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NVIDIA AI Infrastructure Sample Questions:

1. You are tasked with installing NVIDIA GPUs into a server that supports both single and double-width cards. You want to maximize GPU density. What is the MOST important factor to consider when choosing between single and double-width cards?

A) The available PCIe slots and their spacing within the server chassis, and the server's cooling capacity.
B) The brand of the GPUs.
C) The price of the GPUs.
D) The clock speed of the GPUs.
E) The amount of VRAM on the GPUs.

2. Your AI infrastructure includes several NVIDIAAI 00 GPUs. You notice that the GPU memory bandwidth reported by 'nvidia-smi' is significantly lower than the theoretical maximum for all GPUs. System RAM is plentiful and not being heavily utilized. What are TWO potential bottlenecks that could be causing this performance issue?

A) Inefficient data loading from storage to GPU memory.
B) The CPU is using older DDR4 memory with low bandwidth
C) The GPUs are connected via PCle Gen3 instead of PCle Gen4.
D) Insufficient CPU cores assigned to the training process.
E) The NVIDIA drivers are not configured to enable peer-to-peer memory access between GPUs.

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

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

4. You are configuring network fabric ports for NVIDIA GPUs in a server. The GPUs are connected to the network via PCIe. What is the primary factor that determines the maximum achievable bandwidth between the GPUs and the network?

A) The speed of the system's hard drives or SSDs.
B) The color of the Ethernet cables.
C) The amount of system RAM.
D) The clock speed of the CPU.
E) The PCIe generation and number of lanes connecting the GPUs to the network adapter (e.g., PCIe 4.0 x16).

5. A BlueField-3 DPUis configured to run both control plane and data plane functions. After a recent software update, you notice that the data plane performance has significantly degraded, but the control plane remains responsive. What is the MOST likely cause, assuming the update didn't introduce any code bugs, and what is the BEST approach to diagnose this issue?

A) Network misconfiguration; Verify the MTU and QOS settings on the network interfaces.
B) Power throttling; Check the DPU's power consumption and thermal status via the BMC.
C) Driver incompatibility; Downgrade the Mellanox OFED drivers to the previous version.
D) Firmware corruption; Re-flash the BlueField DPIJ with the latest firmware image.
E) Resource contention; Use 'perf or 'bpftrace' to profile the data plane processes and identify resource bottlenecks (CPU, memory, cache).

Solutions: