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NVIDIA AI Operations Sample Questions (Q197-Q202):

NEW QUESTION # 197
You are deploying BCM on a Kubernetes cluster that utilizes a custom ingress controller What configuration changes might be necessary to ensure external access to the BCM web interface?

A. Modify the BCM service type to 'LoadBalancer'.
B. Create a custom resource definition (CRD) for BCM in the ingress controller.
C. Update the BCM Helm chart to automatically configure the ingress controller.
D. Disable the default ingress controller and use the custom ingress controller exclusively.
E. Configure the ingress controller to forward traffic to the BCM service on the appropriate port (typically 3000).

Answer: E

Explanation:
The primary configuration change required is to configure the ingress controller to forward traffic to the BCM service. This typically involves creating an ingress resource that defines the hostname and path for accessing the BCM web interface and maps it to the BCM service on the correct port (usually 3000). Changing the service type to 'LoadBalancer' might work, but it's less flexible and might not be compatible with all ingress controllers. Custom CRDs and disabling the default controller are generally unnecessary.

NEW QUESTION # 198
You are tasked with implementing data versioning and reproducibility for AI experiments. Which storage features or technologies are most relevant?

A. Encryption for security
B. Integration with version control systems like Git for data.
C. Replication for disaster recovery
D. Snapshots and cloning capabilities of the storage system.
E. Data compression algorithms for minimizing storage footprint.

Answer: B,D

Explanation:
Snapshots and cloning allow you to create consistent copies of data at specific points in time, facilitating reproducibility. Integrating with version control systems enables tracking changes to data and code together, ensuring experiments can be recreated accurately. While compression, replication, and encryption are important, they are not directly related to versioning and reproducibility.

NEW QUESTION # 199
You are using NVIDIA Data Center GPU Manager (DCGM) to monitor your GPU cluster. You want to configure DCGM to automatically alert you when the GPU temperature exceeds a critical threshold. Which DCGM feature is MOST appropriate for this task?

A. DCGM Health Checks
B. DCGM Telemetry
C. DCGM Profiler
D. DCGM Group Management
E. DCGM Policy Management

Answer: E

Explanation:
DCGM Policy Management allows you to set thresholds and actions (such as alerts) based on GPIU metrics like temperature. Health Checks perform diagnostics, Telemetry provides monitoring data, Profiler analyzes performance, and Group Management organizes GPUs.

NEW QUESTION # 200
Consider the following code snippet using NVSHMEM:
If this program hangs indefinitely after 'nvshmem_barrier all()' inside the 'if (my_pe 0)' block, what is the MOST likely cause?

A. Incorrect use of 'MPl Barrier'.
B. Incorrect use of 'CUDA VISIBLE DEVICES'
C. Memory corruption in 'nvshmem_malloc' .
D. PE 0 is waiting for other PEs to complete within the loop, but other PEs have already finished and finalized.
E. Deadlock due to insufficient NVLink bandwidth.

Answer: D

Explanation:
The issue is a classic synchronization problem. PE 0 is the only PE entering the loop, and it calls to get the values from other PEs. However, the other PEs have already proceeded past the first , executed , and potentially even before PE 0 attempts to read their values. Thus, PE 0 is waiting for PEs that are no longer in a state to respond. MPI_Barrier isn't the issue, nor is NVLink bandwidth. Memory corruption or CUDA_VISIBLE_DEVICES issues would likely cause crashes, not hangs at this specific point.

NEW QUESTION # 201
You have a hybrid environment with some GPUs connected via NVLink and others connected via PCle. You want to use 'nvsm' to manage only the NVLink fabric. How can you configure 'nvsm' to ignore the PCle-connected GPUs?

A. There is no way to configure 'nvsm' to ignore specific GPUs.
B. Update the system BIOS to disable the PCle slots.
C. Configure a whitelist in 'nvsm.conf to include only the NVLink devices by their NVLink IDs.
D. Use the 'nvsm -ignore-pcie' command-line option when starting the service.
E. Configure a blacklist in 'nvsm.conf to exclude the PCle devices by their PCl IDs.

Answer: E

Explanation:
Typically, you can configure 'nvsm' to ignore specific GPUs by creating a blacklist in the 'nvsm.conf file. This blacklist would contain the PCI IDs of the PCIe-connected GPUs. 'nvsm' is designed to manage fabric links. 'nvsm' does not have a command line option to ignore PCle connected GPUs.

NEW QUESTION # 202
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