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NVIDIA AI Operations Question and Answers

NVIDIA AI Operations

Last Update Oct 16, 2025
Total Questions : 66

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Questions 1

What should an administrator check if GPU-to-GPU communication is slow in a distributed system using Magnum IO?

Options:

A.  

Limit the number of GPUs used in the system to reduce congestion.

B.  

Increase the system's RAM capacity to improve communication speed.

C.  

Disable InfiniBand to reduce network complexity.

D.  

Verify the configuration of NCCL or NVSHMEM.

Discussion 0
Questions 2

You are tasked with deploying a deep learning framework container from NVIDIA NGC on a stand-alone GPU-enabled server.

What must you complete before pulling the container? (Choose two.)

Options:

A.  

Install Docker and the NVIDIA Container Toolkit on the server.

B.  

Set up a Kubernetes cluster to manage the container.

C.  

Install TensorFlow or PyTorch manually on the server before pulling the container.

D.  

Generate an NGC API key and log in to the NGC container registry using docker login.

Discussion 0
Questions 3

An administrator requires full access to the NGC Base Command Platform CLI.

Which command should be used to accomplish this action?

Options:

A.  

ngc set API

B.  

ngc config set

C.  

ngc config BCP

Discussion 0
Questions 4

You are managing a Kubernetes cluster running AI training jobs using TensorFlow. The jobs require access to multiple GPUs across different nodes, but inter-node communication seems slow, impacting performance.

What is a potential networking configuration you would implement to optimize inter-node communication for distributed training?

Options:

A.  

Increase the number of replicas for each job to reduce the load on individual nodes.

B.  

Use standard Ethernet networking with jumbo frames enabled to reduce packet overhead during communication.

C.  

Configure a dedicated storage network to handle data transfer between nodes during training.

D.  

Use InfiniBand networking between nodes to reduce latency and increase throughput for distributed training jobs.

Discussion 0
Questions 5

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?

Options:

A.  

L1 Researcher

B.  

Department Administrator

C.  

Application Administrator

D.  

Research Manager

Discussion 0
Questions 6

In a high availability (HA) cluster, you need to ensure that split-brain scenarios are avoided.

What is a common technique used to prevent split-brain in an HA cluster?

Options:

A.  

Configuring manual failover procedures for each node.

B.  

Using multiple load balancers to distribute traffic evenly across nodes.

C.  

Implementing a heartbeat network between cluster nodes to monitor their health.

D.  

Replicating data across all nodes in real time.

Discussion 0
Questions 7

You are managing a deep learning workload on a Slurm cluster with multiple GPU nodes, but you notice that jobs requesting multiple GPUs are waiting for long periods even though there are available resources on some nodes.

How would you optimize job scheduling for multi-GPU workloads?

Options:

A.  

Reduce memory allocation per job so more jobs can run concurrently, freeing up resources faster for multi-GPU workloads.

B.  

Ensure that job scripts use --gres=gpu: and configure Slurm’s backfill scheduler to prioritize multi-GPU jobs efficiently.

C.  

Set up separate partitions for single-GPU and multi-GPU jobs to avoid resource conflicts between them.

D.  

Increase time limits for smaller jobs so they don’t interfere with multi-GPU job scheduling.

Discussion 0
Questions 8

A system administrator needs to configure and manage multiple installations of NVIDIA hardware ranging from single DGX BasePOD to SuperPOD.

Which software stack should be used?

Options:

A.  

NetQ

B.  

Fleet Command

C.  

Magnum IO

D.  

Base Command Manager

Discussion 0
Questions 9

A data scientist is training a deep learning model and notices slower than expected training times. The data scientist alerts a system administrator to inspect the issue. The system administrator suspects the disk IO is the issue.

What command should be used?

Options:

A.  

tcpdump

B.  

iostat

C.  

nvidia-smi

D.  

htop

Discussion 0
Questions 10

A Slurm user needs to display real-time information about the running processes and resource usage of a Slurm job.

Which command should be used?

Options:

A.  

smap -j

B.  

scontrol show job

C.  

sstat -j

D.  

sinfo -j

Discussion 0
Questions 11

You are an administrator managing a large-scale Kubernetes-based GPU cluster using Run:AI.

