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NVIDIA AI Infrastructure Sample Questions (Q49-Q54):

NEW QUESTION # 49
You are installing eight NVIDIAAIOO GPUs in a server designed for maximum performance. The server supports NVLink. Which of the following actions will BEST improve the inter-GPU communication bandwidth?

A. Only installing four of the eight GPUs to reduce the total number of connections needed.
B. Using a standard PCIe riser card for all GPUs.
C. Installing the GPUs in PCIe Gen3 slots instead of PCIe Gen4 slots.
D. Disabling NVLink in the BIOS/UEFI settings.
E. Ensuring the GPUs are placed in slots that support NVLink bridges and that the bridges are properly installed.

Answer: E

Explanation:
NVLink provides significantly higher bandwidth than PCle for inter-GPIJ communication. Installing the GPUs in slots that support NVLink and properly installing the NVLink bridges will enable this faster communication. PCle Gen4 is better than Gen3. Riser cards don't improve communication bandwidth. Disabling NVLink negates its benefits. Removing GPUs reduces overall performance.

NEW QUESTION # 50
You've installed a new NVIDIA GPU in your A1 server. After the installation and driver setup, you notice that while 'nvidia-smi' recognizes the GPU, the available memory reported is significantly lower than the GPU's specifications. What are the potential root causes and how would you systematically troubleshoot this?

A. The system BIOS is incorrectly configured, limiting GPU memory allocation.
B. The driver is not correctly installed. Reinstall the latest NVIDIA driver.
C. The integrated graphics is using a significant amount of system memory, reducing what's available to the GPU. Disable the integrated graphics in the BIOS.
D. The GPU is faulty and needs to be replaced.
E. The reported memory is the currently allocated memory, not the total available. Run a CUDA program to allocate more memory and observe the change.

Answer: C

Explanation:
Integrated graphics stealing system memory is a common cause, and disabling it frees up resources for the dedicated GPU. While a faulty GPU, BIOS settings, or driver issues are possibilities, integrated graphics is a more likely and easily verifiable cause. The reported memory is the total usable, not just allocated.

NEW QUESTION # 51
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 wrong driver version is installed for the installed CUDA version.
B. The system BIOS needs to be updated.
C. The power supply is insufficient to power the GPU.
D. The secure boot is enabled preventing the driver from initializing.
E. The GPU is not properly seated in the PCIe slot.

Answer: E

Explanation:
A poorly seated GPU often leads to communication failures between the driver and the card. While power, BIOS, and driver versions can be issues, a seating problem is the most common first suspect. Secure boot issues are also possible.

NEW QUESTION # 52
You observe the following output from 'nvidia-smi' on a server running a large Ai training job:

What does the 'ClocksThrottleReasons.ThermalSlowdown: Active' indicate, and what immediate action should you take?

A. The GPU is operating at its maximum power limit, and no action is needed.
B. The GPU's clock speeds are being reduced to prevent overheating. Investigate the cooling system and reduce the GPU workload.
C. The GPU driver is outdated and needs to be updated to improve thermal management.
D. The GPU's power draw is exceeding its thermal design power (TDP). Reconfigure the power supply.
E. The ambient temperature in the server room is too low, causing the GPU to underperform.

Answer: B

Explanation:
'ClocksThrottleReasons.ThermalSlowdown: Active means the GPU is throttling its clock speeds because it's overheating. The immediate action is to investigate the cooling system (fans, liquid cooling, airflow) and potentially reduce the GPU workload to lower its temperature.

NEW QUESTION # 53
A DGX A100 server with dual power supplies reports a critical power event in the BMC logs. One PSU shows a 'degraded' status, while the other appears normal. What immediate actions should you take to ensure continued operation and prevent data loss?

A. Monitor the remaining PSU's load and temperature closely; if stable, continue operation until a scheduled maintenance window.
B. Reduce the GPU power limit using 'nvidia-smi' to decrease the overall power consumption of the server.
C. Migrate all workloads to other servers in the cluster to minimize the impact of a potential complete PSU failure.
D. Hot-swap the degraded PSU with a replacement unit.
E. Immediately shut down the server gracefully to prevent further damage to the faulty PSIJ.

Answer: C,D

Explanation:
Hot-swapping the degraded PSU (B) restores redundancy. Migrating workloads (E) minimizes the risk of data loss or service interruption if the remaining PSU fails. Shutting down the server (A) causes unnecessary downtime if hot-swapping is possible. Monitoring the remaining PSU (C) is a good practice, but it's not a replacement for restoring redundancy or mitigating risk. Reducing GPU power limits (D) may help prevent further strain but is a temporary solution that impacts performance.

NEW QUESTION # 54
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NCP-AII PDF Dumps Files & NCP-AII Vce Files

NCP-AII Vce Files, NCP-AII Valid Test Voucher

NVIDIA AI Infrastructure Sample Questions (Q49-Q54):

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