NCP-AII Exam Dumps (V9.03) Are Online for Your NCP AI Infrastructure Exam Preparation: Continue to Check the NCP-AII Free Dumps (Part 3, Q81-Q120) Today

1. 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.

2. You’re deploying a new cluster with multiple NVIDIAAIOO GPUs per node. You want to ensure optimal inter-GPU communication performance using NVLink.

Which of the following configurations are critical for achieving maximum NVLink bandwidth?

3. 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?

4. 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?

5. You are tasked with setting up network fabric ports to connect several servers, each with multiple NVIDIA GPUs, to an InfiniBand switch. Each server has two ConnectX-6 adapters.

What is the best strategy to maximize bandwidth and redundancy between the servers and the InfiniBand fabric?

6. You are deploying a multi-tenant A1 infrastructure with strict isolation requirements.

Which network technology would be most suitable for creating isolated virtual networks for each tenant?

7. 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?

8. You are experiencing link flapping (frequent up/down transitions) on several InfiniBand links in your AI infrastructure. This is causing intermittent connectivity issues and performance degradation.

What are the MOST likely causes of this issue, and what steps should you take to troubleshoot and resolve it? (Select TWO)

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

10. 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?

11. 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?

12. You suspect a power supply issue is causing intermittent GPU failures in a server with four NVIDIAAIOO GPUs. The server is rated for a peak power consumption of 3000W. You have a power meter available.

Which of the following methods provides the most accurate assessment of the server’s power consumption under full GPU load?

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

14. 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?

15. Which of the following statements regarding VXLAN (Virtual Extensible LAN) is MOST accurate in the context of data center networking for AI/ML workloads?

16. You’re debugging performance issues in a distributed training job. ‘nvidia-smi’ shows consistently high GPU utilization across all nodes, but the training speed isn’t increasing linearly with the number of GPUs. Network bandwidth is sufficient.

What is the most likely bottleneck?

17. 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?

18. 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?

19. 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?

20. You are installing a GPU server in a data center with limited cooling capacity.

Which of the following server configuration choices would BEST help minimize the server’s thermal output, without significantly compromising performance? Assume all options are compatible.

21. Consider a scenario where you are using NCCL (NVIDIA Collective Communications Library) for multi-GPU training across multiple servers connected via NVLink switches.

Which NCCL environment variable would you use to specify the network interface to be used for communication?

22. You are tasked with optimizing storage performance for a deep learning training job on an NVIDIA DGX server. The training data consists of millions of small image files.

Which of the following storage optimization techniques would be MOST effective in reducing I/O bottlenecks?

23. 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?

24. 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?

25. 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.

26. 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?

27. 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?

28. 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?

29. After upgrading the network card drivers on your A1 inference server, you experience intermittent network connectivity issues, including packet loss and high latency. You’ve verified that the physical connections are secure.

Which of the following steps would be most effective in troubleshooting this issue?

30. 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?

31. 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?

32. 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?

33. 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?

34. 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?

35. 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?

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

37. You are managing a server farm of GPU servers used for A1 model training. You observe frequent GPU failures across different servers.

Analysis reveals that the failures often occur during periods of peak ambient temperature in the data center. You can’t immediately improve the data center cooling.

What are TWO proactive measures you can implement to mitigate these failures without significantly impacting training performance?

38. 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?

39. 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?

40. You suspect a faulty NVIDIA ConnectX-6 network adapter in a server used for RDMA-based distributed training.

Which commands or tools can you use to diagnose potential issues with the adapter’s hardware and connectivity?