Complete Your NVIDIA Certified Professional AI Infrastructure Exam with NCP-AII Dumps (V8.02): Continue to Check NCP-AII Free Dumps (Part 3, Q81-Q120)

1. 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 )

2. You are using GPU Direct RDMA to enable fast data transfer between GPUs across multiple servers. You are experiencing performance degradation and suspect RDMA is not working correctly.

How can you verify that GPU Direct RDMA is properly enabled and functioning?

3. 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?

4. You are running a large-scale distributed training job on a cluster of AMD EPYC servers, each equipped with multiple NVIDIAA100 GPUs. You are using Slurm for job scheduling. The training process often fails with NCCL errors related to network connectivity.

What steps can you take to improve the reliability of the network communication for NCCL in this environment? Choose the MOST appropriate answers.

5. You’re designing a data center network for inference workloads. The primary requirement is high availability.

Which of the following considerations are MOST important for your topology design?

6. A server with eight NVIDIAAIOO GPUs experiences frequent CUDA errors during large model training. ‘nvidia-smi’ reports seemingly normal temperatures for all GPUs. However, upon closer inspection using IPMI, the inlet temperature for GPUs 3 and 4 is significantly higher than others.

What is the MOST likely cause and the immediate action to take?

7. A data scientist reports slow data loading times when training a large language model. The data is stored in a Ceph cluster. You suspect the client-side caching is not properly configured.

Which Ceph configuration parameter(s) should you investigate and potentially adjust to improve data loading performance? Select all that apply.

8. 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?

9. Your deep learning training job that utilizes NCCL (NVIDIA Collective Communications Library) for multi-GPU communication is failing with "NCCL internal error, unhandled system error" after a recent CUDA update. The error occurs during the ‘all reduce’ operation.

What is the most likely root cause and how would you address it?

10. You are tasked with diagnosing performance issues on a GPU server running a large-scale HPC simulation. The simulation utilizes multiple GPUs and InfiniBand for inter-GPU communication. You suspect that RDMA (Remote Direct Memory Access) is not functioning correctly.

How would you comprehensively test and verify the proper operation of RDMA between the GPUs?

11. In a distributed training environment with NVLink switches, you need to optimize the data transfer between GPUs on different servers.

Which strategy is most likely to minimize the impact of inter-server latency on the overall training time?

12. You need to remotely monitor the GPU temperature and utilization of a server without installing any additional software on the server itself.

Assuming you have network access to the server’s BMC (Baseboard Management Controller), which protocol and standard data format would BEST facilitate this?

13. You are managing an A1 infrastructure based on NVIDIA Spectrum-X switches. A new application requires strict Quality of Service (QOS) guarantees for its traffic. Specifically, you need to ensure that this application’s traffic receives preferential treatment and minimal latency.

What combination of Spectrum-X features and configurations would be MOST effective in achieving this?

14. 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?

15. 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?

16. You are tasked with troubleshooting a performance bottleneck in a multi-node, multi-GPU deep learning training job utilizing Horovod.

The training loss is decreasing, but the overall training time is significantly longer than expected.

Which of the following monitoring approaches would provide the most insight into the cause of the bottleneck?

17. Which command-line tool is typically used to monitor the status and performance of an NVIDIA NVLink� Switch?

18. You are using NVIDIA Spectrum-X switches in your A1 infrastructure. You observe high latency between two GPU servers during a large distributed training job. After analyzing the switch telemetry, you suspect a suboptimal routing path is contributing to the problem.

Which of the following methods offers the MOST granular control for influencing traffic flow within the Spectrum-X fabric to mitigate this?

19. 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?

20. When installing a GPU driver on a Linux system that already has a previous driver version installed, what is the recommended procedure to ensure a clean and stable installation?

21. 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?

22. You have a large dataset stored on a BeeGFS file system. The training job is single node and uses data augmentation to generate more data on the fly. The data augmentation process is CPU-bound, but you notice that the GPU is underutilized due to the training data not being fed to the GPU fast enough.

How can you reduce the load on the CPU and improve the overall training throughput?

23. You are troubleshooting a network performance issue in your NCP-AII environment.

After running ‘ibstat’ on a host, you see the following output for one of the InfiniBand ports:

What does the ‘LMC: 0’ indicate, and what are the implications for network performance?

24. You are deploying a new A1 cluster using RoCEv2 over a lossless Ethernet fabric.

Which of the following QOS (Quality of Service) mechanisms is critical for ensuring reliable RDMA communication?

25. You are deploying a multi-tenant AI infrastructure where different users or groups have isolated network environments using VXLAN.

Which of the following is the MOST important consideration when configuring the VTEPs (VXLAN Tunnel Endpoints) on the hosts to ensure proper network isolation and performance?

26. 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.

27. Your AI infrastructure includes several NVIDIAAI 00 GPUs. You notice that the GPU memory bandwidth reported by ‘nvidia-smi’ is significantly lower than the theoretical maximum for all GPUs. System RAM is plentiful and not being heavily utilized.

What are TWO potential bottlenecks that could be causing this performance issue?

28. 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)

29. You’ve installed a server with multiple NVIDIAAIOO GPUs intended for use with Kubernetes and NVIDIA’s GPU Operaton After installing the GPU Operator, you notice that the GPUs are not being properly detected and managed by Kubernetes.

Which of the following are potential causes and troubleshooting steps you should take?

30. 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?

31. You’re optimizing a deep learning model for deployment on NVIDIA Tensor Cores. The model uses a mix of FP32 and FP16 precision. During profiling with NVIDIA Nsight Systems, you observe that the Tensor Cores are underutilized.

Which of the following strategies would MOST effectively improve Tensor Core utilization?

32. 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?

33. Which protocol is commonly used in Spine-Leaf architectures for dynamic routing and load balancing across multiple paths?

34. Which of the following techniques are effective for improving inter-GPU communication performance in a multi-GPU Intel Xeon server used for distributed deep learning training with NCCL?

35. An AI server with 8 GPUs is experiencing random system crashes under heavy load. The system logs indicate potential memory errors, but standard memory tests (memtest86+) pass without any failures. The GPUs are passively cooled.

What are the THREE most likely root causes of these crashes?

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

37. A critical AI model training job consistently fails on a specific GPU server in your cluster after running for approximately 24 hours.

Monitoring data shows a sudden drop in GPU power consumption followed by a system reboot. All other GPUs on the server appear normal. The server has redundant PSUs.

What is the MOST likely cause?

38. After replacing a GPU in a multi-GPU server, you notice that the new GPU is consistently running at a lower clock speed than the other GPUs, even under load. *nvidia-smi’ shows the ‘Pwr’ state as ‘P8’ for the new GPU, while the others are at ‘PO’.

What is the MOST probable cause?

39. You are configuring a network for a distributed training job using multiple DGX servers connected via InfiniBand. After launching the training job, you observe that the inter-GPU communication is significantly slower than expected, even though ‘ibstat’ shows all links are up and active.

What is the MOST likely cause of this performance bottleneck?

40. 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?