Get Nutanix NCP-AI Exam Practice Questions - Real and Updated

An administrator is deploying the required infrastructure on-premise using NKP on Nutanix to install NAI.

Which type of storage should be created during the deployment process to save the models?

An NAI administrator has successfully imported a model from Hugging Face and created an endpoint for the model. The endpoint is in the Active state. From within the Endpoint section in NAI, the endpoint has been tested with a Sample Request, the response is accurate, and the Status shows SucceedeD.

The administrator has provided the endpoint URL and generated and provided API keys to the developers. However, the developers are having issues connecting to the endpoint. They keep getting 400 Bad Request errors when attempting to prompt the model.

What should the administrator do next to ensure the developers are able to successfully prompt the model?

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?

An administrator logs onto the Nutanix Enterprise AI Dashboard and notices that all current GPU and non-GPU Endpoints are marked as HibernateD. After reviewing the Audit Events section, the administrator notes that no anomalous behavior events have occurred since the day before.

What is the most likely cause as to why all of the current Endpoints are hibernated seemingly at random?

An administrator is responsible for monitoring access to the Nutanix Enterprise AI (NAI) platform and must ensure that any unusual activity, such as excessive access requests from specific users or IP addresses, is detected in real time. The administrator has discovered that the NAI Dashboard lacks the detail required to detect this type of activity.

What is the most effective method for the administrator to detect such outlier behavior and ensure a timely response?