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NVIDIA AI Infrastructure Sample Questions:

1. You're monitoring the storage I/O for an AI training workload and observe high disk utilization but relatively low CPU utilization. Which of the following actions is LEAST likely to improve the performance of the training job?

A) Adding more RAM to the system.
B) Implementing data prefetching to load data into memory before it's needed.
C) Switching from HDDs to NVMe SSDs.
D) Increasing the batch size of the training job.
E) Reducing the number of parallel data loading threads.

2. A developer reports that their CUDA application running on a MIG instance is experiencing significantly reduced memory bandwidth compared to running on a full GPU. What are the potential causes for this performance bottleneck? (Select all that apply)

A) The MIG instance has a smaller memory allocation compared to the full GPIJ, thus limiting the application's memory footprint.
B) The application is not optimized to take advantage of the MIG instance's specific memory bandwidth limitations.
C) The application is exceeding the memory capacity of the MIG instance, leading to excessive swapping.
D) The CUDA driver version is not compatible with the MIG configuration, resulting in reduced performance.
E) MIG instances inherently provide higher memory bandwidth due to their partitioned nature, so this report must be incorrect.

3. Which command-line tool is typically used to monitor the status and performance of an NVIDIA NVLink Switch?

A) ibstat
B) rocminfo
C) nvidia-smi
D) Ispci
E) nvswitch-cli

4. You are setting up network fabric ports for hosts in an NVIDIA-Certified Professional A1 Infrastructure (NCP-AII) environment. You need to configure Jumbo Frames to improve network throughput. What is the typical MTU (Maximum Transmission Unit) size you would set on the network interfaces and switches, and why?

A) Any MTU size between 1500 and 9000 bytes; the specific value doesn't matter.
B) 1500 bytes, as it's the default and compatible with most networks.
C) 65535 bytes, the theoretical maximum MTU size, for maximum performance.
D) 9000 bytes, also known as Jumbo Frames, reduces overhead and improves throughput for large data transfers.
E) 576 bytes, the minimum MTU size required by IPv4.

5. You are setting up a multi-node A1 cluster with NVIDIA GPUs and InfiniBand for inter-node communication. You need to ensure the InfiniBand network is functioning optimally for GPU-accelerated workloads. What steps would you take to validate the InfiniBand installation and performance?

A) Verify the InfiniBand drivers are installed and then run a standard TCP benchmark between the nodes.
B) Run 'ibstat' to check InfiniBand interface status, use 'ibping' and 'ibperf to test latency and bandwidth, and verify correct NCCL configuration (e.g., during a distributed training run.
C) Use 'nvidia-smi' to monitor InfiniBand traffic, and rely on CUDA-aware MPl for communication validation.
D) Run 'ibstat' to check InfiniBand interface status, use 'ping' to test connectivity, and rely on NCCL's internal checks during training.
E) Configure a static IP address on the InfiniBand interfaces, and rely on the operating system's network diagnostics.

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