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NVIDIA AI Operations Sample Questions (Q30-Q35):

NEW QUESTION # 30
You need to do maintenance on a node. What should you do first?

Answer: C

Explanation:
Before performing maintenance on a compute node in Slurm, the best practice is to drain the node to prevent new jobs from being scheduled while allowing current jobs to finish. This is done using the scontrol update NodeName=<nodename> State=Drain command or equivalent. Setting the node state to down immediately may disrupt running jobs, and disabling scheduling on all nodes is unnecessarily broad. Draining ensures a controlled transition for maintenance.


NEW QUESTION # 31
Consider the following data center scenario: You need to deploy a large-scale distributed training job using PyTorch across 16 GPU servers. Each server has 8 NVIDIAA100 GPUs. The training dataset is 1 TB and stored on a network file system (NFS). You observe significant performance bottlenecks during data loading. What are the MOST effective strategies to mitigate this bottleneck? (Select TWO)

Answer: A,B

Explanation:
The bottleneck is data loading. Increasing the number of NFS servers and striping the data improves the overall read throughput from the network storage. Moving the data to local SSDs eliminates the network bottleneck entirely. Reducing the batch size or using data parallelism only addresses the compute aspect of the training, not the data loading bottleneck. While a faster network protocol helps, moving data local is even more effective. The NFS server configuration is key to improvement.


NEW QUESTION # 32
An organization only needs basic network monitoring and validation tools.
Which UFM platform should they use?

Answer: C

Explanation:
The UFM Telemetry platform provides basic network monitoring and validation capabilities, making it suitable for organizations that require foundational insight into their network status without advanced analytics or AI-driven cybersecurity features. Other platforms such as UFM Enterprise or UFM Pro offer broader or more advanced functionalities, while UFM Cyber-AI focuses on AI-driven cybersecurity.


NEW QUESTION # 33
Which command line utility can be used to verify the proper functioning of GPUDirect RDMA between two GPUs on different nodes?

Answer: B

Explanation:
'ibv_devinfo' is a command-line utility (part of the InfiniBand Verbs library) that provides information about RDMA devices and their capabilities. This includes verifying that RDMA is enabled and configured correctly, which is essential for GPUDirect RDMA. 'nvidia-smi' monitors GPU status. 'rocminfo' is for AMD GPUs. 'cuda-memcheck' is for CUDA memory errors. 'Ispci' lists PCI devices, but it doesn't specifically verify RDMA functionality.


NEW QUESTION # 34
You're configuring MIG on an NVIDIAA100 for a mixed AI/HPC environment. One application requires high memory bandwidth, and the other requires high compute throughput. Which MIG instance configuration would optimally balance these requirements?

Answer: E

Explanation:
Option C is the most flexible and efficient approach. By tailoring MIG instance sizes to each application's specific needs, you can ensure that resources are allocated efficiently, and the overall performance is optimized. Other options may not fully utilize the GPU or may lead to resource contention.


NEW QUESTION # 35
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