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NVIDIA AI Operations Sample Questions (Q34-Q39):
NEW QUESTION # 34
Which of the following are key considerations when selecting storage for an AI training workload using large datasets? (Select TWO)
Answer: A,B,D
Explanation:
Capacity is obviously important for large datasets. IOPS and Network Bandwidth are critical for feeding data to the GPUs efficiently and avoiding bottlenecks during training. While CPU and RAM on storage servers are relevant, they are secondary to capacity, IOPS, and network performance. Insufficient bandwidth can lead to GPU starvation, significantly slowing down the training process.
NEW QUESTION # 35
An administrator is troubleshooting issues with an NVIDIA Unified Fabric Manager Enterprise (UFM) installation and notices that the UFM server is unable to communicate with InfiniBand switches.
What step should be taken to address the issue?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Communication issues between UFM server and InfiniBand switches often result from misconfigured or missingsubnet manager configurationon the switches. The subnet manager controls fabric membership and routing, so verifying and correcting its setup is essential for proper UFM operation. Rebooting, adding GPUs, or disabling firewalls are less likely to resolve fabric-level communication problems.
NEW QUESTION # 36
You are managing a cluster with multiple nodes connected via NVLink and NVSwitch. After a network outage, some of the NVLink connections are showing as 'degraded' in 'nvsm show links'. What steps should you take to attempt to restore the connections to their optimal state? (Select TWO correct answers)
Answer: A,E
Explanation:
Restarting the 'nvsm' service can help re-establish the connections. Checking the physical cable connections is crucial to ensure they are secure and undamaged. 'nvsm repair links' is not a valid command. Rebooting the entire cluster may be necessary in some situations, but it's a more disruptive step to take initially. A BIOS update is unlikely to solve the problem if it arose after a network outage.
NEW QUESTION # 37
You're troubleshooting a slow BCM-based AI workload. GPU utilization is low, and 'nvidia-smi' shows idle GPUs. You suspect a bottleneck in data transfer. Which of the following is the MOST likely cause?
Answer: B
Explanation:
All options contribute to potential bottlenecks in BCM pipelines. Insufficient CPU cores hamper preprocessing. Incorrect BCM configuration ruins pipelining. Driver incompatibilities cause performance hits or failures. Network latency delays data ingestion.
NEW QUESTION # 38
You have a Slurm cluster configured with multiple partitions, and you want to restrict a specific user group to only submit jobs to a particular partition. How can you achieve this using Slurm's Quality of Service (QOS) and Access Control features?
Answer: B
Explanation:
Creating a QOS that restricts access to the desired partition and associating that QOS with the user group is the most direct and controlled method. The 'sacctmgr' tool is used to manage QOS and user/group associations.
NEW QUESTION # 39
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