UPDATED [Oct 02, 2025] Pass NVIDIA-Certified Professional AI Networking Exam with Latest Questions
NCP-AIN Exam Practice Questions prepared by NVIDIA Professionals
NVIDIA NCP-AIN Exam Syllabus Topics:
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NEW QUESTION # 28
As the network administrator for a large-scale AI research cluster, you are responsible for ensuring seamless data flow across an InfiniBand east-west fabric that interconnects hundreds of compute nodes.
Which tool would you use to trace and discover the network paths between nodes on this InfiniBand east-west fabric?
- A. ibnetdiscover
- B. ibpathverify
- C. tracert
- D. NetQ
Answer: A
Explanation:
The ibnetdiscover utility is used to perform InfiniBand subnet discovery and outputs a human-readable topology file. GUIDs, node types, and port numbers are displayed, as well as port LIDs and node descriptions.
All nodes and links are displayed, providing a full topology. This utility can also be used to list the current connected nodes. The output is printed to the standard output unless a topology file is specified.
InfiniBand is a high-performance, low-latency interconnect technology used in AI and HPC data centers, particularly for east-west traffic between compute nodes in large-scale fabrics. Ensuring seamless data flow requires tools to troubleshoot and monitor the network, including the ability to trace and discover network paths between nodes. The question asks for the specific tool used to trace and discover paths in an InfiniBand fabric, which is a key task in InfiniBand troubleshooting.
According to NVIDIA's official InfiniBand documentation, the ibnetdiscover tool is designed to discover and map the topology of an InfiniBand fabric, including the paths between nodes. It scans the fabric, queries the subnet manager, and generates a topology map that details the connections between switches, Host Channel Adapters (HCAs), and other devices. This tool is essential for verifying connectivity, identifying routing paths, and troubleshooting issues like misconfigured routes or link failures in large-scale InfiniBand fabrics.
Exact Extract from NVIDIA Documentation:
"The ibnetdiscover tool is used to discover the InfiniBand fabric topology and generate a map of the network.
It queries the subnet manager to retrieve information about all nodes, switches, and links in the fabric, providing a detailed view of the paths between nodes. This tool is critical for troubleshooting connectivity issues and ensuring proper routing in InfiniBand networks."
-NVIDIA InfiniBand Networking Guide
This extract confirms that ibnetdiscover is the correct tool for discovering network paths in an InfiniBand east- west fabric. It provides a comprehensive view of the fabric's topology, enabling administrators to trace paths between compute nodes and ensure seamless data flow.
Reference:InfiniBand Fabric Utilities - NVIDIA Docs
NEW QUESTION # 29
In which mode of the BlueField DPU does the ARM system on the DPU control the NIC data path, but allow access to the DPU OS from the host?
- A. DPU mode
- B. NIC mode
- C. Separated Host mode
- D. Restricted mode
Answer: A
NEW QUESTION # 30
You are troubleshooting an InfiniBand network issue and need to check the status of the InfiniBand interfaces. Which command should you use to display the state, physical state, and link layer of InfiniBand interfaces?
- A. cat /proc/net/ib/device
- B. sudo ibnodes -C mlx5_0
- C. ibstat -d mlx5_X
- D. ibv_devices -c mlx5_0
Answer: C
Explanation:
The ibstat command is utilized to display the operational status of InfiniBand Host Channel Adapters (HCAs).
It provides detailed information, including the state (e.g., Active, Down), physical state (e.g., LinkUp, Polling), and link layer (e.g., InfiniBand, Ethernet) of each port on the HCA. This information is crucial for diagnosing connectivity issues and ensuring that the InfiniBand interfaces are functioning correctly.
Reference Extracts from NVIDIA Documentation:
* "The ibstat command displays the status of the host channel adapters (HCAs) in your InfiniBand fabric.
The status includes the HCAs' state, physical state, and link layer."
* "For proper operation, you are looking for 'State: Active' and 'Physical State: LinkUp'."
