合格させるNCP-AINブレーン問題集で更新されたのは認定サンプル問題 [Q10-Q33]

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合格させるNCP-AINブレーン問題集で更新されたのは認定サンプル問題

オンラインNCP-AINテストブレーン問題集とテストエンジン

質問 # 10
You are optimizing an InfiniBand network for AI workloads that require low-latency and high-throughput data transfers. Which feature of InfiniBand networks minimizes CPU overhead during data transfers?

  • A. PKey
  • B. TCP/IP Offloading
  • C. Direct Memory Access (DMA)
  • D. SHARP

正解:C

解説:
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.


質問 # 11
What are the prerequisites for performing Flow Analysis with NetQ?

  • A. Cumulus 5.x and later / Spectrum-3 and later / On-premises deployment
  • B. Cumulus 5.x and later / Spectrum-2 and later / LCM enabled
  • C. Cumulus 5.x and later / Spectrum-2 and later / On-premises deployment
  • D. Cumulus 4.x and later / Spectrum-2 and later / LCM enabled

正解:B

解説:
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


質問 # 12
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. DOCA
  • B. NetQ
  • C. GPU Cloud
  • D. Spectrum-X Manager

正解:B

解説:
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.


質問 # 13
You are troubleshooting InfiniBand connectivity issues in a cluster managed by the NVIDIA Network Operator. You need to verify the status of the InfiniBand interfaces. Which command should you use to check the state and link layer of InfiniBand interfaces on a node?

  • A. ifconfig ib0
  • B. ip link show dev ib0
  • C. rdma show devices
  • D. ibstat -d mlx5_X

正解:D

解説:
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 - Network Operator Section


質問 # 14
When utilizing the ib_write_bw tool for performance testing, what does the -S flag define?

  • A. The burst size
  • B. The maximum rate of sent packages
  • C. Which service level to use
  • D. The number of QP's

正解:C

解説:
FromNVIDIA 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:
* A- No such flag for burst size.
* B- -q defines number of QPs.
* C- --rate or -R is used for rate-limiting.
Reference: NVIDIA InfiniBand Performance Guide - ib_write_bw Options Section


質問 # 15
How is congestion evaluated in an NVIDIA Spectrum-X system?

  • A. By assessing the physical distance between network devices.
  • B. By analyzing the egress queue loads ensuring all ports are well-balanced.
  • C. By measuring the number of connected devices in the network.
  • D. By monitoring the CPU and power usage of network devices.

正解:B

解説:
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.


質問 # 16
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. InfiniBand for both intra-node and inter-node GPU communication.
  • B. PCIe for intra-node GPU communication and RoCE for inter-node communication.
  • C. NVLink for both intra-node and inter-node GPU communication.
  • D. NVLink for intra-node GPU communication and InfiniBand for inter-node communication.

正解:D

解説:
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


質問 # 17
What is the purpose of WJH (What Just Happened)?

  • A. Send notifications of failed login attempts to a pre-defined Slack channel.
  • B. Identify potential cyberattacks or unusual traffic patterns across the cluster.
  • C. Provide contextual information regarding dropped packets in order to aid debugging.
  • D. Collate operating system logs and diagnose system crashes.

正解:C

解説:
NVIDIA's What Just Happened (WJH) is a feature that provides real-time visibility into network problems by analyzing all packets passing through the switch and alerting on performance issues caused by packet drops, congestion, high latency, or misconfigurations.
WJH retains the last packets that were dropped from the switch with complete packet headers and the actual drop reason. This enhances the ability to debug network problems, identify affected flows, and decrease time- to-repair.


