Updated NVIDIA NCP-AII Exam Question Offer You The Best New Test Notes | NVIDIA AI Infrastructure

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NVIDIA AI Infrastructure Sample Questions (Q221-Q226):

NEW QUESTION # 221
You are deploying an NVIDIA-Certified A1 server. The documentation specifies a minimum airflow requirement for the GPUs. How would you BEST monitor the GPU temperatures and ensure the airflow is adequate during a stress test?

A. Use IPMI sensors to monitor GPU temperature and fan speeds.
B. Use a software utility like 'psensor' to monitor GPU temperature.
C. Use a thermal camera to measure the GPU heatsink temperature.
D. Use 'nvidia-smi' to monitor GPU temperature and visually inspect the fans.
E. Measure the ambient temperature around the server.

Answer: A

Explanation:
IPMI provides remote monitoring of hardware sensors, including GPU temperature and fan speeds, allowing you to ensure the cooling system is working correctly during a stress test. 'nvidia-smi' gives the GPU temp but not the fan speed. Ambient temperature isn't an accurate reflection of the GPU's actual temperature.

NEW QUESTION # 222
Which of the following techniques are effective for improving inter-GPU communication performance in a multi-GPU Intel Xeon server used for distributed deep learning training with NCCL?

A. Disabling CPU frequency scaling to maintain consistent performance.
B. Enabling PCle peer-to-peer transfers between GPUs.
C. Configuring NCCL to use the correct network interface and transport protocol (e.g., 1B, Socket).
D. Increasing the system RAM size to minimize data transfer to disk.
E. Utilizing InfiniBand or RoCE interconnects if available.

Answer: B,C,E

Explanation:
Improving inter-GPU communication involves optimizing the network used for transferring data between GPUs. PCle peer-to-peer, InfiniBand/RoCE, and proper NCCL configuration all contribute to faster communication. Increasing RAM size helps with data caching but doesn't directly affect inter-GPU communication speed. Disabling CPU frequency scaling is about CPU performance stability, not inter-GPU communication directly.

NEW QUESTION # 223
You are monitoring a server with 8 GPUs used for deep learning training. You observe that one of the GPUs reports a significantly lower utilization rate compared to the others, even though the workload is designed to distribute evenly. 'nvidia-smi' reports a persistent "XID 13" error for that GPU. What is the most likely cause?

A. A hardware fault within the GPU, such as a memory error or core failure.
B. The GPU's compute mode is set to 'Exclusive Process'.
C. Insufficient system memory preventing data transfer to that GPU.
D. A driver bug causing incorrect workload distribution.
E. An incorrect CUDA version installed.

Answer: A

Explanation:
XID 13 errors in 'nvidia-smi' typically indicate a hardware fault within the GPU. Driver bugs or memory issues would likely cause different error codes or system instability across multiple GPUs. CUDA version mismatch might prevent the application from running altogether, but is less likely to lead to a specific XID error on a single GPU. Exclusive Process mode will lead to it being used by a different process but not necessarily cause that XID error.

NEW QUESTION # 224
Consider a scenario where you're using GPUDirect Storage to enable direct memory access between GPUs and NVMe drives. You observe that while GPUDirect Storage is enabled, you're not seeing the expected performance gains. What are potential reasons and configurations you should check to ensure optimal GPUDirect Storage performance? Select all that apply.

A. Verify that the NVMe drives are properly configured in a RAID 0 configuration.
B. Check if the file system supports direct I/O (e.g., using 'directio' mount option).
C. Ensure that the NVMe drives are connected to the system via PCle Gen4 or Gen5.
D. Confirm that the CUDA driver version is compatible with GPIJDirect Storage.
E. Disable CPU-side caching to force all I/O operations to go directly to the GPU memory.

Answer: B,C,D

Explanation:
Explanation:GPUDirect Storage requires PCle Gen4/Gen5 for sufficient bandwidth (B). The CUDA driver must be compatible with GPUDirect Storage (C). Direct I/O support in the file system is essential to bypass the OS cache and allow direct GPU access (D). RAID 0 (A) is about storage speed but not directly related to GDS functionality. Disabling CPU-side caching (E) is usually detrimental as it can reduce overall system performance. Note, this is not always bad but needs to be tested depending on application.

NEW QUESTION # 225
You are installing a GPU server in a data center with limited cooling capacity. Which of the following server configuration choices would BEST help minimize the server's thermal output, without significantly compromising performance? Assume all options are compatible.

A. Configure the BIOS/UEFI to aggressively throttle CPU and GPU frequencies under heavy load.
B. Implement liquid cooling for the GPUs and CPUs.
C. Choose GPUs with a lower TDP (Thermal Design Power), even if it means using older generation GPUs.
D. Increase the ambient temperature of the data center to reduce the temperature differential.
E. Use a passively cooled CPU to reduce fan noise and power consumption.

Answer: B

Explanation:
Liquid cooling is the most effective way to remove heat from high-power components like GPUs and CPUs, allowing them to operate at their maximum performance without overheating. Choosing lower TDP GPUs will reduce thermal output but will also significantly reduce performance. Throttle frequency is useful, but liquid cooling enables optimal performance within thermal constraints. Data center should reduce cooling cost but is counter intuitive to reduce server temparature.

NEW QUESTION # 226
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Updated NVIDIA NCP-AII Exam Question Offer You The Best New Test Notes | NVIDIA AI Infrastructure

New NCP-AII Test Notes, NCP-AII Reliable Study Questions

NVIDIA AI Infrastructure Sample Questions (Q221-Q226):

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