Online Access Free EMC.NCP-AII.v2026-01-14.q144 Practice Test (Page 6)

NCP-AII Exam Question 21

You are using a custom container runtime other than Docker (e.g., containerd) and need to integrate it with the NVIDIA Container Toolkit.
What command would you use to configure the NVIDIA Container Toolkit for this runtime? (Assume your runtime configuration file is located at '/etc/containerd/config.toml')

A.nvidia-ctk runtime configure

B.nvidia-ctk runtime configure -runtime=custom -config=/etc/containerd/config.tomr

C.nvidia-ctk runtime install -runtime-containerd'

D.nvidia-ctk runtime config -runtime=containerd -set-default'

E.'nvidia-docker runtime configure -runtime=containerd'

NCP-AII Exam Question 22

Which command is used to verify the installation and configuration of the NGC CLI after initial setup?

A.'ngc -version'

B.'ngc config validate'

C.'ngc setup verify'

D.'ngc registry model list'

E.'ngc system statue'

NCP-AII Exam Question 23

You are tasked with diagnosing performance issues on a GPU server running a large-scale HPC simulation. The simulation utilizes multiple GPUs and InfiniBand for inter-GPU communication. You suspect that RDMA (Remote Direct Memory Access) is not functioning correctly. How would you comprehensively test and verify the proper operation of RDMA between the GPUs?

A.Use 'ping' to verify basic network connectivity between the server's InfiniBand interfaces.

B.Employ and from the 'perftest' suite to measure RDMA bandwidth and latency between GPUs.

C.Run 'nvidia-smi topo -m' to check the GPU interconnect topology and verify that NVLink or PCle is being used for communication.

D.Utilize NCCL's internal diagnostic tools to verify proper inter-GPU communication within the simulation.

E.Monitor CPU utilization during the simulation; high CPU usage suggests that RDMA is not offloading communication effectively.

NCP-AII Exam Question 24

You are deploying a cloud-native AI inference service using Kubernetes and NVIDIA GPUs. You need to ensure that GPU resources are efficiently allocated and monitored. Which of the following approaches is MOST effective for achieving this within the Kubernetes environment?

A.Relying solely on Kubernetes' default CPU and memory resource requests and limits, assuming GPU usage will be implicitly managed.

B.Using the NVIDIA Device Plugin for Kubernetes to advertise GPU resources and utilizing resource requests and limits to schedule pods on nodes with available GPUs.

C.Manually assigning specific GPU devices to pods using hostPath volumes and environment variables.

D.Deploying a dedicated monitoring agent on each node to track GPU utilization and manually adjusting pod resource requests based on these metrics.

E.Overcommitting GPU resources and relying on the Kubernetes scheduler to handle potential out-of-memory (OOM) errors.

NCP-AII Exam Question 25

You observe high latency and low bandwidth between two GPUs connected via an NVLink switch. You suspect a problem with the NVLink link itself. Which of the following methods would be the most effective in diagnosing the physical NVLink link health?

A.Using 'iperf3' to measure network throughput between the servers.

B.Running a CUDA-aware memory bandwidth test specifically designed for NVLink.

C.Examining system logs for NVLink-related error messages.

D.Using 'ping' to check network connectivity between the servers.

E.Physically inspecting the NVLink cables for damage.

Latest Upload: 130Splunk.SPLK-1002.v2026-01-14.q121; 117EMC.NCP-AII.v2026-01-14.q144; 162Microsoft.AZ-800.v2026-01-13.q144; 172Microsoft.MS-102.v2026-01-13.q258; 117HP.HPE2-E84.v2026-01-13.q17; 126SAP.C_THR84_2505.v2026-01-12.q37; 110Salesforce.CRT-261.v2026-01-12.q83; 181Microsoft.SC-400.v2026-01-11.q164; 140SAP.C_THR88_2505.v2026-01-11.q67; 143CIPS.L4M6.v2026-01-11.q106

NCP-AII Exam Question 21

NCP-AII Exam Question 22

NCP-AII Exam Question 23

NCP-AII Exam Question 24

NCP-AII Exam Question 25

Download PDF File