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Prep NCP-AII Guide - Certification NCP-AII Exam Dumps
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NVIDIA AI Infrastructure Sample Questions (Q231-Q236):
NEW QUESTION # 231
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's power draw is exceeding its thermal design power (TDP). Reconfigure the power supply.
- B. The GPU's clock speeds are being reduced to prevent overheating. Investigate the cooling system and reduce the GPU workload.
- C. The GPU is operating at its maximum power limit, and no action is needed.
- D. The ambient temperature in the server room is too low, causing the GPU to underperform.
- E. The GPU driver is outdated and needs to be updated to improve thermal management.
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 # 232
You are tasked with upgrading the NVIDIA driver on a Kubernetes node hosting GPU-accelerated A1 workloads. To minimize downtime and ensure a smooth transition, which sequence of steps should you follow?
- A. Upgrade the driver directly on the node, reboot the node, and let Kubernetes automatically reschedule the workloads.
- B. Delete all pods running on the node, upgrade the driver, reboot the node, and recreate the pods.
- C. Cordon the node, upgrade the driver, reboot the node, and uncordon it.
- D. Upgrade the NVIDIA container toolkit, then upgrade the driver, reboot the node, and uncordon it.
- E. Drain the node, upgrade the driver, reboot the node, and uncordon it.
Answer: C
Explanation:
Cordoning the node prevents new pods from being scheduled on it. After upgrading the driver and rebooting, uncordoning the node allows Kubernetes to resume scheduling workloads. Draining the node before upgrading can cause unnecessary downtime if pods are migrated before the upgrade process starts. The NVIDIA container toolkit must be compatible to the NVIDIA driver, but the upgrade sequence follows Option C steps.
NEW QUESTION # 233
A data scientist reports that training performance on a DGX A100 server has significantly degraded over the past week. 'nvidia-smi' shows all GPUs functioning, but 'nvprof' reveals substantially increased 'cudaMemcpy' times. What is the MOST likely bottleneck?
- A. The GPUs are overheating, causing thermal throttling and slower memory transfers.
- B. The storage system is slow, delaying data loading and preprocessing.
- C. The PCle bus is saturated, limiting data transfer speeds between the CPU and GPUs.
- D. The NVLink connections between GPUs are failing, forcing data transfers through PCle.
- E. The CPU is heavily loaded, causing contention for system memory bandwidth.
Answer: E
Explanation:
Increased ScudaMemcpy' times indicate a bottleneck in data transfer between the CPU and GPIJs or within the GPU memory itself. While PCle saturation or failing NVLink connections could contribute, a heavily loaded CPU is often the primary culprit. CPU-bound preprocessing tasks or general system load can create contention for system memory, slowing down data movement to the GPUs. The NVLink being used is less likely because 'nvidia-smi' would likely report errors or lower speeds between the GPUs
NEW QUESTION # 234
When deploying BlueField OS using PXE boot, which of the following files on the PXE server is responsible for specifying the kernel, initrd, and device tree files to be loaded by the client?
- A. pxelinux.cfg/default
- B. tftpboot/lpxelinux.0
- C. tftpboot/pxelinux.0
- D. /boot/grub/grub.cfg
- E. dhcpd .conf
Answer: A
Explanation:
The 'pxelinux.cfg/default' file (or a similar configuration file based on the client's MAC address or IP address) contains the configuration directives for the PXE bootloader, including specifying the kernel, initrd, and device tree files. 'dhcpd.conf is for DHCP server configuration, 'pxelinux.ff is the PXE bootloader itself, and '/boot/grub/grub.cfg' is a GRUB configuration file, usually on the client's disk.
NEW QUESTION # 235
You are designing a storage solution for a cluster used for both training and inference. Training requires high throughput, while inference requires low latency. How should you architect the storage to meet both requirements efficiently ?
- A. Use a tiered storage system with a fast tier (e.g., NVMe SSDs) for inference and a separate high-throughput parallel file system for training
- B. Use a single storage tier optimized for training (high throughput)
- C. Use cloud storage for both training and inference
- D. Use a single storage tier optimized for inference (low latency)
- E. Use a tiered storage system with a fast tier (e.g., NVMe SSDs) for inference and a slower, cheaper tier (e.g., HDDs) for training data storage
Answer: A
Explanation:
A tiered storage system with NVMe SSDs for inference ensures low latency for serving models. A separate high-throughput parallel file system optimizes training data access. This allows efficient utilization of resources for both workloads. Using a single tier optimized for one workload will compromise the other's performance. HDDs for training might be too slow for large datasets.
NEW QUESTION # 236
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