOncePod (RWOP)
  • B. ReadOnlyMany (ROX)
  • C. ReadWriteOnce (RWO)
  • D. ReadWriteMany (RWX)
Answer: D

NEW QUESTION # 18
An administrator is configuring a new endpoint in Nutanix Enterprise AI (NAI) using an NVIDIA NIM model. During the configuration, the administrator notices that the Use GPU checkbox is selected and cannot be modifieD.
What is the reason the checkbox is locked in this state?
  • A. These models require GPU resources to run.
  • B. System has already validated the endpoint configuration.
  • C. Setting is locked due to a cluster-level policy restriction.
  • D. All endpoints in NAI require using GPUs.
Answer: A

NEW QUESTION # 19
An administrator is deploying a customer support chatbot that needs to integrate with a large language model hosted in the Nutanix Enterprise AI platform. The goal is to enable real-time inference while following best practices for security and scalability.
Which action should the administrator perform to meet these requirements?
  • A. Configure a firewall exception using Nutanix Flow and force restricted access from the chatbot subnet to the AI model.
  • B. Create an API endpoint in the NAI Dashboard and generate an API key to assign to the endpoint for secure access.
  • C. Enable access to the model through SSH and use raw socket communication between the chatbot and model service.
  • D. Register the chatbot application in Prism Central and map it to the deployed model through application profiles.
Answer: B

NEW QUESTION # 20
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