NCP-AII最新的考古題

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NVIDIA NCP-AII 考試大綱：

主題	簡介
主題 1	Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
主題 2	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 3	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 4	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 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.

>> NCP-AII最新題庫資源 <<

免費PDF下載NCP-AII最新題庫資源 & 最近更新的NVIDIA NVIDIA AI Infrastructure

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最新的 NVIDIA-Certified Professional NCP-AII 免費考試真題 (Q152-Q157):

問題 #152
An administrator notices that a server is not collecting telemetry data such as traffic flows, performance faults, and events. In which network does this information flow?

A. Storage
B. InfiniBand management
C. In-band management
D. Compute

答案：B

問題 #153
An infrastructure engineer in an AI factory has successfully replaced a power supply unit on an NVIDIA DGX H100. After installation, both the IN and OUT LEDs on the new power supply illuminate solid green. Which NVSM CLI command should the engineer use to quickly verify the overall system status and ensure it is operating as expected?

A. nvsm show powermode
B. nvsm show alerts
C. nvsm show health
D. nvsm show power

答案：C

解題說明：
nvsm show health provides a quick overall health summary for the DGX system after hardware replacement. It is the appropriate command to confirm that the system is operating normally and that no health issues remain after the PSU installation.

問題 #154
You have a server with two NVIDIA GPUs connected via NVLink. You want to verify that NVLink is functioning correctly. Which command(s) or tool(s) can you use to check the NVLink status and bandwidth?

A. nvcc -version'
B. 'nvidia-smi nvlink -statue
C. Ispci'
D. 'nvidia-settings' (GUI tool)
E. 'nvidia-smi topo -m'

答案：B,E

解題說明：
'nvidia-smi nvlink -statuS provides a direct overview of the NVLink status, including link speed and errors. 'nvidia-smi topo shows the topology of the GPUs and how they are connected, including NVLink connections. 'Ispci' lists PCl devices but doesn't provide NVLink- specific information. 'nvcc -version' checks the CUDA compiler version. 'nvidia-settings' is a GUI tool that can display some information, but it's less precise than 'nvidia-smr for NVLink status.

問題 #155
An engineer needs to validate NVLink Switch functionality on a DGX H100 system with 8 GPUs.
Which NCCL command verifies intra-node NVLink bandwidth?

A. all_reduce_perf -b 8 -e 16G -f2 -g 4 with NCCL_TESTS_SPLIT= "MOD 2"
B. all_reduce_perf -b 8 -e 16G -f2 -g 8 with NCCL_TESTS_SPLIT= "OR 0x7"
C. all_reduce_perf -b 8 -e 16G -f2 -g 1 repeated 8 times
D. broadcast_perf -b 8 -e 16G -f2 -g 8 without split configuration

答案：B

解題說明：
Running all_reduce_perf across all 8 GPUs validates intra-node collective bandwidth across the full DGX H100 NVLink Switch domain. The split setting stresses NVLink paths within the node, making it suitable for verifying NVLink Switch functionality and bandwidth across the 8-GPU topology.

問題 #156
You are building a cloud-native application that uses both CPU and GPU resources. You want to optimize resource utilization and cost by scheduling CPU-intensive tasks on nodes without GPUs and GPU-intensive tasks on nodes with GPUs. How would you achieve this node selection and workload placement in Kubernetes?

A. Use labels to identify the CPU and GPU-intensive nodes.
B. Use resource quotas to limit the CPU resources available on nodes with GPUs and the GPU resources available on nodes without GPUs.
C. Use taints and tolerations to dedicate nodes without GPUs to CPU-intensive tasks and nodes with GPUs to GPU-intensive tasks.
D. Use node affinity rules to schedule CPU-intensive tasks on nodes without GPUs and GPU-intensive tasks on nodes with GPUs.
E. Use node affinity rules to schedule CPU-intensive tasks on nodes with GPUs and GPU-intensive tasks on nodes without GPUs.

答案：D

解題說明：
Node affinity rules allow you to specify constraints on which nodes a pod can be scheduled on. By using node affinity rules, you can ensure that CPU-intensive tasks are scheduled on nodes without GPUs and GPU-intensive tasks are scheduled on nodes with GPUs. This optimizes resource utilization and cost. Taints and tolerations can be used, but affinity is more flexible. Resource quotas limit resource usage but do not control placement.

問題 #157
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NCP-AII考試大綱: https://www.vcesoft.com/NCP-AII-pdf.html

2026 VCESoft最新的NCP-AII PDF版考試題庫和NCP-AII考試問題和答案免費分享：https://drive.google.com/open?id=1Vhqst2zkrramtxDo-4h4qWJkH-kvpeAM