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NVIDIA AI Infrastructure Sample Questions (Q263-Q268):

NEW QUESTION # 263
You are managing a cluster of GPU servers for deep learning. You observe that one server consistently exhibits high GPU temperature during training, causing thermal throttling and reduced performance. You've already ensured adequate airflow. Which of the following actions would be MOST effective in addressing this issue?

A. Increase the fan speed of the GPU cooler using 'nvidia-smi --fan'.
B. Re-seat the GPU in its PCle slot to ensure proper contact and heat dissipation.
C. Lower the GPU power limit using 'nvidia-smi -power-limit*.
D. Reduce the ambient temperature of the data center.
E. Update the NVIDIA drivers to the latest version.

Answer: A,B

Explanation:
Re-seating the GPU (D) ensures a proper connection between the GPU and the motherboard, which is crucial for effective heat dissipation. Increasing fan speed (E) can directly improve cooling. Lowering the power limit (B) reduces temperature but also reduces performance. Updating drivers (C) may help in some cases, but it is less likely to solve a thermal throttling problem. Lowering the ambient temperature (A) is generally beneficial but might not be specific enough to fix the overheating issue on a single server.

NEW QUESTION # 264
You are using NVIDIA Spectrum-X switches in your A1 infrastructure. You observe high latency between two GPU servers during a large distributed training job. After analyzing the switch telemetry, you suspect a suboptimal routing path is contributing to the problem. Which of the following methods offers the MOST granular control for influencing traffic flow within the Spectrum-X fabric to mitigate this?

A. Implement Adaptive Routing (AR) or Dynamic Load Balancing (DLB) features available on the Spectrum-X switches to dynamically adjust paths based on network conditions.
B. Adjust the Equal-Cost Multi-Path (ECMP) hashing algorithm globally on all switches.
C. Configure QOS (Quality of Service) policies to prioritize traffic from the high-latency GPU servers.
D. Manually configure static routes on the Spectrum-X switches to force traffic between the GPU servers along a specific path.
E. Disable IPv6 to simplify routing decisions.

Answer: A

Explanation:
Adaptive Routing (AR) and Dynamic Load Balancing (DLB) are features specifically designed to dynamically adjust paths based on real-time network conditions in Spectrum-X. This provides the most granular and automated way to respond to congestion and optimize traffic flow compared to static routing or global ECMP adjustments. QOS prioritizes, but doesn't change the chosen path.

NEW QUESTION # 265
You have a server with two NVIDIA GPUs connected via NVLink. You want to verify that NVLink is functioning correctly. Which command(s) or tool(s) can you use to check the NVLink status and bandwidth?

A. 'nvidia-settings' (GUI tool)
B. nvcc -version'
C. Ispci'
D. 'nvidia-smi nvlink -statue
E. 'nvidia-smi topo -m'

Answer: D,E

Explanation:
'nvidia-smi nvlink -statuS provides a direct overview of the NVLink status, including link speed and errors. 'nvidia-smi topo shows the topology of the GPUs and how they are connected, including NVLink connections. 'Ispci' lists PCl devices but doesn't provide NVLink- specific information. 'nvcc -version' checks the CUDA compiler version. 'nvidia-settings' is a GUI tool that can display some information, but it's less precise than 'nvidia-smr for NVLink status.

NEW QUESTION # 266
You encounter a situation where an NVIDIA driver installation fails with the error message 'ERROR: Unable to load the kernel module 'nvidia.ko'. This may be because it was built for another kernel...'. Assuming the kernel headers are correctly installed, what is the most likely cause and solution?

A. Secure Boot is enabled, and the NVIDIA kernel module is not signed. Solution: Sign the NVIDIA kernel module with a machine owner key (MOK).
B. The 'nouveau' driver is still loaded. Solution: Blacklist 'nouveau- and reboot.
C. The system is running out of disk space in '/tmp'. Solution: Free up space or remount S/tmp' with more space.
D. The NVIDIA driver version is incompatible with the current kernel version. Solution: Install a compatible driver version.
E. The DKMS module build failed. Solution: Manually rebuild the DKMS module using 'dkms autoinstall'.

Answer: A,D,E

Explanation:
The error message indicates a mismatch between the driver and kernel. This can happen due to incompatibility, unsigned modules due to Secure Boot, or a failed DKMS build. Installing a compatible version, MOK signing, and rebuilding DKMS are valid solutions. While nouveau can interfere, the error message points specifically to a module loading problem, making the other options more likely. Lack of disk space is a less common, but possible, issue.

NEW QUESTION # 267
You are designing a large-scale AI training cluster spanning multiple racks. The networking topology necessitates both short-reach (within rack) and long-reach (inter-rack) connections. Which combination of cable types and transceivers is MOST cost-effective and suitable for this scenario, assuming a mix of 200GbE and 400GbE links?

A. Passive copper cables for all intra-rack connections and ER4 transceivers with single-mode fiber for all inter-rack connections.
B. DAC cables for all intra-rack connections and FR4 transceivers with single-mode fiber for inter-rack connections.
C. DAC cables for all intra-rack connections, and a mix of SR4 and LR4 transceivers with multimode and single-mode fiber, respectively, for inter-rack connections.
D. AOC cables for all connections, both intra-rack and inter-rack.
E. DAC cables for all intra-rack connections and AOC cables for all inter-rack connections.

Answer: C

Explanation:
DAC cables are cost-effective and suitable for short-reach, high-bandwidth connections within a rack. For inter-rack connections, SR4 transceivers with multimode fiber (for shorter inter-rack links) and LR4 transceivers with single-mode fiber (for longer inter-rack links) provide a good balance of cost and performance. AOCs are generally more expensive than DACs. ER4 is overkill for many inter-rack scenarios and is more expensive than LR4.

NEW QUESTION # 268
......

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