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最新的 NVIDIA-Certified Professional NCP-AII 免費考試真題:

1. After installing a new NVIDIA GPU in an AI server, you run 'nvidia-smi' and receive the error 'NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.' You have verified the driver is installed. What is the MOST likely cause?

A) The secure boot is enabled preventing the driver from initializing.
B) The GPU is not properly seated in the PCIe slot.
C) The system BIOS needs to be updated.
D) The power supply is insufficient to power the GPU.
E) The wrong driver version is installed for the installed CUDA version.

2. You are running a distributed training job across multiple nodes, using a shared file system for storing training dat a. You observe that some nodes are consistently slower than others in reading data. Which of the following could be contributing factors to this performance discrepancy? Select all that apply.

A) Variations in the speed of the local temporary storage (e.g., /tmp) used for intermediate files.
B) Network congestion between the slower nodes and the storage system.
C) Different CPU architectures on the nodes.
D) Insufficient RAM on the slower nodes for caching data.
E) Uneven data distribution across the storage nodes.

3. You need to configure persistent network settings on your BlueField SmartNIC after deploying BlueField OS. Which file should you modify to ensure these settings are applied after each reboot, assuming a Debian-based distribution?

A) /etc/network/interfaces
B) /etc/sysconfig/network-scripts/ifcfg-
C) /etc/dhcp/dhclient.conf
D) /etc/resolv.conf
E) /etc/hostname

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

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

問題與答案：