VALID NCP-AII TEST TOPICS - NCP-AII EXAM SIMULATOR

Valid NCP-AII Test Topics - NCP-AII Exam Simulator

Valid NCP-AII Test Topics - NCP-AII Exam Simulator

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Tags: Valid NCP-AII Test Topics, NCP-AII Exam Simulator, Exam NCP-AII Quiz, NCP-AII Valid Exam Papers, Latest NCP-AII Exam Duration

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NCP-AII Exam Simulator | Exam NCP-AII Quiz

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NVIDIA AI Infrastructure Sample Questions (Q212-Q217):

NEW QUESTION # 212
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 CPU is heavily loaded, causing contention for system memory bandwidth.
  • B. The PCle bus is saturated, limiting data transfer speeds between the CPU and GPUs.
  • C. The GPUs are overheating, causing thermal throttling and slower memory transfers.
  • D. The NVLink connections between GPUs are failing, forcing data transfers through PCle.
  • E. The storage system is slow, delaying data loading and preprocessing.

Answer: A

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 # 213
A large language model (LLM) training job is running across multiple NVIDIAAI 00 GPUs in a cluster. You observe that the GPUs within a single server are communicating efficiently via NVLink, but the inter-server communication over Ethernet is becoming a bottleneck. Which of the following strategies, focusing on cable and transceiver selection, would MOST effectively address this inter-server communication bottleneck? (Choose TWO)

  • A. Implement InfiniBand as the interconnect technology for inter-server communication, utilizing appropriate InfiniBand cables and transceivers.
  • B. Replace all existing transceivers with Active Optical Cables (AOCs).
  • C. Upgrade inter-server connections to the highest available Ethernet speed (e.g., from 100GbE to 400GbE) using appropriate transceivers and fiber optic cables.
  • D. Replace existing Cat6 Ethernet cables with Cat8 cables.
  • E. Reduce the batch size of the LLM training job.

Answer: A,C

Explanation:
Upgrading to higher Ethernet speeds (e.g., 400GbE) with appropriate transceivers and fiber significantly increases bandwidth for inter-server communication. Implementing InfiniBand, a technology designed for high-performance computing interconnects, offers even better performance than Ethernet. Cat8 cables improve Ethernet signal quality but don't fundamentally increase bandwidth. Reducing batch size reduces the amount of data transferred but might impact training convergence. While AOCs can improve signal quality, they don't address the underlying bandwidth limitations as effectively as faster Ethernet or InfiniBand.


NEW QUESTION # 214
You are tasked with configuring an NVIDIAA100 GPU for a multi-tenant environment using MIG. The goal is to provide the following MIG configuration:

  • A. 0/1 /2/3/4/5/6
  • B. 6/0/0/0/0/0/0
  • C. 7/0/0/0/0/0/0
  • D. 1/1/1/1/1/1/1
  • E. 14/0/0/0/0/0/0

Answer: A

Explanation:
The question specifies that you need the configuration that allows 7x1g.10gb instances and one 7g.80gb. The format is num_1g/num_2g/num_3g/num_4g/num_7g/num_10g/num_20g/num_40g. In the provided configuration, 0/1/2/3/4/5/6 means one 7g, then we need the instances.


NEW QUESTION # 215
You are tasked with configuring a BlueField-2 DPIJ to offload network virtualization functions. Which Mellanox OFED command is MOST crucial for verifying that SR-IOV is correctly enabled and functional on the host and the DPU, prior to configuring vPorts?

  • A. 'Ispci -vv' to check for the presence of Virtual Functions (VFs) and their assignment.
  • B. 'mst statuS to verify the status of Mellanox devices and their firmware.
  • C. 'ifconfig' or 'ip addr show' to verify IP address assignments to network interfaces.
  • D. 'mlxlink' to check link speed and FEC settings.
  • E. 'ethtool -i to check driver information.

Answer: A

Explanation:
"Ispci -vv' is the most crucial command. It shows the presence of Virtual Functions (VFs) which confirms SR-IOV is enabled. It also shows the device IDs assigned, allowing verification that the host and DPIJ are correctly seeing and assigning VFs to the network interfaces. While other commands are useful for general network diagnostics, they don't directly verify SR-IOV functionality like 'Ispci -vv' does.


NEW QUESTION # 216
You are implementing a distributed deep learning training setup using multiple servers connected via NVLink switches. You want to ensure optimal utilization of the NVLink interconnect. Which of the following strategies would be MOST effective in achieving this goal?

  • A. Configure NCCL to use GPUDirect RDMA for inter-GPU communication across servers.
  • B. Use a standard TCP/IP socket connection for inter-GPU communication across servers.
  • C. Disable peer-to-peer GPU memory access within each server to avoid contention.
  • D. Increase the batch size to reduce the frequency of inter-GPU communication.
  • E. Implement a data compression algorithm that can be processed by the CPU before sending data over NVLink.

Answer: A,D

Explanation:
Configuring NCCL to use GPUDirect RDMA is key as it bypasses the CPU and reduces latency. Increasing batch size helps amortize the cost of communication. TCP/IP will not utilize NVLink; CPU-based compression adds overhead, and disabling peer-to-peer access hurts performance. GPUDirect RDMA allows direct memory access and it is the most critical piece in NVLink switch based system setup. Large batch size would also help to saturate the link bandwidth and less freqeuntly communicate between GPUs.


NEW QUESTION # 217
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