To automate repetitive administrative tasks and efficiently manage resources across multiple nodes, which of the following is essential when using the Run:AI Administrator CLI for environments where automation or scripting is required?

Options:

A.  

Use the runai-adm command to directly update Kubernetes nodes without requiring kubectl.

B.  

Use the CLI to manually allocate specific GPUs to individual jobs for better resource management.

C.  

Ensure that the Kubernetes configuration file is set up with cluster administrative rights before using the CLI.

D.  

Install the CLI on Windows machines to take advantage of its scripting capabilities.

Discussion 0
Questions 12

A Fleet Command system administrator wants to create an organization user that will have the following rights:

For locations - read only

For Applications - read/write/admin

For Deployments - read/write/admin

For Dashboards - read only

What role should the system administrator assign to this user?

Options:

A.  

Fleet Command Operator

B.  

Fleet Command Admin

C.  

Fleet Command Supporter

D.  

Fleet Command Viewer

Discussion 0
Questions 13

What steps should an administrator take if they encounter errors related to RDMA (Remote Direct Memory Access) when using Magnum IO?

Options:

A.  

Increase the number of network interfaces on each node to handle more traffic concurrently without using RDM

A.  

B.  

Disable RDMA entirely and rely on TCP/IP for all network communications between nodes.

C.  

Check that RDMA is properly enabled and configured on both storage and compute nodes for efficient data transfers.

D.  

Reboot all compute nodes after every job completion to reset RDMA settings automatically.

Discussion 0
Questions 14

A cloud engineer is looking to deploy a digital fingerprinting pipeline using NVIDIA Morpheus and the NVIDIA AI Enterprise Virtual Machine Image (VMI).

Where would the cloud engineer find the VMI?

Options:

A.  

Github and Dockerhub

B.  

Azure, Google, Amazon Marketplaces

C.  

NVIDIA NGC

D.  

Developer Forums

Discussion 0
Questions 15

You are deploying AI applications at the edge and want to ensure they continue running even if one of the servers at an edge location fails.

How can you configure NVIDIA Fleet Command to achieve this?

Options:

A.  

Use Secure NFS support for data redundancy.

B.  

Set up over-the-air updates to automatically restart failed applications.

C.  

Enable high availability for edge clusters.

D.  

Configure Fleet Command's multi-instance GPU (MIG) to handle failover.

Discussion 0
Questions 16

You are using BCM for configuring an active-passive high availability (HA) cluster for a firewall system. To ensure seamless failover, what is one best practice related to session synchronization between the active and passive nodes?

Options:

A.  

Configure both nodes with different zone names to avoid conflicts during failover.

B.  

Use heartbeat network for session synchronization between active and passive nodes.

C.  

Ensure that both nodes use different firewall models for redundancy.

D.  

Set up manual synchronization procedures to transfer session data when needed.

Discussion 0
Questions 17

A Slurm user needs to submit a batch job script for execution tomorrow.

Which command should be used to complete this task?

Options:

A.  

sbatch -begin=tomorrow

B.  

submit -begin=tomorrow

C.  

salloc -begin=tomorrow

D.  

srun -begin=tomorrow

Discussion 0
Questions 18

A Slurm user is experiencing a frequent issue where a Slurm job is getting stuck in the “PENDING” state and unable to progress to the “RUNNING” state.

Which Slurm command can help the user identify the reason for the job’s pending status?

Options:

A.  

sinfo -R

B.  

scontrol show job

C.  

sacct -j

D.  

squeue -u

Discussion 0
Questions 19

A system administrator notices that jobs are failing intermittently on Base Command Manager due to incorrect GPU configurations in Slurm. The administrator needs to ensure that jobs utilize GPUs correctly.

How should they troubleshoot this issue?

Options:

A.  

Increase the number of GPUs requested in the job script to avoid using unconfigured GPUs.

B.  

Check if MIG (Multi-Instance GPU) mode has been enabled incorrectly and reconfigure Slurm accordingly.

C.  

Verify that non-MIG GPUs are automatically configured in Slurm when detected, and adjust configurations if needed.

D.  

Ensure that GPU resource limits have been correctly defined in Slurm’s configuration file for each job type.

Discussion 0