Free Practice Questions for Nutanix NCP-AI Exam

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

To onboard a custom or "unvalidated" model directly from Hugging Face into the Nutanix Enterprise AI dashboard, administrators utilize theImport Modelworkflow.

Workflow:In the "Import Model" wizard, there is a specific option to import fromHugging Face.1This requires the user to input theRepository ID(often referred to in generic UI options as the "URL" or path to the model, e.g., meta-llama/Llama-2-7b).

Why D is correct:This option allows the platform to pull the model weights and configuration files directly from the specified public repository.

Why others are incorrect:

Using CURL (A):NAI provides cURL code snippets toconsume(make inference requests to) a running model, not toimportit into the registry.

NGC Catalog (B):This is for NVIDIA-specific models, not general Hugging Face repositories.

Marketplace app (C):This typically refers to Nutanix Marketplace blueprints, not the specific action of importing a raw model weight set from Hugging Face.

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

In the Nutanix Enterprise AI "Models" dashboard, the Pending status has a specific definition related to resource availability.13 The documentation states: "Pending: The system is waiting for the resources required to save the LLM.14 For example, if the required storage space is not available, Nutanix Enterprise AI maintains a Pending status until the storage space becomes available."15

This indicates that the import process has been accepted but cannot proceed to the "Processing" (downloading) phase because the cluster lacks the necessary underlying resources (specifically storage capacity in the PVC/Files support) to ingest the model.

If the token were unauthorized, the status would typically result in aFailedstate.

If the model were custom/unvalidated, it would still process if resources were available.