PASS GUARANTEED QUIZ NCP-AIN - MARVELOUS NVIDIA-CERTIFIED PROFESSIONAL AI NETWORKING ACCURATE STUDY MATERIAL

Pass Guaranteed Quiz NCP-AIN - Marvelous NVIDIA-Certified Professional AI Networking Accurate Study Material

Pass Guaranteed Quiz NCP-AIN - Marvelous NVIDIA-Certified Professional AI Networking Accurate Study Material

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Tags: NCP-AIN Accurate Study Material, New NCP-AIN Test Simulator, Sample NCP-AIN Questions Answers, Exam NCP-AIN Questions, NCP-AIN Exam Sample

If you have prepared well, tried all the NVIDIA-Certified Professional AI Networking Exams, and understood each concept clearly, there is minimal or no chance of failure. Desktop Practice exam software and web-based NVIDIA-Certified Professional AI Networking (NCP-AIN) practice test are available at ValidTorrent. These NVIDIA-Certified Professional AI Networking (NCP-AIN) practice test questions are customizable and give real NVIDIA-Certified Professional AI Networking (NCP-AIN) exam experience. Windows computers support desktop software. The web-based NCP-AIN practice exam is supported by all browsers and operating systems.

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
  • 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.
Topic 3
  • 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.

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NVIDIA-Certified Professional AI Networking Sample Questions (Q45-Q50):

NEW QUESTION # 45
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. ibv_devices -c mlx5_0
  • B. ibstat -d mlx5_X
  • C. sudo ibnodes -C mlx5_0
  • D. cat /proc/net/ib/device

Answer: B

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 # 46
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 to both GPU servers and storage system.
  • B. Assign limited membership to both GPU servers and storage system.
  • C. Assign full membership PKey to the shared storage system and limited membership PKey to each tenant's GPU servers.
  • D. Assign limited membership PKey to the shared storage system and full membership PKey to each tenant's GPU servers.

Answer: C

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 # 47
When utilizing the ib_write_bw tool for performance testing, what does the -S flag define?

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

Answer: B

Explanation:
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


NEW QUESTION # 48
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?

  • A. OFED Driver
  • B. NV IPAM
  • C. RDMA Shared Device Plugin
  • D. Secondary Network

Answer: C

Explanation:
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."


NEW QUESTION # 49
What are the necessary steps to upgrade the MLNX-OS on InfiniBand Switches?

  • A. Connect to the switches using SSH, fetch the MLNX-OS software image, and use the 'install' 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. Remove the switches from the switch fabric, fetch the MLNX-OS software image, and use the 'upgrade' command to perform the upgrade.
  • D. Power off the switches, insert the installation media, and power on the switches to start the upgrade process.

Answer: A

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 # 50
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