質問 # 18
What are two methods for accessing the operating system on a BlueField DPU?
Pick the 2 correct responses below

  • A. Via the Redfish API
  • B. Via the networking interfaces (data ports) in NIC mode
  • C. Via rshim over a USB connection on the host
  • D. Via the rshim interface over the PCIe bus

正解:C、D

解説:
Accessing theBlueField DPU Operating System (OS)is possible throughrshim, either over PCIe or USB, and viaSSH through the OOB interfacewhen in DPU mode.
From theNVIDIA BlueField Software Documentation:
"You can access the BlueField OS through the rshim interface. The rshim module enables host-to-DPU communication either via PCIe (default) or USB."
* B. rshim over PCIe: Default when BlueField is installed in a host.
* D. rshim over USB: Useful for provisioning or systems without PCIe drivers.
Incorrect Options:
* A (NIC mode): BlueField acts as a transparent NIC; OS access is not available to the host.
* C (Redfish): Redfish is for out-of-band management, not direct OS-level access.
Reference: Accessing BlueField OS - rshim via PCIe and USB Methods


質問 # 19
You are concerned about potential security threats and unexpected downtime in your InfiniBand data center.
Which UFM platform uses analytics to detect security threats, operational issues, and predict network failures in InfiniBand data centers?

  • A. Cyber-AI Platform
  • B. Host Agent
  • C. Telemetry Platform
  • D. Enterprise Platform

正解:A

解説:
TheNVIDIA UFM Cyber-AI Platformis 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


質問 # 20
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. Congestion Control
  • B. Streaming Telemetry
  • C. Traffic Isolation
  • D. Adaptive Routing

正解:C

解説:
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."


質問 # 21
A major cloud provider is designing a new data center to support large-scale AI workloads, particularly for training large language models. They want to optimize their network architecture for maximum performance and efficiency.
Why is a rail-optimized topology considered a best practice for AI network architecture in this scenario?

  • A. It maximizes the number of network hops to increase data redundancy.
  • B. It provides optimal GPU-to-GPU communication and reduces network interference between flows.
  • C. It simplifies network management by using a single large switch for all connections.
  • D. It prioritizes north-south traffic over east-west traffic for better internet connectivity.

正解:B

解説:
A rail-optimized topology is designed to enhance GPU-to-GPU communication by connecting each GPU's Network Interface Card (NIC) to a dedicated rail switch. This configuration ensures predictable traffic patterns and minimizes network interference between data flows, which is crucial for the performance of large-scale AI workloads, such as training large language models. By reducing contention and latency, this topology supports efficient and scalable AI training environments.
Reference Extracts from NVIDIA Documentation:
* "Rail-optimized network topology helps maximize all-reduce performance while minimizing network interference between flows."
* "A Rail Optimized Stripe Architecture provides efficient data transfer between GPUs, especially during computationally intensive tasks such as AI Large Language Models (LLM) training workloads, where seamless data transfer is necessary to complete the tasks within a reasonable timeframe."


質問 # 22
A fabric administrator added new servers to a 40-port edge switch. The administrator now needs to gather and map the newly added ports' LIDs and LINK SPEED. Which of the following commands can be used for that purpose?

  • A. ib_check_routes
  • B. ibnetdiscover
  • C. ibswitches
  • D. ibhosts

正解:B

解説:
The correct utility isibnetdiscover.
From the official NVIDIA InfiniBand Utilities Guide:
"ibnetdiscover scans the fabric and returns a topology of all switches and end nodes, including their GUIDs, LIDs, port numbers, and link speeds." It generates a fabric map with node-to-port relationships and shows:
* GUIDs
* LIDs (Local IDs)
* Link speeds and widths
* Switch-to-host connections
This is essential for network topology validation and mapping physical port additions.
Incorrect Options:
* ib_check_routes- for routing table diagnostics.
* ibhosts- shows host information but not switch-level port mapping.
* ibswitches- shows switch info, but lacks port-level LID/link speed mapping.
Reference: NVIDIA InfiniBand Tools - ibnetdiscover Utility


質問 # 23
What are the necessary steps to upgrade the MLNX-OS on InfiniBand Switches?

  • A. Restart the switches, connect to the switches using Telnet, and use the 'update' command to perform the upgrade.
  • B. Connect to the switches using SSH, fetch the MLNX-OS software image, and use the 'install' 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. Remove the switches from the switch fabric, fetch the MLNX-OS software image, and use the 'upgrade' command to perform the upgrade.

正解:B

解説:
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'."


