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NVIDIA AI Operations Sample Questions (Q10-Q15):

NEW QUESTION # 10
A user submits a Slurm job script with the following options:

Assuming each node has 4 GPUs, how many GPU resources will be allocated to this job across the entire cluster?

A. 0
B. 1
C. 2
D. 3
E. 4

Answer: D

Explanation:
The job requests 2 nodes (nodes=2) and one GPU per node Therefore, a total of 2 GPUs (2 nodes 1 GPU/node) will be allocated to the job.

NEW QUESTION # 11
A data scientist submits a Run.ai job requesting 4 GPUs. However, due to resource constraints, only 2 GPUs are immediately available. You want the job to automatically start running as soon as the remaining 2 GPUs become available, without manual intervention. How do you configure Run.ai to achieve this?

A. Set the job's 'restartPolicy' to 'Always'.
B. Use Run.ai's 'suspend' and 'resume' commands manually.
C. Set a higher quota for the team.
D. Enable gang scheduling for the job.
E. Configure a lower priority for the job.

Answer: D

Explanation:
Gang scheduling ensures that all requested resources (in this case, all 4 GPUs) are allocated before the job starts. The job will remain in a pending state until all resources are available, and then it will automatically start. 'restartPolicy only applies if a job fails after it has already started. Lower priority would make it less likely to start. Manually suspending and resuming requires intervention. A quota impacts how much you can submit overall, not the allocation of the complete resources requested by a single job.

NEW QUESTION # 12
You are using a custom topology with NVSwitches, and 'nvsm' is not detecting the correct links. You need to manually define the topology. Which of the following is the correct way to provide a custom topology definition to

A. There is no mechanism to manually define the topology for 'nvsm' .
B. Manually configure the NVSwitches through their web interface.
C. Use the 'nvsm -topology-file command to specify the topology at runtime.
D. Modify the 'nvswitchd.conf file.
E. Edit the '/etc/nvsm/nvsm.topology' file with the correct connection definitions.

Answer: E

Explanation:
While the exact file path might vary slightly depending on the distribution and configuration, the standard approach is to define custom topologies in a dedicated topology file (e.g., S/etc/nvsm/nvsm.topology'). The other options are either incorrect or related to other services. 'nvsm' reads the 'nvsm.topology' file at startup.

NEW QUESTION # 13
After successfully creating MIG instances on your NVIDIA A100 GPU, you observe that applications assigned to these instances are not fully utilizing the allocated resources. You suspect that CPU affinity is not properly configured. What steps should you take to ensure optimal CPU affinity for these MIG instances?

A. Rely solely on the operating system's default scheduler to handle CPU affinity.
B. Set CPU affinity to the same core for all MIG instances.
C. Manually assign CPU cores to each MIG instance using the 'taskset' command or similar tools, ensuring that each instance has exclusive access to its assigned cores. Also use numactl.
D. Disable CPU affinity altogether to allow processes to migrate freely across all cores.
E. Increase the priority of all processes running within the MIG instances using the snice' command.

Answer: C

Explanation:
CPU affinity binds processes to specific CPU cores, reducing context switching and improving performance. Manually assigning CPU cores to each MIG instance, ensuring exclusivity, is crucial for optimal resource utilization. 'tasksets and 'numactl' are commonly used tools for this purpose. Options A, C, D, and E would likely lead to performance degradation or resource contention.

NEW QUESTION # 14
Which of the following methods are valid for configuring network settings during cluster provisioning with BCM?

A. Specifying network configuration details (IP addresses, subnet masks, gateway) within the BCM cluster configuration file.
B. Integrating with an existing IPAM (IP Address Management) system via API calls during provisioning.
C. Defining network policies within Kubernetes after the cluster is provisioned.
D. Using DHCP to dynamically assign IP addresses to all nodes.
E. Manually configuring each node's network interface via the command line after OS installation.

Answer: A,B,D

Explanation:
BCM allows specifying network config in its config file, DHCP is a common method, and integrating with an IPAM provides automated address allocation. Manual config is inefficient for large clusters. Kubernetes policies apply after provisioning and address pod networking, not the underlying node network.

NEW QUESTION # 15
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