NCP-AIO NVIDIA Practice Questions

Question #6 (Topic: Demo Questions)

You are tasked with deploying a DOCA service on an NVIDIA BlueField DPU in an air-gapped data center environment. The DPU has the required BlueField OS version (3.9.0 or higher) installed, and you have access to the necessary container image from NVIDIA's NGC catalog. However, you need to ensure that the deployment process is successful without an internet connection.
Which of the following steps should you take to deploy the DOCA service on the DPU?

A.

Install Docker on the DPU, pull the container directly from NGC, and run it using ‘docker run’ with appropriate environment variables.

B.

Pull the container image from NGC using Docker and modify the YAML file before deployment.

C.

Manually download the container image and YAML file beforehand, transfer them to the DPU, and deploy using Kubernetes with standalone Kubelet.

D.

Use the host system’s Docker engine to pull the container image and deploy it on the DPU via SSH.

Correct Answer: C

Explanation:

Comprehensive and Detailed Explanation From Exact Extract:

In an air-gapped environment where the DPU has no internet connectivity, direct pulling of container images from NVIDIA’s NGC catalog is not possible. The recommended approach is to manually download the required container image and YAML deployment files from a connected system, then transfer these files to the DPU. Deployment is then performed using Kubernetes with a standalone Kubelet on the DPU, which can deploy the preloaded container image offline. This ensures the deployment proceeds successfully without internet access.

Question #7 (Topic: Demo Questions)

A new researcher needs access to GPU resources but should not have permission to modify cluster settings or manage other users.
What role should you assign them in Run:ai?

A.

L1 Researcher

B.

Department Administrator

C.

Application Administrator

D.

Research Manager

Correct Answer: A

Explanation:

Comprehensive and Detailed Explanation From Exact Extract:
In Run:ai, roles are assigned based on levels of permissions. The L1 Researcher role is designed for users who need access to GPU resources for running jobs and experiments but should not have administrative rights over cluster settings or other users. This role ensures researchers can use resources without affecting cluster configurations or user management. Other roles like Department Administrator, Application Administrator, or Research Manager have broader privileges, including managing users and settings, which are not appropriate for the new researcher’s requirements.

Question #8 (Topic: Demo Questions)

What is the primary purpose of assigning a provisioning role to a node in NVIDIA Base Command Manager (BCM)?

A.

To configure the node as a container orchestration manager

B.

To enable the node to monitor GPU utilization across the cluster

C.

To allow the node to manage software images and provision other nodes

D.

To assign the node as a storage manager for certified storage

Correct Answer: C

Explanation:

Comprehensive and Detailed Explanation From Exact Extract:
In NVIDIA Base Command Manager (BCM), assigning the provisioning role to a node enables that node to manage software images and perform provisioning tasks for other nodes in the cluster. This role allows automated deployment and configuration of cluster nodes, ensuring consistency and simplifying large-scale management. It is not primarily responsible for container orchestration, GPU monitoring, or storage management.

NVIDIA NCP-AIO - NVIDIA Certified Professional AI Operations Certification Exam

Install Docker on the DPU, pull the container directly from NGC, and run it using ‘docker run’ with appropriate environment variables.

Pull the container image from NGC using Docker and modify the YAML file before deployment.

Manually download the container image and YAML file beforehand, transfer them to the DPU, and deploy using Kubernetes with standalone Kubelet.

Use the host system’s Docker engine to pull the container image and deploy it on the DPU via SSH.

Correct Answer: C

Comprehensive and Detailed Explanation From Exact Extract:

A new researcher needs access to GPU resources but should not have permission to modify cluster settings or manage other users.What role should you assign them in Run:ai?

L1 Researcher

Department Administrator

Application Administrator

Research Manager

Correct Answer: A

What is the primary purpose of assigning a provisioning role to a node in NVIDIA Base Command Manager (BCM)?

To configure the node as a container orchestration manager

To enable the node to monitor GPU utilization across the cluster

To allow the node to manage software images and provision other nodes

To assign the node as a storage manager for certified storage

Correct Answer: C

A new researcher needs access to GPU resources but should not have permission to modify cluster settings or manage other users.
What role should you assign them in Run:ai?