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NVIDIA AI Infrastructure Sample Questions:

1. In an InfiniBand fabric, what is the primary role of the Subnet Manager (SM) with respect to routing?

A) To monitor the network for congestion and dynamically adjust packet priorities using Quality of Service (QOS) mechanisms.
B) To forward packets based on destination IP addresses, similar to a traditional IP router.
C) To act as a firewall, blocking unauthorized traffic based on pre-defined rules.
D) To discover the network topology, calculate routing paths, and program the forwarding tables (LID tables) in the switches.
E) To provide a command-line interface for users to manually configure routing tables on each InfiniBand switch.

2. You are configuring a BlueField-2 DPU for link aggregation (bonding) with two 25GbE ports. After configuring the bond interface, you notice that traffic is not being distributed across both links. What are the two most likely causes of this issue? (Select TWO)

A) The switch connected to the DPU does not support the bonding mode configured on the DPU.
B) The firewall on the DPU is blocking outgoing traffic on one of the interfaces.
C) The MTU size is different on the bond interface and the physical interfaces.
D) The physical interfaces are not configured with the same speed and duplex settings.
E) The bonding mode is set to 'balance-alb' and the ARP monitoring interval is too high.

3. You have installed the NVIDIA Container Toolkit and are attempting to run a container with GPU support. However, the 'docker run' command fails with an error indicating that the NVIDIA runtime is not found. You have already verified that the NVIDIA Container Toolkit is installed, and the Docker daemon has been restarted. What is the most likely cause of this error?

A) The '/etc/docker/daemon.json' file is missing or has incorrect configuration settings related to the NVIDIA runtime.
B) The 'nvidia-container-runtime' package is not installed.
C) The container image is corrupted and needs to be rebuilt.
D) The system doesn't have a GPU.
E) The NVIDIA driver version is incompatible with the CUDA version specified in the container image.

4. You are setting up a new A1 server with multiple NVIDIA GPUs for deep learning workloads. You need to install the NVIDIA Container Toolkit. After installing the necessary packages using your distribution's package manager, what is the most crucial next step to ensure proper integration with Docker?

A) Reboot the server to load the new kernel modules.
B) Run 'nvidia-ctk runtime configure -runtime=docker' .
C) Run 'nvidia-smr to verify GPU detection. This automatically configures the container runtime.
D) Restart the Docker daemon (e.g., 'systemctl restart docker'
E) Manually create vetc/docker/daemon.json' and add 'nvidia' as a default runtime.

5. You are tasked with replacing a redundant power supply unit (PSU) in a GPU server. The server has two 2000W PSUs. One PSU has failed, but the server is still running. Which of the following actions is the safest and most efficient way to replace the faulty PSU?

A) Immediately power down the server and replace the faulty PSIJ.
B) Document the failure and wait until the remaining PSU fails before taking action.
C) Wait for a scheduled maintenance window to power down the server and replace the PSU.
D) Hot-swap the faulty PSU with a new one while the server is running.
E) Replace the faulty PSU, then reboot the server to ensure the new PSU is working.

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