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NVIDIA-Certified Professional NVIDIA AI Operations

NVIDIA AI Operations

Last Update Oct 14, 2025
Total Questions : 66

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Questions 2

You are managing a Slurm cluster with multiple GPU nodes, each equipped with different types of GPUs. Some jobs are being allocated GPUs that should be reserved for other purposes, such as display rendering.

How would you ensure that only the intended GPUs are allocated to jobs?

Options:

A.  

Verify that the GPUs are correctly listed in both gres.conf and slurm.conf, and ensure that unconfigured GPUs are excluded.

B.  

Use nvidia-smi to manually assign GPUs to each job before submission.

C.  

Reinstall the NVIDIA drivers to ensure proper GPU detection by Slurm.

D.  

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

Discussion 0
Questions 3

You are configuring networking for a new AI cluster in your data center. The cluster will handle large-scale distributed training jobs that require fast communication between servers.

What type of networking architecture can maximize performance for these AI workloads?

Options:

A.  

Implement a leaf-spine network topology using standard Ethernet switches to ensure scalability as more nodes are added.

B.  

Prioritize out-of-band management networks over compute networks to ensure efficient job scheduling across nodes.

C.  

Use standard Ethernet networking with a focus on increasing bandwidth through multiple connections per server.

D.  

Use InfiniBand networking to provide low-latency, high-throughput communication between servers in the cluster.

Discussion 0
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Questions 4

You are managing a high-performance computing environment. Users have reported storage performance degradation, particularly during peak usage hours when both small metadata-intensive operations and large sequential I/O operations are being performed simultaneously. You suspect that the mixed workload is causing contention on the storage system.

Which of the following actions is most likely to improve overall storage performance in this mixed workload environment?

Options:

A.  

Reducing stripe count for large files would decrease parallelism, likely worsening performance for large sequential I/O operations.

B.  

Separate metadata-intensive operations and large sequential I/O operations by using different storage pools for each type of workload.

C.  

Increase the number of Object Storage Targets (OSTs) to handle more metadata operations.

D.  

Disable GPUDirect Storage (GDS) during peak hours to reduce I/O load on the Lustre file system.

Discussion 0
Questions 5

When troubleshooting Slurm job scheduling issues, a common source of problems is jobs getting stuck in a pending state indefinitely.

Which Slurm command can be used to view detailed information about all pending jobs and identify the cause of the delay?

Options:

A.  

scontrol

B.  

sacct

C.  

sinfo

Discussion 0
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