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NCP-AIN Dumps - NVIDIA-Certified Professional AI Networking Practice Exam Questions

NVIDIA NCP-AIN - NVIDIA-Certified Professional Practice Exam

  • Certification Provider:NVIDIA
  • Exam Code:NCP-AIN
  • Exam Name:NVIDIA-Certified Professional AI Networking Exam
  • Total Questions:70 Questions and Answers
  • Updated on:Jul 31, 2025
  • Product Format: PDF & Test Engine Software Version
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NVIDIA NCP-AIN This Week Result

NCP-AIN Question and Answers

Question # 1

What does NetQ leverage (in addition to NVIDIA "What Just Happened" switch telemetry data and NVIDIA DOCA telemetry) to help network operators proactively identify server and application root cause issues?

Options:

A.  

Flow telemetry

B.  

Behavioral telemetry

C.  

Application telemetry

D.  

Packet capture telemetry

Discussion 0
Question # 2

Why is the InfiniBand LRH called a local header?​

Options:

A.  

It is used for routing traffic between nodes in the local subnet.

B.  

It provides the LIDs from the local subnet manager.

C.  

It allows traffic on a local link only.

D.  

It provides the parameters for each local HC

A.  

Discussion 0
Question # 3

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

Options:

A.  

Connect to the switches using SSH, fetch the MLNX-OS software image, and use the 'install' command to perform the upgrade.

B.  

Power off the switches, insert the installation media, and power on the switches to start the upgrade process.

C.  

Restart the switches, connect to the switches using Telnet, and use the 'update' command to perform the upgrade.

D.  

Remove the switches from the switch fabric, fetch the MLNX-OS software image, and use the 'upgrade' command to perform the upgrade.

Discussion 0

PDF vs Software Version

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With the complete collection of NCP-AIN practice test, Exams4sure has assembled to take you through NVIDIA-Certified Professional test questions for your NVIDIA exam preparation. In this NCP-AIN exam dumps study guide we have compiled real NVIDIA-Certified Professional AI Networking exam questions with their answers so that you can prepare and pass NVIDIA-Certified Professional exam in your first attempt.

Why Prepare from NVIDIA-Certified Professional NCP-AIN Exam Dumps?

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One of the main reasons candidates might look towards NCP-AIN dumps is to familiarize themselves with the NVIDIA exam format. NVIDIA-Certified Professional practice exam can give a glimpse into the types of questions asked and how they are structured.

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NCP-AIN FAQs

The NCP-AIN is a professional-level certification offered by NVIDIA that validates your expertise in deploying, optimizing, and managing AI networks using NVIDIA technologies. It focuses on practical, real-world skills in AI data center networking.

The vendor is NVIDIA, a leading provider of AI hardware, software, and networking solutions for enterprise and research applications.

The exam assesses your knowledge of AI networking infrastructure, including protocols, architecture, high-speed networking, security, and tools like NVIDIA Cumulus Linux and NVIDIA NetQ.

Benefits include industry recognition, proof of advanced AI networking skills, enhanced career prospects, and the ability to handle complex AI infrastructure in real-world scenarios.

IT professionals, network engineers, and AI specialists working with NVIDIA-powered data centers or AI infrastructure should consider taking this exam.

While not mandatory, having foundational knowledge of networking, AI workloads, and experience with NVIDIA solutions is highly recommended.

The exam typically consists of multiple-choice and scenario-based questions, focused on real-world problem-solving in AI networking.

The exam duration is approximately 90 minutes, giving candidates ample time to tackle technical and practical questions.

The exam includes around 60 questions, though this may vary slightly with different exam versions.

This certification is especially valuable in data centers, AI/ML startups, cloud service providers, and high-performance computing (HPC) environments.

NCP-AIN specifically focuses on AI data center networking, unlike other NVIDIA certifications that may cover GPU acceleration, AI frameworks, or visualization.

No, it is vendor-specific and focuses on NVIDIA’s suite of networking technologies and solutions.

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