NCP-AIN模擬試験サンプル & NCP-AIN認定デベロッパー

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NVIDIA NCP-AIN Exam Syllabus Topics:

SectionObjectives
Kubernetes Integration for AI Workloads
NVIDIA Spectrum Networking
Automation and Configuration
NVIDIA InfiniBand Networking
AI Data Center Design and Optimization
Troubleshooting Tools and Methods

>> NCP-AIN模擬試験サンプル <<

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NVIDIA-Certified Professional AI Networking 認定 NCP-AIN 試験問題 (Q24-Q29):

質問 # 24
A leading AI research center is upgrading its infrastructure to support large language model projects.
The team is debating whether to implement a dedicated storage fabric for their AI workloads.
Which of the following best explains why a dedicated storage fabric is crucial for this AI network architecture?
Pick the 2 correct responses below

正解:A、D

解説:
Modern AI training (especially with LLMs) requires extremely high-speed, parallel access to large datasets. A dedicated storage fabricseparates data I/O traffic from the training compute path and avoids contention.
FromNVIDIA DGX Infrastructure Reference Architectures:
"Dedicated storage networks eliminate I/O bottlenecks by providing low-latency, high-bandwidth access to distributed storage for large-scale training jobs."
"Parallel access to datasets is key for performance, especially in multi-node, multi-GPU AI clusters." Security (B)is important, but not the core reason for a storage fabric.
Cost (D)is typicallyincreased, not reduced, with dedicated fabrics.
Reference: NVIDIA BasePOD/AI Infrastructure Deployment Guidelines - Storage Section


質問 # 25
In an AI cluster using NVIDIA GPUs, which configuration parameter in the NicClusterPolicy custom resource is crucial for enabling high-speed GPU-to-GPU communication across nodes?

正解:D

解説:
The RDMA Shared Device Plugin is a critical component in the NicClusterPolicy custom resource for enabling Remote Direct Memory Access (RDMA) capabilities in Kubernetes clusters. RDMA allows for high- throughput, low-latency networking, which is essential for efficient GPU-to-GPU communication across nodes in AI workloads. By deploying the RDMA Shared Device Plugin, the cluster can leverage RDMA- enabled network interfaces, facilitating direct memory access between GPUs without involving the CPU, thus optimizing performance.
Reference Extracts from NVIDIA Documentation:
* "RDMA Shared Device Plugin: Deploy RDMA Shared device plugin. This plugin enables RDMA capabilities in the Kubernetes cluster, allowing high-speed GPU-to-GPU communication across nodes."
* "The RDMA Shared Device Plugin is responsible for advertising RDMA-capable network interfaces to Kubernetes, enabling pods to utilize RDMA for high-performance networking."


質問 # 26
You are troubleshooting a Spectrum-X network and need to validate the fabric configuration. Which feature of Spectrum-X allows for automated fabric validation?

正解:C

解説:
NVIDIA NetQ is a network operations tool that provides real-time visibility and automated validation of the network fabric. It helps in identifying misconfigurations, monitoring network health, and ensuring that the fabric meets the required specifications for AI workloads.
Reference: NVIDIA Spectrum-X Documentation - Automated Fabric Validation


質問 # 27
When utilizing the ib_write_bw tool for performance testing, what does the -S flag define?

正解:D

解説:
From NVIDIA Performance Tuning Guide (ib_write_bw Tool Usage):
"-S <SL>: Specifies the Service Level (SL) to use for the InfiniBand traffic. SL is used for setting priority and mapping to virtual lanes (VLs) on the IB fabric." This flag is useful when testing QoS-aware setups or validating SL/VL mappings.


質問 # 28
In Cumulus Linux, which technology enables the ability to provide active-active redundancy to servers, without the need for direct inter-switch links?

正解:A

解説:
EVPN Multi-homingenablesactive-active redundancy without inter-switch linksby usingoverlay routing over VXLAN and distributed control plane using BGP EVPN.
From the officialNVIDIA Cumulus Linux EVPN Multihoming Documentation:
"EVPN multihoming allows multiple Top-of-Rack (ToR) switches to connect to the same server while maintaining full layer-2 redundancy without the need for inter-switch links or traditional MLAG configuration." Key benefits:
* Simplified topology (no ISL/peer-link needed)
* BGP-based control plane
* Fast convergence
* Active-active links per host NIC
Incorrect Options:
* MLAGrequires ISL between switches and peer-link configuration.
* VSS(Virtual Switching System) is a Cisco term, not supported in NVIDIA networking.
Reference: Cumulus Linux Docs - EVPN Multihoming


質問 # 29
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