NEW QUESTION # 31
You are optimizing a multi-node AI training cluster using InfiniBand networking and NVIDIA GPUs. You need to implement efficient collective communication operations across the nodes.
Which feature of NVIDIA Collective Communications Library (NCCL) allows for optimized performance in multi-subnet InfiniBand environments?
- A. GPU Direct RDMA
- B. Static plugin linking
- C. Lazy connection establishment
- D. Support for IB Router
Answer: D
Explanation:
Inmulti-subnet InfiniBand environments, AI training clusters are segmented across network zones (or subnets). Direct GPU-to-GPU communication (especially for collective ops like AllReduce, Broadcast, etc.) requires inter-subnet reachability. NCCL supports this via theInfiniBand Router (IB Router)feature.
From theNCCL User Guide - Environment Variables Section:
"NCCL_IB_USE_IB_ROUTER: Enables NCCL support for IB routers which are used in multi-subnet InfiniBand fabrics. When enabled, NCCL can traverse IB subnets using a properly configured IB router." This is critical because without IB Router support:
* NCCL would be restricted to intra-subnet GPU collectives.
* Multi-node training across subnets would fail or fall back to slower TCP fallback mechanisms.
Technical Explanation:
* IB Routers usesubnet managers(like OpenSM with routing tables) to bridge communication across different InfiniBand partitions.
* NCCL queries the subnet topology, discovers routing paths, and usesRDMA CM(Connection Manager) to establish GPU transport over routers.
* This capability is especially important in data center-scale AI clusters spanning multiple racks or zones, connected viaIB routers like Mellanox SB7800 or QM8700 series.
When NCCL_IB_USE_IB_ROUTER=1 is set:
* NCCL includes router-aware route resolution in its path selection logic.
* Enables efficientzero-copy communicationacross GPUs in different IB domains, maintaining low latency.
Other Options Explained:
* A. Lazy connection establishment- controls when peer connections are made but does not enable cross-subnet reach.
* B. GPU Direct RDMA- enables intra-node direct memory access, not applicable for routing across subnets.
* C. Static plugin linking- affects how NCCL links plugins, not related to IB topology.
Exact Extract Reference:
Source: NVIDIA NCCL User Guide - Environment Variables Section
Extract: "NCCL_IB_USE_IB_ROUTER: Enables NCCL support for IB routers, required for multi-subnet InfiniBand configurations. Ensures proper routing of collectives over fabric-wide topologies."
NEW QUESTION # 32
A financial services company is planning to implement an AI infrastructure to support real-time fraud detection and risk assessment. They need a solution that can handle both training and inference workloads while maintaining data privacy and security.
Which NVIDIA reference architecture component would be most appropriate to address the data privacy and security concerns in this AI networking setup?
- A. NVIDIA CUDA-X AI libraries
- B. NVIDIA Spectrum switches
- C. NVIDIA Magnum IO
- D. NVIDIA BlueField DPUs
Answer: D
Explanation:
NVIDIA BlueField Data Processing Units (DPUs)are integral to securing AI infrastructures, especially in environments requiring stringent data privacy and security measures. BlueField DPUs offload and accelerate critical infrastructure tasks such as encryption, firewall enforcement, and intrusion detection, thereby isolating sensitive data paths from potential threats.
In the context of AI workloads, BlueField DPUs enable secure and efficient data movement between GPUs and storage systems, ensuring that sensitive information, like financial data, is protected during both training and inference processes. Their integration into NVIDIA's reference architectures provides a hardware root of trust, essential for maintaining data integrity and compliance with security standards.
Reference:NVIDIA BlueField Networking Platform
NEW QUESTION # 33
What are the prerequisites for performing Flow Analysis with NetQ?
- A. Cumulus 5.x and later / Spectrum-2 and later / On-premises deployment
- B. Cumulus 5.x and later / Spectrum-2 and later / LCM enabled
- C. Cumulus 4.x and later / Spectrum-2 and later / LCM enabled
- D. Cumulus 5.x and later / Spectrum-3 and later / On-premises deployment
Answer: B
Explanation:
To perform Flow Analysis with NetQ, the following prerequisites must be met:
* Cumulus Linux Version: NetQ Flow Analysis requires Cumulus Linux 5.x or later.
