NCP-AII最新考題 & NCP-AII考古題
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NVIDIA NCP-AII 考試大綱：

主題簡介
主題 1
  • 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.
主題 2
  • 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 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
  • 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
  • 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.

>> NCP-AII最新考題 <<

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最新的 NVIDIA-Certified Professional NCP-AII 免費考試真題 (Q69-Q74):

問題 #69
You are implementing a security policy on a BlueField-2 DPU to filter traffic based on specific application signatures. Which technology, supported by BlueField, allows you to achieve deep packet inspection (DPI) and apply security rules based on the detected application?

答案：C

解題說明：
eBPF with XDP is the most suitable technology for deep packet inspection (DPI) on BlueField. It allows you to run custom code at near-line speed to inspect packets and apply security rules based on application signatures. TC and Netfilter are less efficient for DPI, OVS/OpenFlow are more for switching policies, and IPsec focuses on encryption.


問題 #70
An AI server utilizes a QSFP28 transceiver with MPO connector. During troubleshooting, you suspect a faulty transceiver. Which steps are most important to perform when physically inspecting and testing the transceiver?

答案：A

解題說明：
The MOST important steps involve visual inspection for damage, cleaning the connector to ensure a good optical connection, and verifying DOM information to assess the transceivers health and signal levels. OTDR is more suited for cable diagnosis. While firmware and voltage are relevant, the DOM provides immediate health indicators.


問題 #71
What is the purpose of using NCCL in verifying East-West fabric in an NVIDIA AI Factory?
Pick the 2 correct responses below.

答案：B,D

解題說明：
NCCL is used to validate GPU communication behavior across the East-West fabric, so the correct answers are measuring latency between GPUs and measuring bandwidth between GPUs. NVIDIA describes NCCL as a topology-aware library of multi-GPU collective communication primitives, and NVIDIA GPU debug guidance specifically identifies NCCL performance tests, such as all_reduce_perf, as useful for establishing network performance between groups of nodes. In an AI Factory, East-West traffic is the server-to-server traffic used during distributed training. When models scale across many GPUs and nodes, operations such as all-reduce, broadcast, all-gather, and reduce-scatter depend on low latency and high bandwidth. NCCL testing helps confirm that GPU-to-GPU paths, GPUDirect RDMA, InfiniBand or Spectrum-X fabric behavior, routing, and collective communication performance are healthy before production workloads start. NCCL is not intended to measure storage performance; that requires storage benchmarks or GPUDirect Storage validation. It also does not measure GPU power consumption; that is handled by tools such as nvidia-smi, DCGM, or platform telemetry.


問題 #72
Consider the following 'ibroute' command used on an InfiniBand host: 'ibroute add dest Oxla dev ib0'. What is the MOST likely purpose of this command?

答案：C

解題說明：
The 'ibroute add dest Ox1a dev ibC command creates a static route for traffic destined for the InfiniBand LID (Local Identifier) Ox1a, using the InfiniBand interface named 'ib0'. InfiniBand routing is primarily based on LIDS, not IP addresses directly (though IP over 1B is possible). The 'dest' parameter specifies the destination LID.


問題 #73
You are running a distributed training job across multiple nodes, using a shared file system for storing training dat a. 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.

答案：A,B,E

解題說明：
Network congestion (A) can directly impact the data transfer rate between the slower nodes and the storage. IJneven data distribution (B) means some storage nodes are more heavily loaded, leading to slower response times for nodes accessing data on those overloaded nodes. Insufficient RAM (D) limits the amount of data that can be cached locally, forcing more frequent reads from the slower storage system. CPU architecture (C) primarily affects compute performance, not 1/0. The speed of /tmp (E) is relevant if the training job uses local storage extensively for temporary files, but the question focuses on reading training data from the shared file system.


問題 #74
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