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| Topic | Details |
|---|
| 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.
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| Topic 2 | - 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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| 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.
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| 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.
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| 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 (Q54-Q59):
NEW QUESTION # 54
When licensing Nutanix Enterprise AI, which license is required to create an inference endpoint?
- A. NUS Pro
- B. NKP Ultimate
- C. GPU GB
- D. vCPU
Answer: C
NEW QUESTION # 55
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?
- A. Endpoint has not been configured with the right LLM.
- B. API key has been removed from the endpoint.
- C. API key has been created by another AI/ML admin.
- D. Endpoint as been created by another AI/ML admin.
Answer: B
NEW QUESTION # 56
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. Create an API endpoint in the NAI Dashboard and generate an API key to assign to the endpoint for secure access.
- B. Register the chatbot application in Prism Central and map it to the deployed model through application profiles.
- C. Enable access to the model through SSH and use raw socket communication between the chatbot and model service.
- D. Configure a firewall exception using Nutanix Flow and force restricted access from the chatbot subnet to the AI model.
Answer: A
NEW QUESTION # 57
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?
- A. Confirm the response meets requirements using the copied endpoint URL and API key from the portal.
- B. Expose the model endpoint publicly by assigning an external IP address and bypass authentication for faster testing.
- C. Set up the application in the hypervisor management interface and validate access using VM-level health checks.
- D. Configure access to the endpoint by assigning the application a role in Prism Central.
Answer: A
NEW QUESTION # 58
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. All endpoints in NAI require using GPUs.
- C. System has already validated the endpoint configuration.
- D. Setting is locked due to a cluster-level policy restriction.
Answer: A
NEW QUESTION # 59
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