質問 # 24
You are deploying a Kubernetes cluster for AI workloads using NVIDIA Spectrum-X switches. You need to automate the deployment and management of networking components in this environment.
Which NVIDIA tool is specifically designed to automate the deployment and management of networking components in a Kubernetes cluster with Spectrum-X switches?

  • A. Mellanox OFED
  • B. Network Operator
  • C. Container Runtime
  • D. GPU Operator

正解:B

解説:
TheNVIDIA Network Operatoris designed to simplify and automate the deployment and management of networking components in Kubernetes clusters, particularly those utilizing NVIDIA Spectrum-X switches. It manages the installation and configuration of necessary drivers, plugins, and other networking resources to enable features like RDMA and GPUDirect RDMA, which are essential for high-performance AI workloads.
By leveraging Kubernetes Custom Resource Definitions (CRDs) and the Operator Framework, the Network Operator ensures that networking components are consistently and correctly configured across the cluster, reducing manual intervention and potential configuration errors.
Reference:NVIDIA Network Operator Documentation


質問 # 25
You have recently implemented NVIDIA Spectrum-X in your data center to optimize AI workloads. You need to verify the performance improvements and create a baseline for future comparisons.
Which tool would be most appropriate for creating performance baseline results in this Spectrum-X environment?

  • A. CloudAI Benchmark
  • B. Ansible
  • C. NetQ
  • D. MLNX-OS

正解:A

解説:
TheCloudAI Benchmarkis designed to evaluate and establish performance baselines in AI-optimized networking environments like NVIDIA Spectrum-X. It assesses various performance metrics, including throughput and latency, ensuring that the network meets the demands of AI workloads. This benchmarking is essential for validating the benefits of Spectrum-X and for ongoing performance monitoring.
Reference:NVIDIA Spectrum-X Validated Solution Stack


質問 # 26
You are implementing a multi-tenant environment on your Spectrum-X switches for different departments in your organization. You need to ensure that eachdepartment's network traffic is isolated and secure.
Which Spectrum-X security feature would be most effective in creating isolated network environments for each department?

  • A. Enable Link Layer Discovery Protocol (LLDP)
  • B. Configure Virtual Routing and Forwarding (VRF)
  • C. Set UP Port Mirroring
  • D. Implement Access Control Lists (ACLs)

正解:B

解説:
Virtual Routing and Forwarding (VRF)is the most effective method to achievenetwork segmentation and isolationin a multi-tenant environment.
From theNVIDIA Cumulus Linux Documentation - VRF Section:
"VRF allows multiple instances of routing tables to coexist within the same switch, effectively isolating traffic between tenants or departments." Each department can:
* Operate in its own VRF domain
* Have independent routing tables
* Maintain strict separation of Layer 3 paths
Incorrect Options:
* A (Port Mirroring)- Used for traffic monitoring, not isolation.
* C (ACLs)- Useful for fine-grained filtering, but not scalable tenant isolation.
* D (LLDP)- Used for neighbor discovery, not security or isolation.
Reference: Cumulus Linux - VRF Support on Spectrum Switches


質問 # 27
You are troubleshooting a Spectrum-X network and need to validate the fabric configuration. Which feature of Spectrum-X allows for automated fabric validation?

  • A. NVIDIA DOCA
  • B. RoCE Adaptive Routing
  • C. RoCE Performance Isolation
  • D. NVIDIA NetQ

正解:D

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 # 28
You are tasked with troubleshooting a link flapping issue in an InfiniBand AI fabric. You would like to start troubleshooting from the physical layer.
What is the right NVIDIA tool to be used for this task?

  • A. tcpdump tool
  • B. mlxlink utility
  • C. nvidia-smi utility

正解:B

解説:
The mlxlink tool is used to check and debug link status and issues related to them. The tool can be used on different links and cables (passive, active, transceiver, and backplane). It is intended for advanced users with appropriate technical background.
Reference:mlxlink Utility - NVIDIA Docs


質問 # 29
Which tool would you use to gather telemetry data in a SpectrumX network?

