Free NCP-AI Practice Test Questions and Answers (2026) | Cert Empire

A data-science team wants to test an unvalidated Hugging Face model within the NAI DashboarD. Which option lets them onboard it?

What happens if an API key is lost after closing the creation dialog?

Which deployment type of Nutanix Enterprise AI is supported in Amazon EKS?

In a new instance of Nutanix Enterprise AI, what task must be completed to create an API key?

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?

How should a non-text-generation LLM endpoint be tested?

When preparing an NAI deployment using NKP, which Infrastructure OS should be used to support AI compatible GPUs?

Here is the text converted from the uploaded image: An Accounting Department is thrilled with the RAG Application that the Application & Data Science Teams recently rolled out. However, they provided some feedback that sometimes (approximately 20% of the time), the documents retrieved are not relevant to their prompts or are too generiC. During development, there was extensive testing between models to make sure the best possible model was selecteD. The Accounting Department emphasizes that when the responses use the right documents, the results are very good and they are pleased with the completeness, accuracy, and coherence of those responses. What would be a way to address the irrelevant RAG results without having to rebuild the entire workflow?

A developer with experience using Open AI compatible clients is exploring using OpenAI Compatible endpoints within Nutanix Enterprise AI. An administrator has provided the developer with a list of OpenAI compatible endpoints that Nutanix Enterprise AI supports but one of them is unsupporteD. Which option shows the unsupported endpoint type?

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?