Online Access Free NCP-AIO Practice Test

An administrator is troubleshooting a bottleneck in a deep learning run time and needs consistent data feed rates to GPUs.
Which storage metric should be used?

• A.Disk I/O operations per second (IOPS)
• B.Disk utilization in performance manager
• C.Disk free space
• D.Sequential read speed

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.Manually download the container image and YAML file beforehand, transfer them to the DPU, and deploy using Kubernetes with standalone Kubelet.
• B.Install Docker on the DPU, pull the container directly from NGC, and run it using `docker run' with appropriate environment variables.
• C.Use the host system's Docker engine to pull the container image and deploy it on the DPU via SSH.
• D.Pull the container image from NGC using Docker and modify the YAML file before deployment.

Which strategy ensures zero downtime during deployment by maintaining two identical environments and switching traffic entirely from the old environment to the new one once validation is complete?

• A.Canary deployment
• B.Shadow deployment
• C.Blue-green deployment
• D.Rolling deployment

An administrator is troubleshooting issues with NVIDIA GPUDirect storage and must ensure optimal data transfer performance.
What step should be taken first?

• A.Check for compatible RDMA-capable network hardware and configurations.
• B.Increase the GPU's core clock frequency.
• C.Install additional GPU memory (VRAM).
• D.Upgrade the CPU to a higher clock speed.

A GPU administrator needs to virtualize AI/ML training in an HGX environment.
How can the NVIDIA Fabric Manager be used to meet this demand?

• A.Video encoding acceleration
• B.Manage NVLink and NVSwitch resources
• C.Enhance graphical rendering
• D.GPU memory upgrade