  • A. BCM
  • B. NetQ
  • C. UFM
  • D. NVIEW

正解:B

解説:
The NVIDIA Spectrum-X networking platform is an Ethernet-based solution optimized for AI workloads, combining Spectrum-4 switches, BlueField-3 SuperNICs, and advanced software to deliver high performance and low latency. Gathering telemetry data is critical for optimizing Spectrum-X networks, as it provides visibility into network performance, congestion, and potential issues. The question asks for the tool used to collect telemetry data in a Spectrum-X network.
According to NVIDIA's official documentation, NVIDIA NetQ is the primary tool for gathering telemetry data in Ethernet-based networks, including those running on Spectrum-X platforms with Cumulus Linux or SONiC. NetQ is a network operations toolset that provides real-time monitoring, telemetry collection, and analytics for network health, enabling administrators to optimize performance, troubleshoot issues, and validate configurations. It collects detailed telemetry data such as link status, packet drops, latency, and congestion metrics, which are essential for Spectrum-X optimization.
Exact Extract from NVIDIA Documentation:
"NVIDIA NetQ is a highly scalable network operations tool that provides telemetry-based monitoring and analytics for Ethernet networks, including NVIDIA Spectrum-X platforms. NetQ collects real-time telemetry data from switches and hosts, offering insights into network performance, congestion, and connectivity. It supports Cumulus Linux and SONiC environments, making it ideal for optimizing Spectrum-X networks by providing visibility into key metrics like latency, throughput, and packet loss."
-NVIDIA NetQ User Guide
This extract confirms that option C, NetQ, is the correct tool for gathering telemetry data in a Spectrum-X network. NetQ's integration with Spectrum-X switches and its ability to collect and analyze telemetry data make it the go-to solution for network optimization tasks.


質問 # 30
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. Separated Host mode
  • B. NIC mode
  • C. Restricted mode
  • D. DPU mode

正解:D


質問 # 31
Which of the following statements are true about AI workloads and adaptive routing?
Pick the 2 correct responses below.

  • A. AI workloads are made of a small number of volumetric flows called elephant flows.
  • B. Flow-based load balancing mechanisms increase congestion risk.
  • C. ECMP-based load balancing works best for AI workloads.
  • D. AI workloads have very high entropy that helps spread traffic evenly without congestion.

正解:A、B

解説:
AI workloads, particularly in large-scale training scenarios, are characterized by a small number of high- bandwidth, long-lived flows known as "elephant flows." These flows can dominate network traffic and are prone to causing congestion if not managed effectively.
Traditional flow-based load balancing mechanisms, such as Equal-Cost Multipath (ECMP), distribute traffic based on flow hashes. However, in AI workloads with lowentropy (i.e., limited variability in flow characteristics), ECMP can lead to uneven traffic distribution and congestion on certain paths.
Adaptive routing techniques, which dynamically adjust paths based on real-time network conditions, are more effective in managing AI traffic patterns and mitigating congestion risks.
Reference:Powering Next-Generation AI Networking with NVIDIA SuperNICs


質問 # 32
When creating a simu-lation in NVIDIA AIR, what syntax would you use to define a link between port 1 on spine-01 and port 41 on gpu-leaf-01?

  • A. "spine-01":"eth1" - "gpu-leaf-01":"eth41"
  • B. "spine-01":*swp01" - *gpu-leaf-01":"swp41"
  • C. "spine-01":"swp1" to "gpu-leaf-01":"swp41"
  • D. "spine-01 'eth1" to "gpu-leaf-01":"eth41"

