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NVIDIA AI Infrastructure Sample Questions:

1. You are configuring a network bridge on a Linux host that will connect multiple physical network interfaces to a virtual machine. You need to ensure that the virtual machine receives an IP address via DHCP. Which of the following is the correct command sequence to create the bridge interface 'br0', add physical interfaces 'eth0' and 'eth1' to it, and bring up the bridge interface? Assume the required packages are installed. Consider using 'ip' command.

A)

B)

C)

D)

E)

2. Consider a scenario where you are setting up a high-performance computing cluster with several GPU-accelerated nodes using Slurm as the resource manager. You want to ensure that jobs requesting GPUs are only scheduled on nodes with the appropriate NVIDIA drivers and CUDA toolkit installed. How can you achieve this within Slurm?

A) Use Slurm's 'GresTypeS configuration option in 'slurm.conf to define a generic resource type called 'gpu' and then configure each node to advertise the available GPIJs. Slurm will automatically ensure that jobs requesting GPUs are only scheduled on nodes with the 'gpu' resource.
B) Install the NVIDIA Data Center GPU Manager (DCGM) on each node and configure Slurm to query DCGM for GPU availability and health. Slurm will then only schedule jobs on healthy and available GPUs.
C) Create a custom Slurm script that checks for the presence of the NVIDIA driver and CUDA toolkit before submitting a job to a node. If the requirements are not met, the job is rejected.
D) Utilize Slurm's Prolog and Epilog scripts to dynamically install the necessary NVIDIA drivers and CUDA toolkit on each node before and after a job runs. This ensures that the required software is always available.
E) Use Slurm's node features to tag nodes with the "Feature=' keyword in 'slurm.conf. For example, tag nodes with GPUs as 'Feature=gpu' . Jobs can then request nodes with the 'gpu' feature using the option.

3. You are tasked with deploying a cluster of NVIDIAAIOO GPUs in a high-density server environment. The server chassis has a limited power budget and cooling capacity. Which of the following strategies is MOST effective in validating that the power and cooling infrastructure can adequately support the GPU workload during peak performance, minimizing the risk of thermal throttling and system instability?

A) Simulate the Ai workload with a synthetic benchmark (e.g., Linpack) and extrapolate power consumption based on the benchmark's performance metrics.
B) Observe the GPU clock speeds during a workload. If the clock speeds are at the maximum rated speed, the power and cooling are sufficient.
C) Rely solely on the GPU manufacturer's stated Thermal Design Power (TDP) specifications and allocate power based on these values.
D) Monitor GPU temperature using 'nvidia-smi' during a sustained compute-intensive workload and compare it to the GPU's thermal threshold. If the temperature remains below the threshold, the cooling is adequate.
E) Employ a power monitoring tool (e.g., IPMI, Redfish) to measure the actual power consumption of the server during a stress test that mimics the intended Ai workload. Cross-reference this with the power supply unit's (PSU) rating and the cooling system's capacity.

4. You are running a large-scale distributed training job on a cluster of AMD EPYC servers, each equipped with multiple NVIDIAA100 GPUs. You are using Slurm for job scheduling. The training process often fails with NCCL errors related to network connectivity. What steps can you take to improve the reliability of the network communication for NCCL in this environment? Choose the MOST appropriate answers.

A) Ensure that the InfiniBand or RoCE network is properly configured and that all servers can communicate with each other over the network. Verify the network interface names and IP addresses in the NCCL configuration.
B) Disable the firewall on all servers to allow unrestricted network communication.
C) Increase the 'NCCL CONNECT TIMEOUT and *NCCL TIMEOUT environment variables to allow for longer network delays.
D) Use the Slurm 'srun' command with the '-mpi=pmi2 option to launch the training job. This ensures that Slurm properly initializes the MPl environment and sets the NCCL environment variables.
E) Decrease the batch size to reduce the amount of data transferred over the network.

5. A security policy requires you to log all NGC CLI commands executed on a specific host. How can you achieve this without modifying the NGC CLI source code?

A) Implement system-level auditing using tools like 'auditd' (Linux) or Windows Event Logging to capture all executed commands, including NGC CLI commands.
B) Use the 'history' command in Linux to view the command history for the user account used to execute the NGC CLI commands.
C) Configure the NGC CLI to send all commands to a remote syslog server.
D) NGC CLI automatically logs all commands to a file in the '/var/log/ngc' directory.
E) Create a wrapper script around the 'ngc' command that logs the command and its arguments before executing the actual NGC CLI command.

Solutions: