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NVIDIA AI Infrastructure Sample Questions:

1. During NVLink Switch configuration, you encounter issues where certain GPUs are not being recognized by the system. Which of the following troubleshooting steps are most likely to resolve this problem?

A) Check the Power supply for enough capacity and stability.
B) Ensure that the NVLink Switch firmware is compatible with the installed GPUs.
C) Verify that all NVLink cables are securely connected and properly seated.
D) Reinstall the operating system.
E) Check the system BIOS settings to ensure that NVLink is enabled and configured correctly.

2. Which of the following are key benefits of using NVIDIA Spectrum-X switches in an A1 infrastructure compared to traditional Ethernet switches? (Select THREE)

A) Lower cost per port.
B) Advanced telemetry and monitoring capabilities for network performance optimization.
C) Native support for IPv6.
D) Support for RoCE (RDMA over Converged Ethernet) and InfiniBand protocols, enabling high-bandwidth, low-latency communication.
E) Hardware-based acceleration for collective communication operations used in distributed A1 training.

3. An NVIDIA DGX server with 8 GPUs is experiencing performance issues during a distributed deep learning training run. You suspect a problem with the GPU interconnects. You have already confirmed that NVLink is active. What is the most thorough approach to diagnose potential bandwidth or latency bottlenecks in the GPU-to-GPlJ communication paths?

A) Use 'nvidia-smi topo -m' to visualize the GPU topology and check the reported link speeds. Any links with significantly lower speeds are suspect.
B) Monitor GPU utilization with 'nvidia-smi' during the training run. Uneven utilization across GPUs indicates a potential communication bottleneck.
C) All of the above
D) Run NCCL all-reduce benchmarks (e.g., using the NCCL tests) to measure the actual communication bandwidth between all pairs of GPUs. Compare the results to expected theoretical peak bandwidth.
E) Examine the output of 'dmesg' for any NVLink-related error messages or warnings.

4. Which protocol is commonly used in Spine-Leaf architectures for dynamic routing and load balancing across multiple paths?

A) ECMP (Equal-Cost Multi-Path)
B) VRRP (Virtual Router Redundancy Protocol)
C) STP (Spanning Tree Protocol)
D) BGP (Border Gateway Protocol)
E) OSPF (Open Shortest Path First)

5. You are designing an AI infrastructure cluster for training large language models (LLMs). The dataset consists of 10TB of image data and 5TB of text dat a. You estimate that intermediate training data (checkpoints, temporary files) will require an additional 20TB of storage. You want to use a parallel file system for optimal performance. Considering a replication factor of 2 for data redundancy and a 20% overhead for file system metadata, what is the minimum raw storage capacity you should provision?

A) 100.8 TB
B) 92.4 TB
C) 42 TB
D) 84 TB
E) 70 TB

Solutions: