Passing Your NCP AI Infrastructure Exam with the Updated NCP-AII Dumps (V9.03): Continue to Check Our NCP-AII Free Dumps (Part 2, Q41-Q80) Online

1. A data center is designed for A1 training with a high degree of east-west traffic. Considering cost and performance, which network topology is generally the most suitable?

2. Which of the following are valid methods for verifying the health and connectivity of InfiniBand links in an NCP-AII environment? (Select TWO)

3. You’re optimizing an AMD EPYC server with 4 NVIDIAAIOO GPUs for a large language model training workload. You observe that the GPUs are consistently underutilized (50-60% utilization) while the CPUs are nearly maxed out.

Which of the following is the MOST likely bottleneck?

4. 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?

5. Given the following ‘nvswitch-cli’ output, what does the ‘Link Speed’ indicate, and what potential bottleneck might a low ‘Link Speed’ suggest?

6. In an InfiniBand fabric, what is the primary role of the Subnet Manager (SM) with respect to routing?

7. You are tasked with ensuring optimal power efficiency for a GPU server running machine learning workloads. You want to dynamically adjust the GPU’s power consumption based on its utilization.

Which of the following methods is the MOST suitable for achieving this, assuming the server’s BIOS and the NVIDIA drivers support it?

8. Which of the following statements are true regarding the use of Congestion Management (CM) and Congestion Avoidance (CA) techniques within an InfiniBand fabric using NVIDIA technology? (Select TWO)

9. 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?

10. 1.A GPU in your AI server consistently overheats during inference workloads. You’ve ruled out inadequate cooling and software bugs.

Running ‘nvidia-smi’ shows high power draw even when idle.

Which of the following hardware issues are the most likely causes?

11. 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?

12. You’re optimizing an Intel Xeon server with 4 NVIDIA GPUs for inference serving using Triton Inference Server. You’ve deployed multiple models concurrently. You observe that the overall throughput is lower than expected, and the GPU utilization is not consistently high.

What are potential bottlenecks and optimization strategies? (Select all that apply)

13. When setting up a multi-server, multi-GPU environment using NVLink switches, what is the primary consideration when planning the network topology for optimal performance?

14. You are deploying a new A1 inference service using Triton Inference Server on a multi-GPU system. After deploying the models, you observe that only one GPU is being utilized, even though the models are configured to use multiple GPUs.

What could be the possible causes for this?

15. You are setting up network fabric ports for hosts in an NVIDIA-Certified Professional A1 Infrastructure (NCP-AII) environment. You need to configure Jumbo Frames to improve network throughput.

What is the typical MTU (Maximum Transmission Unit) size you would set on the network interfaces and switches, and why?

16. 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?

17. You observe high latency and low bandwidth between two GPUs connected via an NVLink switch. You suspect a problem with the NVLink link itself.

Which of the following methods would be the most effective in diagnosing the physical NVLink link health?

18. 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?

19. You are configuring a server with multiple GPUs for CUDA-aware MPI.

Which environment variable is critical for ensuring proper GPU affinity, so that each MPI process uses the correct GPU?

20. 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)

21. Which of the following are key benefits of using NVIDIA Spectrum-X switches in an A1 infrastructure compared to traditional Ethernet switches? (Select THREE)

22. Consider an AMD EPYC-based server with 8 NVIDIAAIOO GPUs connected via PCle Gen4. You’re running a distributed training job using Horovod. You’ve noticed that communication between GPUs is a bottleneck.

Which of the following NCCL configuration options would be MOST beneficial in this scenario? (Assume all options are syntactically correct for NCCL).

23. 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.

24. You are tasked with configuring an NVIDIA NVLink� Switch system. After physically connecting the GPUs and the switch, what is the typical first step in the software configuration process?

25. 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?

26. You are troubleshooting a performance issue on an Intel Xeon server with NVIDIAAI 00 GPUs. Your application involves frequent data transfers between CPU memory and GPU memory. You suspect that the PCle bus is a bottleneck.

How can you verify and mitigate this bottleneck?

27. 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?

28. 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?

29. You are configuring an InfiniBand subnet with multiple switches. You need to ensure that traffic between two specific nodes always takes the shortest path, bypassing a potentially congested link.

Which of the following approaches is MOST effective for achieving this using InfiniBand’s routing capabilities?

30. You have an Intel Xeon Gold server with 2 NVIDIA Tesla VI 00 GPUs. After deploying your A1 application, you observe that one GPU is consistently running at a significantly higher temperature than the other

What could be a plausible reason for this behavior?

31. 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.

32. You are configuring a network bridge on a Linux host that will connect multiple physical network interfaces to a virtual machine. You need to ensure that the virtual machine receives an IP address via DHCP.

Which of the following is the correct command sequence to create the bridge interface ‘br0’, add physical interfaces ‘eth0’ and ‘eth1’ to it, and bring up the bridge interface? Assume the required packages are installed. Consider using ‘ip’ command.

A )

B )

C )

D )

E )

33. 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?

34. 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?

35. 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?

36. You are tasked with installing a DGX A100 server. After racking and connecting power and network cables, you power it on, but the BMC (Baseboard Management Controller) is not accessible via the network. You have verified the network cable is connected and the switch port is active.

What are the MOST likely causes and initial troubleshooting steps you should take?

37. 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?

38. You are running a distributed training job on a multi-GPU server. After several hours, the job fails with a NCCL (NVIDIA Collective Communications Library) error. The error message indicates a failure in inter-GPU communication. ‘nvidia-smi’ shows all GPUs are healthy.

What is the MOST probable cause of this issue?

39. 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?

40. You’re designing a new InfiniBand network for a distributed deep learning workload. The workload consists of a mix of large-message all- to-all communication and small-message parameter synchronization.

Considering the different traffic patterns, what routing strategy would MOST effectively minimize latency and maximize bandwidth utilization across the fabric?