NVIDIA-Certified Professional AI Networking 온라인 연습
최종 업데이트 시간: 2025년06월06일
당신은 온라인 연습 문제를 통해 NVIDIA NCP-AIN 시험지식에 대해 자신이 어떻게 알고 있는지 파악한 후 시험 참가 신청 여부를 결정할 수 있다.
시험을 100% 합격하고 시험 준비 시간을 35% 절약하기를 바라며 NCP-AIN 덤프 (최신 실제 시험 문제)를 사용 선택하여 현재 최신 70개의 시험 문제와 답을 포함하십시오.
정답:
Explanation:
In the Spectrum-X architecture, BlueField-3 SuperNICsare responsible for executing the congestion control algorithm. They handle millions of congestion control events per second with microsecond reaction latency, applying fine-grained rate decisions to manage data flow effectively. This ensures optimal network performance by preventing congestion and packet loss.
Reference: NVIDIA Spectrum-X Networking Platform
정답:
Explanation:
Spectrum-X achieves network isolation in multi-tenant environments by implementing Layer 3 Virtual Network Identifiers (L3VNIs) per Virtual Routing and Forwarding (VRF) instance. This approach allows each tenant to have a separate routing table and network segment, ensuring that traffic is isolated and secure between tenants.
Reference Extracts from NVIDIA Documentation:
"Spectrum-X enhances multi-tenancy with performance isolation to ensure tenants' AI workloads perform optimally and consistently."
정답:
Explanation:
EVPN Multi-homingenablesactive-active redundancy without inter-switch links by using overlay routing over VXLAN and distributed control plane using BGP EVPN.
From the official NVIDIA 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:
MLAG requires ISL between switches and peer-link configuration.
VSS (Virtual Switching System) is a Cisco term, not supported in NVIDIA networking.
Reference: Cumulus Linux Docs C EVPN Multihoming
정답: A
Explanation:
The Local Route Header (LRH)in InfiniBand is termed "local" because it is used exclusively for routing packets within a single subnet. The LRH contains the destination and source Local Identifiers (LIDs), which are unique within a subnet, facilitating efficient routing without the need for global addressing. This design optimizes performance and simplifies routing within localized network segments.
InfiniBand is a high-performance, low-latency interconnect technology widely used in AI and HPC data centers, supported by NVIDIA’s Quantum InfiniBand switches and adapters. The Local Routing Header (LRH) is a critical component of the InfiniBand packet structure, used to facilitate routing within an InfiniBand fabric. The question asks why the LRH is called a “local header,” which relates to its role in the InfiniBand network architecture.
According to NVIDIA’s official InfiniBand documentation, the LRH is termed “‘local’ because it contains the addressing information necessary for routing packets between nodes within the same InfiniBand subnet.” The LRH includes fields such as the Source Local Identifier (SLID) and Destination Local Identifier (DLID), which are assigned by the subnet manager to identify the source and destination endpoints within the local subnet. These identifiers enable switches to forward packets efficiently within the subnet without requiring global routing information, distinguishing the LRH from the Global Routing Header (GRH), which is used for inter-subnet routing.
Exact Extract from NVIDIA Documentation:
“The Local Routing Header (LRH) is used for routing InfiniBand packets within a single subnet. It contains the Source LID (SLID) and Destination LID (DLID), which are assigned by the subnet manager to identify the source and destination nodes in the local subnet. The LRH is called a ‘local header’ because it facilitates intra-subnet routing, enabling switches to forward packets based on LID-based forwarding tables.”
―NVIDIA InfiniBand Architecture Guide
This extract confirms that option A is the correct answer, as the LRH’s primary function is to route traffic between nodes within the local subnet, leveraging LID-based addressing. The term “local” reflects its scope, which is limited to a single InfiniBand subnet managed by a subnet manager.
Reference: LRH and GRH InfiniBand Headers VIDIA Enterprise Support Portal
정답:
Explanation:
To enforce strictmulti-tenancy, where:
Tenant A’s GPU cannot talk to Tenant B’s GPU
But both can access shared storage
The correct solution is:
Storage system # Full PKey membership
Each tenant’s GPU # Limited PKey membership
From the NVIDIA InfiniBand P_Key Partitioning Guide:
"A port with limited membership can only communicate with full members of the same PKey. It cannot communicate with other limited members, even within the same partition."
This isolates tenants from each other, while allowing shared access to storage.
Incorrect Options:
Apermits tenant-to-tenant communication.
Bisolates everything, including access to storage.
Cprevents GPU access to storage.
Reference: NVIDIA InfiniBand C Multi-Tenant PKey Partitioning Design
정답:
Explanation:
The NVIDIA UFM Cyber-AI Platform is specifically designed to enhance security and operational efficiency in InfiniBand data centers. It leverages AI-powered analytics to detect security threats, operational anomalies, and predict potential network failures. By analyzing real-time telemetry data, it identifies abnormal behaviors and performance degradation, enabling proactive maintenance and threat mitigation.
