New NCP-AII Dumps (V8.02) Become the Preferred Choice for Making Preparations: Check the NVIDIA NCP-AII Free Dumps (Part 1, Q1-Q40)

1. Consider the following *iptables’ rule used in an A1 inference server.

What is its primary function?

iptables -A INPUT -p tcp --dport 8080 -j ACCEPT

2. You are designing a storage solution for a new AI inference cluster that requires extremely low latency for model serving.

Which storage technology and configuration would be MOST suitable to meet this stringent latency requirement?

3. An InfiniBand fabric is experiencing intermittent packet loss between two high-performance compute nodes. You suspect a faulty cable or connector.

Besides physically inspecting the cables, what software-based tools or techniques can you employ to diagnose potential link errors contributing to this packet loss?

4. You have a server equipped with multiple NVIDIA GPUs connected via NVLink. You want to monitor the NVLink bandwidth utilization in real-time.

Which tool or method is the most appropriate and accurate for this?

5. Which of the following are key considerations when choosing between CPU pinning and NUMA (Non-Uniform Memory Access) awareness for a distributed training job on a multi-socket AMD EPYC server with multiple GPUs?

6. Consider a scenario where you are running a CUDA application on an NVIDIA GPU. The application compiles successfully but crashes during runtime with a *CUDA ERROR ILLEGAL ADDRESS* error. You’ve carefully reviewed your code and can’t find any obvious out- of-bounds memory accesses.

What advanced debugging techniques could help you pinpoint the source of this error?

7. Which of the following is a primary benefit of using a CLOS network topology (e.g., Spine-Leaf) in a data center?

8. Your A1 inference server utilizes Triton Inference Server and experiences intermittent latency spikes. Profiling reveals that the GPU is frequently stalling due to memory allocation issues.

Which strategy or tool would be least effective in mitigating these memory allocation stalls?

9. Consider the following ‘ibroute’ command used on an InfiniBand host: ‘ibroute add dest Oxla dev ib0’.

What is the MOST likely purpose of this command?

10. You’re configuring a RoCEv2 network for your AI infrastructure.

Which UDP port number range is commonly used for RoCEv2 traffic, and why is it important to be aware of this?

11. In a large-scale InfiniBand fabric, you need to implement a mechanism to prioritize traffic for a specific application that requires low latency and high bandwidth. You want to leverage Quality of Service (QOS) to achieve this.

Which of the following steps are essential to properly configure QOS in this scenario? (Select THREE)

12. You are tasked with optimizing an Intel Xeon scalable processor-based server running a TensorFlow model with multiple NVIDIA GPUs.

You observe that the CPU utilization is low, but the GPU utilization is also not optimal. The profiler shows significant time spent in ‘tf.data’ operations.

Which of the following actions would MOST likely improve performance?

13. You are configuring a switch port connected to a host in an NCP-AII environment. The host is running RoCEv2.

To optimize performance and prevent packet loss, which flow control mechanism should you enable on the switch port?

14. You are troubleshooting performance issues in an A1 training clusten You suspect network congestion.

Which of the following network monitoring tools would be MOST helpful in identifying the source of the congestion?

15. You are designing a network for a distributed training job utilizing multiple GPUs across multiple nodes.

Which network characteristic is MOST critical for minimizing training time?

16. Consider a scenario where you are setting up a high-performance computing cluster with several GPU-accelerated nodes using Slurm as the resource manager. You want to ensure that jobs requesting GPUs are only scheduled on nodes with the appropriate NVIDIA drivers and CUDA toolkit installed.

How can you achieve this within Slurm?

17. 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?

18. You are planning the network infrastructure for a DGX SuperPOD. You need to ensure that the network fabric can handle the high bandwidth and low latency requirements of A1 training workloads.

Which network technology is the RECOMMENDED choice for interconnecting the DGX nodes within the SuperPOD, and why?

19. During NVLink Switch configuration, you encounter issues where certain GPUs are not being recognized by the system.

Which of the following troubleshooting steps are most likely to resolve this problem?

20. Which of the following are key benefits of using NVIDIA NVLink� Switch in a multi-GPU server setup for AI and deep learning workloads?

21. You’re working with a large dataset of microscopy images stored as individual TIFF files. The images are accessed randomly during a training job. The current storage solution is a single HDD. You’re tasked with improving data loading performance.

Which of the following storage optimizations would provide the GREATEST performance improvement in this specific scenario?

