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Nutanix Certified Professional - Artificial Intelligence v6.10 NCP-AI Exam Questions

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Question #1 (Topic: Demo Questions)

What should an administrator configure with a fully qualified domain name (FQDN) on the DNS domain that is accessible to a Kubernetes cluster?

A.

Knative-serving


B.

Kube-api


C.

Kserve


D.

Istio

Correct Answer: D
Explanation:

Comprehensive and Detailed Explanation From Exact Extract of Nutanix Artificial Intelligence documents knowledge without any external URL or links:

According to the Nutanix Enterprise AI network requirements and installation guide, the administrator must configure a fully qualified domain name (FQDN) on the DNS domain that resolves to the external IP address of the Ingress Gateway service.1 In the architecture used by Nutanix Enterprise AI (which typically leverages the KServe stack), Istio provides the Ingress Gateway (often referred to as the Envoy Ingress Gateway or Istio Ingress Gateway).2

The documentation explicitly states: "Ensure that you configure a fully qualified domain name (FQDN) on the DNS domain that is accessible to your Kubernetes cluster using the external IP address of the Envoy Ingress Gateway service ." 3 Since Envoy acts as the data plane and ingress controller for the Istio service mesh in this deployment, the DNS record must point to the LoadBalancer IP allocated to the Istio/Envoy gateway to route traffic correctly to the AI endpoints.

Question #2 (Topic: Demo Questions)

What does the Sample Request code include?

A.

Endpoint URL and API key


B.

User credentials and API key


C.

Endpoint URL and GPU type


D.

GPU type and max_tokens

Correct Answer: A
Explanation:

Comprehensive and Detailed Explanation From Exact Extract of Nutanix Artificial Intelligence documents knowledge without any external URL or links:

According to the Nutanix Enterprise AI documentation regarding "Viewing Sample API Code," the sample code provided by the dashboard is designed to help developers integrate the endpoint into their applications. The documentation explicitly states: "The sample code contains the URL and API key required to access the endpoint."

These two components are essential for the client application to locate the service (Endpoint URL) and authenticate the request (API Key). User credentials (such as username/password) are not part of the standard inference API request, and infrastructure details like GPU type are abstracted away from the client code.

Question #3 (Topic: Demo Questions)

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...

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.

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
Explanation:

Comprehensive and Detailed Explanation From Exact Extract of Nutanix Artificial Intelligence documents knowledge without any external URL or links:

To successfully configure and validate the integration, the administrator needs to utilize the connection details provided by the NAI platform.

    Validation Workflow: The correct procedure is to retrieve the Endpoint URL and the unique API Key from the NAI Endpoint details page (often via the "View Sample Request" or "Sample Code" feature).

    Configuration: The administrator or developer must then configure the application to send HTTP requests to this specific URL with the API Key included in the header (e.g., as a Bearer token).

    Testing: Sending a test request using these exact credentials allows the administrator to confirm the response meets requirements (schema and content) and validates that the application can successfully authenticate and communicate with the inference service before production rollout.

Question #4 (Topic: Demo Questions)

Corporate policy says that API keys should be deactivated, not deleted, when a compromise is suspected, but may need to be restored.

Which new status will the key display after the one-click Deactivate action?

A.

Pending


B.

Inactive


C.

Expired


D.

Failed

Correct Answer: B
Explanation:

Comprehensive and Detailed Explanation From Exact Extract of Nutanix Artificial Intelligence documents knowledge without any external URL or links:

In the Nutanix Enterprise AI dashboard, the API Key management interface allows administrators to control the lifecycle of access tokens. The available actions for an API key are to "Activate" or "Deactivate" it.

According to the API Keys documentation, when an administrator selects an active key and clicks the Deactivate action, the system immediately revokes access for that key and updates its status column to Inactive . This state allows the key to be retained in the system (meeting the corporate policy of not deleting it) and permits the administrator to switch it back to "Active" status later if access needs to be restored. "Expired" and "Failed" are not status labels resulting from this specific manual deactivation action.

Question #5 (Topic: Demo Questions)

An administrator has installed and deployed NAI, but the UI is not launching.

Which command should the administrator use to ensure that all pods are successfully deployed?

A.

kubectl get pods -n nai-system


B.

kubectl get pods -n knative-serving


C.

kubectl get pods -n kube-system


D.

kubectl get pods -n ntnx-base

Correct Answer: A
Explanation:

Comprehensive and Detailed Explanation From Exact Extract of Nutanix Artificial Intelligence documents knowledge without any external URL or links:

The core management components of the Nutanix Enterprise AI application, including the User Interface (UI), the API server, and the database, are deployed into the nai-system namespace.

If the UI is failing to launch, the administrator must verify the status of the application pods specifically within this namespace. The command kubectl get pods -n nai-system will list the status of pods such as nai-ui, nai-api, and nai-db.

    knative-serving contains the inference server components, not the management UI.

    kube-system contains core Kubernetes components.

    ntnx-base typically contains platform-level agents but not the NAI application logic.

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