* Switch Hardware: The feature is supported on Spectrum-2 and later switch models.
* Lifecycle Management (LCM): LCM must be enabled to utilize Flow Analysis capabilities.
These requirements ensure compatibility and proper functioning of the Flow Analysis feature within NetQ.
Reference: NVIDIA NetQ Documentation - Flow Analysis Prerequisites
NEW QUESTION # 34
You have implemented adaptive routing in your Spectrum-X network to optimize AI workload performance.
You need to verify the effectiveness of this configuration and monitor its impact on network congestion.
Which tool would be most appropriate for monitoring and analyzing the adaptive routing performance in your Spectrum-X environment?
- A. NetQ
- B. Ansible
- C. MLNXOS
- D. CloudAI Benchmark
Answer: A
Explanation:
NVIDIA NetQ is a comprehensive network operations tool designed to provide real-time visibility into the health and performance of NVIDIA networking environments, including Spectrum-X. It offers detailed telemetry and analytics, allowing administrators to monitor adaptive routing behaviors, detect congestion, and analyze traffic patterns. By leveraging NetQ, you can ensure that adaptive routing is functioning as intended and that the network is optimized for AI workloads.
Reference Extracts from NVIDIA Documentation:
* "The NVIDIA NetQ network validation and ASIC monitoring tool set provide visibility into the network health and behavior. The NetQ flow telemetry analysis shows the paths that data flows take as they traverse the network, providing network latency and performance insights."
* "By leveraging telemetry from Spectrum Ethernet switches and BlueField-3 SuperNICs, NVIDIA NetQ can detect network issues proactively and troubleshoot network issues faster for optimal use of network capacity."
NEW QUESTION # 35
You are optimizing an AI workload that involves multiple GPUs across different nodes in a data center. The application requires both high-bandwidth GPU-to-GPU communication within nodes and efficient communication between nodes.
Which combination of NVIDIA technologies would best support this multi-node, multi-GPU AI workload?
- A. NVLink for intra-node GPU communication and InfiniBand for inter-node communication.
- B. NVLink for both intra-node and inter-node GPU communication.
- C. InfiniBand for both intra-node and inter-node GPU communication.
- D. PCIe for intra-node GPU communication and RoCE for inter-node communication.
Answer: A
Explanation:
For optimal performance in multi-node, multi-GPU AI workloads:
* NVLinkprovides high-speed, low-latency communication between GPUs within the same node.
* InfiniBandoffers efficient, scalable communication between nodes in a data center.Combining these technologies ensures both intra-node and inter-node communication needs are effectively met.
Reference:NVIDIA NVLink & NVSwitch: Fastest HPC Data Center Platform
NEW QUESTION # 36
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
- A. To ensure data security and isolation from other network traffic.
- B. To provide high-bandwidth, low-latency data access that prevents I/O bottlenecks during AI model training.
- C. To reduce the overall cost of the storage infrastructure.
- D. To enable parallel data access and improve storage performance for distributed AI workloads.
Answer: B,D
Explanation:
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
NEW QUESTION # 37
You are designing a new AI data center for a research institution that requires high-performance computing for large-scale deep learning models. The institution wants to leverage NVIDIA's reference architectures for optimal performance.
Which NVIDIA reference architecture would be most suitable for this high-performance AI research environment?
- A. NVIDIA LaunchPad
- B. NVIDIA Base Command Platform
- C. NVIDIA DGX Cloud
- D. NVIDIA DGX SuperPOD
Answer: D
Explanation:
TheNVIDIA DGX SuperPODis a turnkey AI supercomputing infrastructure designed for large-scale deep learning and high-performance computing workloads. It integrates multiple DGX systems with high-speed networking and storage solutions, providing a scalable and efficient platform for AI research institutions. The architecture supports rapid deployment and is optimized for training complex models, making it the ideal choice for environments demanding top-tier AI performance.