22. You are troubleshooting slow I/O performance in a deep learning training environment utilizing BeeGFS parallel file system. You suspect the metadata operations are bottlenecking the training process.

How can you optimize metadata handling in BeeGFS to potentially improve performance?

23. A user reports that their GPU-accelerated application is crashing with a CUDA error related to ‘out of memory’. You have confirmed that the GPU has sufficient physical memory.

What are the likely causes and troubleshooting steps?

24. A large A1 model is training using a dataset stored on a network-attached storage (NAS) device. The data transfer speeds are significantly lower than expected. After initial troubleshooting, you discover that the MTU (Maximum Transmission Unit) size on the network interfaces of the training server and the NAS device are mismatched. The server is configured with an MTIJ of 1500, while the NAS device is configured with an MTU of 9000 (Jumbo Frames).

What is the MOST likely consequence of this MTU mismatch, and what action should you take?

25. What is the role of GPUDirect RDMA in an NVLink Switch-based system, and how does it improve performance?

26. You need to verify the NVLink connectivity between GPUs in a DGX server.

Which command-line utility is the MOST reliable and provides detailed NVLink status?

27. You are tasked with replacing a redundant power supply unit (PSU) in a GPU server. The server has two 2000W PSUs. One PSU has failed, but the server is still running.

Which of the following actions is the safest and most efficient way to replace the faulty PSU?

28. You’re troubleshooting a DGX-I server exhibiting performance degradation during a large-scale distributed training job. ‘nvidia-smü shows all GPUs are detected, but one GPU consistently reports significantly lower utilization than the others. Attempts to reschedule orkloads to that GPU frequently result in CUDA errors.

Which of the following is the MOST likely cause and the BEST initial roubleshooting step?

29. You are configuring network fabric ports for NVIDIA GPUs in a server. The GPUs are connected to the network via PCIe.

What is the primary factor that determines the maximum achievable bandwidth between the GPUs and the network?

30. A user reports that their deep learning training job is crashing with a ‘CUDA out of memory’ error, even though ‘nvidia-smi’ shows plenty of free memory on the GPU. The job uses TensorFlow.

What are the TWO most likely causes?

31. Which of the following is the MOST important reason for using a dedicated storage network (e.g., InfiniBand or RoCE) for AI/ML workloads compared to using the existing Ethernet network?

32. You are troubleshooting a network performance issue in your NVIDIA Spectrum-X based A1 cluster. You suspect that the Equal-Cost Multi-Path (ECMP) hashing algorithm is not distributing traffic evenly across available paths, leading to congestion on some links.

Which of the following methods would be MOST effective for verifying and addressing this issue?

33. You are running a distributed training job across multiple nodes, using a shared file system for storing training data. 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.

34. You have a large dataset stored on a network file system (NFS) and are training a deep learning model on an AMD EPYC server with NVIDIA GPUs. Data loading is very slow.

What steps can you take to improve the data loading performance in this scenario? Select all that apply.

35. In a data center utilizing NVIDIA GPUs and NVLink, what is the primary advantage of using a direct-attached NVLink network topology compared to routing traffic over the network?

36. You are setting up a virtualized environment (using VMware vSphere) to run GPU-accelerated workloads. You have multiple physical GPUs in your server and want to assign specific GPUs to different virtual machines (VMs) for dedicated access.

Which vSphere technology would BEST support this?

37. You are deploying a new NVLink Switch based cluster. The GPUs are installed in different servers, but need to be configured to utilize

NVLink interconnect.

Which of the following should be performed during the installation phase to confirm correct configuration?

38. You are replacing a faulty NVIDIA Tesla V 100 GPU in a server. After physically installing the new GPU, the system fails to recognize it. You’ve verified the power connections and seating of the card.

Which of the following steps should you take next to troubleshoot the issue?

39. After replacing a faulty NVIDIA GPU, the system boots, and ‘nvidia-smi’ detects the new card. However, when you run a CUDA program, it fails with the error "‘no CUDA-capable device is detected’". You’ve confirmed the correct drivers are installed and the GPU is properly seated.

What’s the most probable cause of this issue?

40. You’ve replaced a faulty NVIDIA Quadro RTX 8000 GPU with an identical model in a workstation. The system boots, and ‘nvidia-smi’ recognizes the new GPU. However, when rendering complex 3D scenes in Maya, you observe significantly lower performance compared to before the replacement. Profiling with the NVIDIA Nsight Graphics debugger shows that the GPU is only utilizing a small fraction of its available memory bandwidth.

What are the TWO most likely contributing factors?