正解:B

解説:
NVIDIA AIR (AI-Ready Infrastructure) is a cloud-based simulation platform designed to model and validate data center network deployments, including Spectrum-X Ethernet networks, using realistic topologies and configurations. When creating a custom topology in NVIDIA AIR, users can define network links between devices (e.g., spine and leaf switches) using a DOT file format, which is based on the Graphviz graph visualization software. The question asks for the correct syntax to define a link between port 1 on a spine switch (spine-01) and port 41 on a leaf switch (gpu-leaf-01) in a NVIDIA AIR simulation.
According to NVIDIA's official NVIDIA AIR documentation, the DOT file format is used to specify network topologies, including nodes (devices) and links (connections between ports). The syntax for defining a link in a DOT file uses a double dash (--) to indicate a connection between two ports, with each port specified in the format "<node>":"<port>". For Spectrum-X networks, which typically use Cumulus Linux or SONiC on NVIDIA Spectrum switches, ports are commonly labeled as swpX (switch port X) rather than ethX (Ethernet interface), especially for switch-to-switch connections in a leaf-spine topology. The correct syntax for the link between port 1 on spine-01 and port 41 on gpu-leaf-01 is:
"spine-01":"swp01" -- "gpu-leaf-01":"swp41"
This syntax uses swp01 and swp41 to denote switch ports, consistent with Cumulus Linux conventions, and the double dash (--) to indicate the link, as required by the DOT file format.
Exact Extract from NVIDIA Documentation:
"You can create custom topologies in Air using a DOT file, which is the file type used with the open-source graph visualization software, Graphviz. DOT files define nodes, attributes, and connections for generating a topology for a network. The following is an example of a link definition in a DOT file:
"leaf01":"swp31" -- "spine01":"swp1"
This specifies a connection between port swp31 on leaf01 and port swp1 on spine01. Port names typically follow the switch port naming convention (e.g., swpX) for Cumulus Linux-based switches."
-NVIDIA Air Custom Topology Guide
This extract confirms that option A is the correct answer, as it uses the proper DOT file syntax with swp01 and swp41 for port names and the double dash (--) for the link, aligning with NVIDIA AIR's topology definition process for Spectrum-X simulations.
Analysis of Other Options:
* B. "spine-01":"swp1" to "gpu-leaf-01":"swp41": This option uses the correct port naming convention (swp1 and swp41) but incorrectly uses the word to as the connector instead of the double dash (--). The DOT file format requires -- to define links, making this syntax invalid for NVIDIA AIR.
* C. "spine-01":"eth1" to "gpu-leaf-01":"eth41": This option uses ethX port names, which are typically used for host interfaces (e.g., servers) rather than switch ports in Cumulus Linux or SONiC environments. Switch ports in Spectrum-X topologies are labeled swpX. Additionally, the use of to instead of -- is incorrect for DOT file syntax, making this option invalid.
* D. "spine-01":"eth1" - "gpu-leaf-01":"eth41": This option uses a single dash (-) instead of the required double dash (--) and incorrectly uses ethX port names instead of swpX. The ethX naming is not standard for switch ports in Spectrum-X, and the single dash is not valid DOT file syntax, making this option incorrect.
Why "spine-01":"swp01" -- "gpu-leaf-01":"swp41" is the Correct answer:
Option A correctly adheres to the DOT file syntax used in NVIDIA AIR for defining network links:
* Node and Port Naming: The nodes spine-01 and gpu-leaf-01 are specified with their respective ports swp01 and swp41, following the swpX convention for switch ports in Cumulus Linux-based Spectrum- X switches.
* Link Syntax: The double dash (--) is the standard connector in DOT files to indicate a link between two ports, as required by Graphviz and NVIDIA AIR.
* Spectrum-X Context: In a Spectrum-X leaf-spine topology, connections between spine and leaf switches (e.g., Spectrum-4 switches) use switch ports labeled swpX, making swp01 and swp41 appropriate for this simulation.
This syntax ensures that the NVIDIA AIR simulation accurately models the physical connection between spine-01 port 1 and gpu-leaf-01 port 41, enabling validation of the Spectrum-X network topology. The DOT file can be uploaded to NVIDIA AIR to generate the topology, as described in the documentation.


質問 # 33
......

リアルNVIDIA NCP-AIN試験問題集には正解72問題と解答があります:https://www.passtest.jp/NVIDIA/NCP-AIN-shiken.html

NVIDIA NCP-AIN認定のリアル2025年最新の模擬試験:https://drive.google.com/open?id=1v-RYhJsYC8hp0G9-ZkTgEnj6BNcsoFNx