Reference:DGX SuperPOD Architecture - NVIDIA Docs
NEW QUESTION # 38
What are the necessary steps to upgrade the MLNX-OS on InfiniBand Switches?
- A. Remove the switches from the switch fabric, fetch the MLNX-OS software image, and use the 'upgrade' command to perform the upgrade.
- B. Restart the switches, connect to the switches using Telnet, and use the 'update' command to perform the upgrade.
- C. Power off the switches, insert the installation media, and power on the switches to start the upgrade process.
- D. Connect to the switches using SSH, fetch the MLNX-OS software image, and use the 'install' command to perform the upgrade.
Answer: D
Explanation:
To upgrade the MLNX-OS on InfiniBand switches, the recommended procedure is as follows:
* Connect to the switch via SSH: Establish a secure shell connection to the switch using its management IP address.
* Fetch the MLNX-OS software image: Obtain the appropriate MLNX-OS software image from the official source or repository.
* Use the 'install' command to perform the upgrade: Execute the 'install' command on the switch to initiate the upgrade process with the fetched software image.
This method ensures a smooth and efficient upgrade without the need for physical intervention or service disruption.
Reference Extracts from NVIDIA Documentation:
* "Click on Systems # MLNX-OS Upgrade. Select the desired upgrade method (e.g. 'Install from local file'). Select your image and click 'Install Image'."
NEW QUESTION # 39
Which of the following options correctly describes the difference between UFM Telemetry, UFM Enterprise, and UFM Cyber AI?
- A. UFM Telemetry focuses on network management and optimization, UFM Enterprise detects and mitigates network security threats, and UFM Cyber AI provides real-time monitoring and analysis of network performance.
- B. UFM Telemetry provides real-time monitoring and analysis of network performance, UFM Enterprise focuses on network management and optimization, and UFM Cyber AI detects and mitigates network security threats.
- C. UFM Telemetry detects and mitigates network security threats. UFM Enterprise provides real-time monitoring and analysis of network performance, and UFM Cyber AI focuses on network management and optimization.
- D. UFM Telemetry provides real-time monitoring and analysis of network performance. UFM Enterprise detects and mitigates network security threats, and UFM Cyber AI focuses on network management and optimization.
Answer: B
Explanation:
* UFM Telemetry: Provides real-time monitoring and analysis of network performance, collecting data such as port counters and cable information to assess the health and efficiency of the network.
* UFM Enterprise: Focuses on comprehensive network management and optimization, enabling administrators to monitor, operate, and optimize InfiniBand scale-out computing environments effectively.
* UFM Cyber AI: Detects and mitigates network security threats by analyzing telemetry data to identify anomalies and potential security issues within the network infrastructure.
Reference Extracts from NVIDIA Documentation:
* "UFM Telemetry provides real-time monitoring and analysis of network performance."
* "UFM Enterprise is a powerful platform for managing InfiniBand scale-out computing environments."
* "UFM Cyber-AI enhances the benefits of UFM Telemetry and UFM Enterprise services by detecting and mitigating network security threats."
NEW QUESTION # 40
A cloud service provider is deploying the NVIDIA Spectrum-X Ethernet platform in a multi-tenant environment. To ensure the security and isolation of each tenant's AI workload, the provider wants to implement a feature that prevents unauthorized accessto the network.
Which of the following features of the Spectrum-X platform should the provider implement?
- A. Streaming Telemetry
- B. Adaptive Routing
- C. Traffic Isolation
- D. Congestion Control
Answer: C
Explanation:
In multi-tenant AI cloud environments, ensuring that each tenant's workloads are isolated and secure is paramount. The NVIDIA Spectrum-X platform addresses this need through itsTraffic Isolationcapabilities.
This feature ensures that network resources are partitioned effectively, preventing unauthorized access and interference between tenants. By implementing Traffic Isolation, the provider can maintain strict boundaries between different tenant environments, ensuring both security and performance consistency.