This platform integrates with existing UFM Enterprise and Telemetry services to provide a comprehensive view of the network's health and security posture. It utilizes machine learning algorithms to establish baselines for normal operations and detect deviations that may indicate security breaches or hardware issues.
Reference: NVIDIA UFM Cyber-AI Documentation v2.9.1
정답:
Explanation:
To check the status and link layer of InfiniBand interfaces, the ibstat command is used.
For example:
ibstat -d mlx5_0
This command provides detailed information about the InfiniBand device, including its state (e.g., Active), physical state (e.g., LinkUp), and link layer (e.g., InfiniBand).
Reference: NVIDIA DGX BasePOD Deployment Guide C Network Operator Section
정답:
Explanation:
Before upgrading the DOCA SDK on a BlueField DPU, it is mandatory to uninstall the existing OFED drivers to prevent compatibility conflicts.
From the NVIDIA DOCA Installation Guide:
"Before upgrading DOCA or BlueField-related software, you must remove existing OFED packages using: /usr/sbin/ofed_uninstall.sh -force."
This ensures:
Clean driver state
No residual kernel modules or user space libraries
Proper registration of new DOCA/OFED versions
Incorrect Options:
AandCmay not resolve conflicts.
Dinstalls but doesn’t remove conflicting packages.
Reference: DOCA SDK Installation C Uninstall OFED Requirement
정답:
Explanation:
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.
Incorrect Options:
AC No such flag for burst size.
BC -q defines number of QPs.
CC --rate or -R is used for rate-limiting.
Reference: NVIDIA InfiniBand Performance Guide C ib_write_bw Options Section
정답:
Explanation:
The ibdiagnet utility is a fundamental tool for InfiniBand fabric discovery, error detection, and diagnostics. It provides comprehensive reports on the fabric's health, including error reporting, switch and Host Channel
Adapter (HCA) configuration dumps, various counters reported by the switches and HCAs, and parameters of devices such as switch fans, power supply units, cables, and PCI lanes. Additionally, ibdiagnet performs validation for Unicast Routing, Adaptive Routing, and Multicast Routing to ensure correctness and a credit-loop-free routing environment.
Reference Extracts from NVIDIA Documentation:
"The ibdiagnet utility is one of the basic tools for InfiniBand fabric discovery, error detection and diagnostic. The output files of the ibdiagnet include error reporting, switch and HCA configuration dumps, various counters reported by the switches and the HCAs."
"ibdiagnet also performs Unicast Routing, Adaptive Routing and Multicast Routing validation for correctness and credit-loop free routing."
정답:
Explanation:
To identify the activeSubnet Manager (SM)node in an InfiniBand fabric, the correct command sequence is:
sminfo
Displays general information about the active SM in the fabric, including itsLID.
smpquery ND <LID>
Resolves theNode Description (ND)at the given LID, revealing the exact hostname or label of the SM server.
From the InfiniBand Tools Guide:
"The sminfo utility provides the LID of the master SM. Use smpquery ND <LID> to resolve the node name hosting the SM."
This two-step approach is standard for locating and validating the SM identity in fabric diagnostics.
Incorrect Options:
B (Nl)is an invalid query type.
CandDdo not identify SMs.
Reference: InfiniBand SM Tools C sminfo & smpquery Usage
정답:
Explanation:
Modern AI training (especially with LLMs) requires extremely high-speed, parallel access to large datasets. A dedicated storage fabric separates data I/O traffic from the training compute path and avoids contention.
From NVIDIA 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 typically increased, not reduced, with dedicated fabrics.
Reference: NVIDIA Base POD/AI Infrastructure Deployment Guidelines C Storage Section
정답:
Explanation:
In NVIDIA Spectrum-X, congestion is evaluated based on egress queue loads. Spectrum-4 switches assess the load on each egress queue and select the port with the minimal load for packet transmission. This approach ensures that all ports are well-balanced, optimizing network performance and minimizing congestion.
정답:
Explanation:
NVIDIA Air is a cloud-based network simulation tool designed to create digital twins of data center infrastructure, including Spectrum-X networks. It allows users to model switches, SuperNICs, and storage components, enabling the simulation, validation, and automation of network configurations before physical deployment. This facilitates Day 0, 1, and 2 operations, ensuring that network designs are tested and optimized for AI workloads.
Reference Extracts from NVIDIA Documentation:
"NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments."
"NVIDIA Air allows users to model data center deployments with full software functionality, creating a digital twin. Transform and accelerate time to AI by simulating, validating, and automating changes and updates."
"NVIDIA Air supports simulation of NVIDIA Spectrum Ethernet (Cumulus Linux and SONiC) switches and NVIDIA BlueField DPUs and SuperNICs as well as the NetQ network operations toolset."
정답:
Explanation:
Direct Memory Access (DMA) in InfiniBand networks allows data to be transferred directly between the memory of two devices without involving the CPU. This capability significantly reduces CPU overhead, lowers latency, and increases throughput, making it ideal for AI workloads that demand efficient data transfers.