NCP-AII Practice Questions

A.  

Perform a software-driven restart on the operating system of every compute node, then use advanced tools to check firmware status and reissue update commands if any firmware appears inactive afterward.

B.  

Initiate the required cold reset or power cycle to activate updated firmware, reset the BMC using the recommended command, and perform an AC power cycle when required for EROT and CPLD firmware activation.

C.  

Initiate a cold power cycle on all node trays to activate firmware, follow with a DGX reboot procedure, and use the management interface to finish activating CPLD firmware on the host.

D.  

Execute a single operating system reboot on the DGX after the update process, then reset the software stack and verify status using diagnostic commands on each node.

A.  

Implement redundant switches with spanning tree protocol.

B.  

MLAG for bonded interfaces across redundant switches.

C.  

Use only one switch for all management and storage traffic.

D.  

Disable VLANs and use unmanaged switches.

A.  

Download and install only the specific versions of GPU and DOCA drivers listed as compatible with the current OS and hardware.

B.  

Apply legacy drivers for hardware released within the last two years to maintain maximum compatibility across versions.

C.  

Install the latest available drivers directly from the NVIDIA website.

D.  

Use the default drivers provided by the Linux distribution, unless an installation fails during system boot.

A.  

sminfo, then smpquery ND

B.  

ibstat, then sminfo

C.  

ibnetdiscover, then ibsim

D.  

sminfo, then smpquery NI

A.  

Use nvsm show health for a system health summary, nvsm show storage for storage issues, and nvidia-smi -q to get detailed GPU information.

B.  

Run nvsm collect-stats to gather logs, use lsblk to understand if there are storage problems, and nvidia-smi -q to get detailed GPU information.

C.  

Start by issuing nvidia-smi -L to list GPUs, followed by nvsm --refresh to clear all alerts, and nvidia-smi -q to get detailed GPU information.

D.  

Run nvsm reset to restore system health, then use nvidia-smi --fix for automatic GPU repairs and status recovery.

A.  

Reduce PCIe Gen4 speed to Gen3 speed in BIOS settings.

B.  

Reseat the GPU, then rerun the test.

C.  

Disable NVLink in BIOS to isolate PCIe performance.

D.  

Reinstall NVIDIA drivers using apt-get install nvidia-driver-550.

A.  

Increase batch sizes to reduce the frequency of storage access.

B.  

Migrate datasets to SATA SSDs with RAID 0 for higher sequential read speeds.

C.  

Add more GPUs to the cluster to parallelize data loading tasks.

D.  

Implement GPUDirect Storage to enable direct data transfers.

A.  

Enable HPL_USE_NVSHMEM for alternative memory sharing.

B.  

Run DCGM diagnostics alongside burn-in to monitor GPU health metrics.

C.  

Switch from BERT to GPT models for simpler computations.

D.  

Reduce blocksize to 500MB to lower memory pressure.

A.  

sudo docker run --gpus all --rm nvcr.io/nvidia/cuda:12.1.1-base-ubuntu22.04 systemctl

B.  

sudo docker run --gpus all --rm nvcr.io/nvidia/cuda:12.1.1-base-ubuntu22.04 ls -la

C.  

sudo docker run --rm nvcr.io/nvidia/cuda:12.1.1-base-ubuntu22.04 nvidia-smi

D.  

sudo docker run --gpus all --rm nvcr.io/nvidia/cuda:12.1.1-base-ubuntu22.04 nvidia-smi

A.  

Update the BMC and skip the GPU tray and motherboard tray updates if the system appears healthy.

B.  

Perform a cold reset, stop all GPU activity, update and reboot the BMC, update motherboard and tray components, and verify completion.

C.  

Update the GPU tray first, then the motherboard tray, and reboot the BMC after all updates are complete.

D.  

Stop all GPU activity, update and reboot the BMC, update motherboard and tray components, perform a cold reset, and verify completion.