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NVIDIA NCP-AII 考試大綱:
| 主題 | 簡介 |
|---|
| 主題 1 | - System and Server Bring-up: Covers end-to-end physical setup of GPU-based AI infrastructure, including BMC
- OOB
- TPM configuration, firmware upgrades, hardware installation, and power and cooling validation to ensure servers are workload-ready.
|
| 主題 2 | - Cluster Test and Verification: Covers full cluster validation through HPL and NCCL benchmarks, NVLink and fabric bandwidth tests, cable and firmware checks, and burn-in testing using HPL, NCCL, and NeMo.
|
| 主題 3 | - Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
|
| 主題 4 | - Troubleshoot and Optimize: Covers identifying and replacing faulty hardware components such as GPUs, network cards, and power supplies, along with performance optimization for AMD
- Intel servers and storage.
|
| 主題 5 | - Control Plane Installation and Configuration: Covers deploying the software stack including Base Command Manager, OS, Slurm
- Enroot
- Pyxis, NVIDIA GPU and DOCA drivers, container toolkit, and NGC CLI.
|
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最新的 NVIDIA-Certified Professional NCP-AII 免費考試真題 (Q141-Q146):
問題 #141
You are tasked with selecting transceivers for a new NVIDIA Quantum-2 InfiniBand switch deployment. The primary requirement is to minimize power consumption while maintaining 400Gbps bandwidth over short distances (up to 50 meters). Which transceiver type would offer the BEST power efficiency in this scenario?
- A. QSFP-DD SR4
- B. QSFP-DD SR8
- C. QSFP-DD LR8
- D. QSFP-DD DR4
- E. QSFP-DD AOC
答案:A
解題說明:
SR4 transceivers are known for their relatively low power consumption compared to other 400GbE transceiver types. This is because they use a simpler modulation scheme and shorter reach, requiring less power for signal amplification and processing. LR8 and DR4 are designed for longer distances and consume more power. AOCs, while convenient, are not typically the most power-efficient option. SR8 may consume slightly higher power than SR4 but provides better performance in certain scenarios.
問題 #142
A user wants to restrict a Docker container to use only GPUs 0 and 2. Which command achieves this?
- A. docker run --gpus '"device=0,2"' nvidia/cuda:12.1-base nvidia-smi
- B. docker run --device /dev/nvidia0,/dev/nvidia2 nvidia/cuda:12.1-base nvidia-smi
- C. docker run --gpus all nvidia/cuda:12.1-base nvidia-smi -id=0,2
- D. docker run -e NVIDIA_VISIBLE_DEVICES=0,2 nvidia/cuda:12.1-base nvidia-smi
答案:A
解題說明:
With the advent of the NVIDIA Container Toolkit and modern Docker versions (19.03+), the --gpus flag is the official, verified method for resource allocation. To restrict a container to specific hardware IDs, the syntax requires a specific string format: --gpus '"device=0,2"'. This tells the NVIDIA Container Runtime to map only those specific physical GPU devices into the container's namespace. While environment variables like NVIDIA_VISIBLE_DEVICES (Option B) were used in older "nvidia-docker2" setups, they are now considered legacy and can be overridden by the more modern --gpus flag. Option D is incorrect because simply mapping the device nodes (/dev/nvidiaX) is insufficient; the container also needs the appropriate volume mounts for the NVIDIA drivers and libraries, which the --gpus flag handles automatically. This precise isolation is critical in multi-tenant AI environments to ensure that a single developer or job doesn't accidentally utilize the entire 8-GPU tray of a DGX H100.
問題 #143
Refer to the exhibit. What is the maximum bandwidth supported by Direct Attach Copper (DAC) LinkX cables?

- A. 50 Gbps
- B. 100 Gbps
- C. 400 Gbps
- D. 200 Gbps
答案:C
解題說明:
NVIDIA LinkX Direct Attach Copper cables support high-speed Ethernet and InfiniBand connectivity up to 400 Gbps, making them suitable for dense GPU cluster interconnects and short-reach data center links.
問題 #144
In an InfiniBand fabric, what is the primary role of the Subnet Manager (SM) with respect to routing?
- A. To forward packets based on destination IP addresses, similar to a traditional IP router.
- B. To discover the network topology, calculate routing paths, and program the forwarding tables (LID tables) in the switches.
- C. To act as a firewall, blocking unauthorized traffic based on pre-defined rules.
- D. To monitor the network for congestion and dynamically adjust packet priorities using Quality of Service (QOS) mechanisms.
- E. To provide a command-line interface for users to manually configure routing tables on each InfiniBand switch.
答案:B
解題說明:
The Subnet Manager (SM) is responsible for discovering the InfiniBand topology, calculating routes, and programming the forwarding tables (LID tables) within the switches. This is crucial for establishing connectivity and ensuring efficient data transfer within the fabric. InfiniBand uses LID (Local Identifier) based routing, not IP addresses directly.
問題 #145
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?
- A. Update the server's BIOS.
- B. Run network diagnostic tools like 'ping', 'traceroute', and 'iperf3' to assess the network performance.
- C. Reinstall the operating system.
- D. Check the system logs for error messages related to the network card or driver.
- E. Roll back the network card drivers to the previous version.
答案:B,D,E
解題說明:
Rolling back drivers is a quick way to revert to a known working state. Checking system logs will provide valuable information about driver errors or network issues. Network diagnostic tools will quantify the network performance and help isolate the problem. Reinstalling the OS is drastic and should be a last resort. Updating the BIOS is unlikely to resolve driver-related network issues unless specifically recommended for the network card.
問題 #146
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