NCP-AI practice question 4 of 15

An administrator is working with a development team to integrate a customer service application with a large language model deployed on the Nutanix…

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?

Answer options

A: Confirm the response meets requirements using the copied endpoint URL and API key from the portal. Correct answer

B: Expose the model endpoint publicly by assigning an external IP address and bypass authentication for faster testing.

C: Configure access to the endpoint by assigning the application a role in Prism Central.

D: Set up the application in the hypervisor management interface and validate access using VM-level health checks.

Correct Answer:

A. Confirm the response meets requirements using the copied endpoint URL and API key from the portal.

Explanation

To integrate an application with a model deployed on the Nutanix Enterprise AI platform, the standard procedure is to use the secure API endpoint provided upon model deployment. The platform's management interface provides a unique endpoint URL and an API key for authentication. The administrator must use these credentials to send a test request from the application or a tool like cURL. This action validates network connectivity, authentication, and, most importantly, confirms that the model's response payload matches the schema the application is designed to parse, fulfilling all the stated requirements for successful integration.

Why Incorrect

B. Exposing an endpoint publicly and bypassing authentication is a severe security violation and directly contradicts the requirement to use a valid API key for a secure application.
C. Prism Central roles manage access to the Nutanix infrastructure, not API-level authentication for external applications connecting to a specific model's inference endpoint.
D. Hypervisor management and VM health checks operate at the infrastructure level; they cannot validate API connectivity, authentication, or the data schema of a model's response.

References

1. Nutanix GPT-in-a-Box 2.0 Deployment and User Guide, Section: Using the Deployed Model, Page 38.

This section explicitly states: "After you deploy a model, you can use the model by sending requests to the inference server endpoint. You can get the endpoint URL and the API key from the Deployed Models page." It then provides a curl command example showing how to use the endpoint URL and the API key in the Authorization header to test the model and receive a response, which directly supports the process described in answer A.

2. Nutanix GPT-in-a-Box 2.0 Deployment and User Guide, Section: Deployed Models View, Page 36.

This section details the information available for a deployed model, including the "Endpoint URL" and the option to "Copy API Key". This confirms that these two critical pieces of information are obtained from the Nutanix AI portal, as mentioned in answer A.

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