Reference Extracts from NVIDIA Documentation:
* "Spectrum-X enhances multi-tenancy with performance isolation to ensure tenants' AI workloads perform optimally and consistently."
* "Spectrum-X utilizes the programmable congestion control function on the BlueField-3 hardware platform to accurately assess the congestion condition of the traffic path by using in-band telemetry information... to achieve the goal of performance isolation to ensure that each tenant gets the best expected performance in the cloud and is not negatively affected by congestion of other tenants."
NEW QUESTION # 41
Which of the following NCCL environment variables enable SHARP aggregation with NCCL when using the NCCL-SHARP plugin?
Pick the 2 correct responses below
- A. NCCLSPECTRUM_ENABLE=1
- B. NCCL_COLLNET_ENABLE=1
- C. NCCL_SHARP_AUTOINIT
- D. NCCL_ALGO=CollNet
Answer: B,C
Explanation:
To enable SHARP (Scalable Hierarchical Aggregation and Reduction Protocol) aggregation using theNCCL- SHARP plugin, the following two environment variables are required:
* NCCL_COLLNET_ENABLE=1
Enables NCCL's support for CollNet (Collective Network) operations, including SHARP.
* NCCL_SHARP_AUTOINIT=1
Automatically initializes the SHARP plugin when available, activating SHARP-based collectives.
From theNVIDIA NCCL User Guide - SHARP Plugin Section:
"NCCL_COLLNET_ENABLE must be set to enable collective network acceleration features."
"NCCL_SHARP_AUTOINIT enables automatic SHARP plugin integration at NCCL runtime." Incorrect Options:
* B. NCCL_ALGO=CollNet- This variable controls the algorithm used for collectives but does not enable SHARP.
* C. NCCLSPECTRUM_ENABLE- This is not a documented NCCL variable.
Reference: NCCL SHARP Plugin Guide & NCCL User Guide - Environment Variables Section
NEW QUESTION # 42
In a multi-tenant InfiniBand environment managed by UFM, you need to configure access controls to prevent unauthorized users from altering the fabric configuration. Which method is used within UFM to manage user access and ensure authorized modifications only?
- A. Digital Certification Management (DCM)
- B. Role-Based Access Control (RBAC)
- C. Network Access Control (NAC)
- D. Virtual Network Segmentation (VNS)
Answer: B
Explanation:
Role-Based Access Control (RBAC)is implemented within NVIDIA's Unified Fabric Manager (UFM) to manage user permissions effectively. RBAC allows administrators toassign roles to users, each with specific permissions, ensuring that only authorized individuals can make changes to the fabric configuration. This structured approach to access control enhances security by limiting the potential for unauthorized modifications and streamlines the management of user privileges across the network.
Reference:Role-Based Access Control (RBAC) - One Identity
NEW QUESTION # 43
You are configuring the Unified Fabric Manager (UFM) for an InfiniBand fabric in a multi-tenant environment. You need to implement a solution that can detect potential security threats.
Which UFM feature uses analytics to detect security threats and predict network failures in InfiniBand data centers?
- A. Cyber-AI platform
- B. Host Agent
- C. Enterprise platform
- D. Telemetry platform
Answer: A
Explanation:
The UFM Cyber-AI platform is an advanced feature of NVIDIA's Unified Fabric Manager designed to enhance security and reliability in InfiniBand data centers. It leverages AI-powered analytics and machine learning techniques to detect security threats, operational anomalies, and predict potential network failures.
By analyzing real-time and historical telemetry data, UFM Cyber-AI can identify abnormal system behaviors, performance degradations, and usage profile changes. This proactive approach enables administrators to address issues before they escalate, ensuring the integrity and uptime of the data center.
Reference Extracts from NVIDIA Documentation:
* "The NVIDIA Unified Fabric Manager (UFM) Cyber-AI platform offers enhanced and real-time network telemetry, combined with AI-powered intelligence and advanced analytics. It enables IT managers to discover operational anomalies and even predict network failures."
