FREE PDF ACCURATE NVIDIA - NCP-AIN - NVIDIA-CERTIFIED PROFESSIONAL AI NETWORKING VALID EXAMCOLLECTION

Free PDF Accurate NVIDIA - NCP-AIN - NVIDIA-Certified Professional AI Networking Valid Examcollection

Free PDF Accurate NVIDIA - NCP-AIN - NVIDIA-Certified Professional AI Networking Valid Examcollection

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Tags: NCP-AIN Valid Examcollection, NCP-AIN Latest Braindumps Book, Reliable NCP-AIN Test Notes, NCP-AIN Test Guide, Reliable NCP-AIN Exam Simulations

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NVIDIA NCP-AIN Exam Syllabus Topics:

TopicDetails
Topic 1
  • InfiniBand Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures skills of Data Center Network Administrators and covers the configuration and operational maintenance of NVIDIA InfiniBand switches. It includes setting up InfiniBand fabrics for multi-tenant environments, managing subnet configurations, testing connectivity, and using UFM to troubleshoot and analyze issues. It also focuses on validating rail-optimized topologies for optimal network performance.
Topic 2
  • Architecture: This section of the exam measures skills of AI Infrastructure Architects and covers the ability to distinguish between AI factory and AI data center architectures. It includes understanding how Ethernet and InfiniBand differ in performance and application, and identifying the right storage options based on speed, scalability, and cost to fit AI networking needs.
Topic 3
  • Spectrum-X Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures skills of Network Performance Engineers and covers configuring, managing, and securing NVIDIA Spectrum-X switches. It includes setting performance baselines, resolving performance issues, and using diagnostic tools such as CloudAI benchmark, NCCL, and NetQ. It also emphasizes leveraging DPUs for network acceleration and using monitoring tools like Grafana and SNMP for telemetry analysis.

NVIDIA-Certified Professional AI Networking Sample Questions (Q25-Q30):

NEW QUESTION # 25
You're troubleshooting a Spectrum-X network and notice that the System Status LED on a switch is blinking for more than 5 minutes. What is the most likely cause of this issue?

  • A. The Onyx software did not boot properly
  • B. The power supply unit is failing
  • C. The switch is overheating

Answer: A

Explanation:
According to theNVIDIA Spectrum-X Switch Operating System (SX_OS) Troubleshooting Guide, the System Status LED behavioris a critical indicator of the switch's internal operational state.
From the document:
"The System Status LED will blink green during system initialization. If the LED continues blinking for more than 5 minutes, it indicates that the Onyx OS hasfailed to load properly. The system may be stuck in the boot process, or the file system may be corrupted." This blinking LED beyond normal initialization time indicates that the system has either encountered a failure during software boot or is unable to transition from bootloader to the OS runtime environment (i.e., Onyx).
Key causes include:
* Corrupted or missing system files.
* Failed firmware or OS upgrade attempts.
* Boot device (e.g., eMMC or SSD) issues or corrupted partitions.
Technically, during power-on:
* The switch performs POST (Power-On Self Test).
* Then the Onyx OS attempts to load from the boot partition.
* If the Onyx OS kernel or root filesystem is invalid, the system halts boot, and the LED remains in a blinking state, as no successful OS load confirmation is triggered.
Remediation Steps (as per NVIDIA guide):
* Access the switch throughconsoleandmonitor boot logs.
* UseONIE recoveryor re-flash a stable Onyx OS version.
* Check system storage integrity using built-in diagnostics.
Exact Extract Reference:
Source: NVIDIA SX_OS 3.9.3000 Documentation
Topic: Troubleshooting System Status LED
Extract: "If the LED blinks for more than 5 minutes and the switch is not accessible via CLI, the Onyx software failed to load properly and recovery procedures must be initiated."


NEW QUESTION # 26
What command sequence is used to identify the exact name of the server that runs as the master SM in a multi-node fabric?

  • A. sminfo
    smpquery Nl <LID>
  • B. ibstat
    sminfo <LID>
  • C. ibis
    ibsim <LID>
  • D. sminfo
    smpquery ND <LID>

Answer: D

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 - sminfo & smpquery Usage


NEW QUESTION # 27
Which tool would you use to gather telemetry data in a SpectrumX network?

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

Answer: C

Explanation:
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.


NEW QUESTION # 28
Which of the following commands would you use to assign the IP address 20.11.12.13 to the management interface in SONiC?

  • A. nv set interface mgmt ip 20.11.12.13 20.11.12.254
  • B. config ip add etho 20.11.12.13/24 20.11.12.254
  • C. sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254
  • D. interface mgmt0 vrf mgmt ip address 20.11.12.13 20.11.12.254

Answer: C

Explanation:
In SONiC, to assign a static IP address to the management interface, the correct command is:
sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254
This command sets the IP address and the default gateway for the management interface.
SONiC (Software for Open Networking in the Cloud) is an open-source network operating system used on NVIDIA Spectrum-X platforms, including Spectrum-4 switches, to provide a flexible and scalable networking solution for AI and HPC data centers. Configuring the management interface in SONiC is a critical task for enabling remote access and network management. The question asks for the correct command to assign the IP address 20.11.12.13 to the management interface, typically identified as eth0 in SONiC, as it is the default management interface for out-of-band management.
Based on NVIDIA's official SONiC documentation, the correct command to assign an IP address to the management interface involves using the config command-line utility, which is part of SONiC's configuration framework. The command sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254 is the standard method to configure the IP address and gateway for the eth0 management interface. This command specifies the interface (eth0), the IP address with its subnet mask (20.11.12.13/24), and the default gateway (20.11.12.254), ensuring proper network connectivity.
Exact Extract from NVIDIA Documentation:
"To configure the management interface in SONiC, use the config interface ip add command. For example, to assign an IP address to the eth0 management interface, run:
sudo config interface ip add eth0 <IP_ADDRESS>/<PREFIX_LENGTH> <GATEWAY> Example:
sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254
This command adds the specified IP address and gateway to the management interface, enabling network access."
-NVIDIA SONiC Configuration Guide
This extract confirms that option C is the correct command for assigning the IP address to the management interface in SONiC. The use of sudo ensures the command is executed with the necessary administrative privileges, and the syntax aligns with SONiC's configuration model, which persists the changes in the configuration database.
Reference:Dell EMC Networking S-Series Basic Switch Management Configuration


NEW QUESTION # 29
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. Ansible
  • B. CloudAI Benchmark
  • C. NetQ
  • D. MLNX-OS

Answer: B

Explanation:
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


NEW QUESTION # 30
......

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