* "UFM Cyber-AI uses machine learning (ML) techniques and AI models for anomaly detection and prediction to learn the lifecycle patterns of data center network components."
* "The NVIDIA UFM platforms revolutionize data center networking management by combining enhanced, real-time network telemetry with AI-powered cyber intelligence and analytics to support scale-out InfiniBand data centers. ... The UFM Cyber-AI platform takes fabric management to the next level by adding an analytics layer powered by artificial intelligence. It enables data center operators to proactively monitor and manage the InfiniBand fabric, predicting and preventing potential failures, optimizing performance, and enhancing security. By analyzing telemetry data and historical patterns, UFM Cyber-AI can detect anomalies that may indicate security threats or operational issues, providing actionable insights to prevent downtime."
NEW QUESTION # 44
You are tasked with configuring multi-tenancy using partition key (PKey) for a high-performance storage fabric running on InfiniBand. Each tenant's GPU server is allowed to access the shared storage system but cannot communicate with another tenant's GPU server.
Which of the following partition key membership configurations would you implement to set up multi- tenancy in this environment?
- A. Assign full membership PKey to the shared storage system and limited membership PKey to each tenant's GPU servers.
- B. Assign limited membership to both GPU servers and storage system.
- C. Assign limited membership PKey to the shared storage system and full membership PKey to each tenant's GPU servers.
- D. Assign full membership to both GPU servers and storage system.
Answer: A
Explanation:
To enforce strictmulti-tenancy, where:
* Tenant A's GPUcannot talk toTenant B's GPU
* But both can accessshared storage
The correct solution is:
* Storage system # Full PKey membership
* Each tenant's GPU # Limited PKey membership
From theNVIDIA 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 tenantsfrom each other, while allowingshared access to storage.
Incorrect Options:
* Apermits tenant-to-tenant communication.
* Bisolates everything, including access to storage.
* Cprevents GPU access to storage.
Reference: NVIDIA InfiniBand - Multi-Tenant PKey Partitioning Design
NEW QUESTION # 45
You are using NVIDIA Air to simulate a Spectrum-X network for AI workloads. You want to ensure that your network configurations are optimal before deployment.
Which NVIDIA tool can be integrated with Air to validate network configurations in the digital twin environment?
- A. NetQ
- B. DOCA
- C. Spectrum-X Manager
- D. GPU Cloud
Answer: A
Explanation:
NVIDIA NetQ is a highly scalable network operations toolset that provides visibility, troubleshooting, and validation of networks in real-time. It delivers actionable insights and operational intelligence about the health of data center networks-from the container or host all the way to the switch and port-enabling a NetDevOps approach.
NetQ can be used as the functional test platform for the network CI/CD in conjunction with NVIDIA Air.
Customers benefit from testing the new configuration with NetQ in the NVIDIA Air environment ("digital twin") and fix errors before deploying to their production.
NEW QUESTION # 46
Which service on Cumulus switches can monitor layer 1, layer 2, layer 3, tunnel, buffer, and ACL related issues?
- A. NCLU
- B. BGP
- C. WJH
- D. ONIE
Answer: C
Explanation:
The "What Just Happened" (WJH) service on Cumulus switches provides real-time visibility into network problems by monitoring various layers and components, including layer 1, layer 2, layer 3, tunnel, buffer, and Access Control List (ACL) related issues. WJH streams detailed and contextual telemetry data, enabling administrators to diagnose and troubleshoot network problems effectively.
Reference Extracts from NVIDIA Documentation:
* "WJH can monitor layer 1, layer 2, layer 3, tunnel, buffer and ACL related issues."
* "The WJH service enables you to diagnose network problems by looking at dropped packets."
NEW QUESTION # 47
Why is the InfiniBand LRH called a local header?
- A. It allows traffic on a local link only.
- B. It provides the parameters for each local HCA.
- C. It provides the LIDs from the local subnet manager.
- D. It is used for routing traffic between nodes in the local subnet.
Answer: D
Explanation:
TheLocal 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 - NVIDIA Enterprise Support Portal
NEW QUESTION # 48
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