NVIDIA NCP-AIN Exam Practice Questions, practice question pack
NVIDIA · NCP-AIN

NVIDIA NCP-AIN Exam Practice Questions

70 questionsPDF by emailUpdated September 2026

US$39

Try 10 questions free

Card, Apple Pay or Google Pay. Your PDF is sent by email as soon as you check out.

Pass or your money backFail the exam after using this pack and we refund it. How the guarantee works
Category:
TRY BEFORE YOU BUY

Three of the 70 questions in this pack

Question 1

As the network administrator for a large-scale AI research cluster, you are responsible for ensuring seamless data flow across an InfiniBand eastwest fabric that interconnects hundreds of compute nodes. Which tool would you use to trace and discover the network paths between nodes on this InfiniBand eastwest fabric?

  1. tracert
  2. ibpathverify
  3. NetQ
  4. ibnetdiscover
Show answer and explanation

Correct answer: D. ibnetdiscover

ibnetdiscover is the standard NVIDIA/Mellanox tool for discovering and mapping InfiniBand fabric topology, including all nodes and their interconnections. It provides comprehensive fabric discovery capabilities essential for understanding network paths in large-scale InfiniBand clusters. While ibpathverify can verify paths, ibnetdiscover is the primary discovery tool for initially identifying all network paths and topology.

Why the other options are wrong

  • A. tracert is a Windows/general networking tool for IPv4/IPv6 paths, not designed for InfiniBand fabric discovery.
  • B. ibpathverify is used to verify existing paths, not discover new ones across the fabric.
  • C. NetQ is a network telemetry and monitoring tool, not a fabric discovery tool.

Question 2

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?

  1. CloudAI Benchmark
  2. MLNX-OS
  3. Ansible
  4. NetQ
Show answer and explanation

Correct answer: A. CloudAI Benchmark

CloudAI Benchmark is NVIDIA's dedicated benchmarking tool specifically designed for measuring and establishing performance baselines in AI environments, including Spectrum-X deployments. It provides standardized metrics for comparing performance across different configurations and time periods.

Why the other options are wrong

  • B. MLNX-OS is an operating system, not a benchmarking tool for establishing performance baselines.
  • C. Ansible is a configuration management tool, not designed for performance benchmarking.
  • D. NetQ is a network monitoring and telemetry tool, not a performance benchmarking solution.

Question 3

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?

  1. NVIDIA DGX SuperPOD
  2. NVIDIA Base Command Platform
  3. NVIDIA DGX Cloud
  4. NVIDIA LaunchPad
Show answer and explanation

Correct answer: A. NVIDIA DGX SuperPOD

NVIDIA DGX SuperPOD is the comprehensive reference architecture designed for large- scale AI research and high-performance computing environments. It provides an integrated, validated design for organizations needing to deploy GPU-accelerated AI clusters at scale with optimal interconnectivity and performance.

Why the other options are wrong

  • B. NVIDIA Base Command Platform is a software platform for cluster management and orchestration, not a physical reference architecture.
  • C. NVIDIA DGX Cloud is a cloud-based service offering, not a on-premises reference architecture for a research institution building its own data center.
  • D. NVIDIA LaunchPad is a hands-on demonstration and prototyping environment, not a production reference architecture design.

See all 10 free questions Get the full pack, US$39

70 practice questions for NVIDIA AI Networking Professional (NCP-AIN), with full explanations.

Every question comes with the correct answer, the reasoning behind it, and a short note on why each wrong option is wrong. Work through it once with the answers, then again with the questions-only copy under exam conditions.

  • 70 questions mapped to the NCP-AIN exam blueprint, across all six domains
  • Answers and explanations for every question, including why each wrong option is wrong
  • A questions-only PDF for timed practice runs
  • Instant delivery by email the moment you check out
  • Free monthly updates for as long as the exam is live
  • Pass or your money back

An NCP-AIN attempt costs US$400. This pack is US$39, paid once.

Try 10 questions free before you buy.

Last updated September 2026 · 70 questions

What makes the NCP-AIN hard

NCP-AIN is the networking exam in NVIDIA’s professional tier, and the one where a conventional data centre networking background helps least. The blueprint is split down the middle between Spectrum-X Ethernet and InfiniBand, and the questions assume both have been configured for GPU-to-GPU traffic. NVIDIA expanded the exam in 2026 to 70 to 75 questions in 120 minutes, up from around 65 in 90, so the current form is longer and denser than older prep material suggests.

NVIDIA Spectrum Networking and NVIDIA InfiniBand Networking are 30% each. Spectrum covers configuring Spectrum-X switches for RoCE, enabling and verifying QoS, ECN and PFC, adaptive routing and telemetry, BGP-EVPN for multi-tenancy, NVIDIA Air for simulation, diagnosing congestion and packet loss with in-band telemetry and What Just Happened, NetQ monitoring, and installing DOCA to configure SuperNIC packet processing and congestion control. InfiniBand covers initial configuration and provisioning with high availability, partition keys for secure multi-tenancy, QoS and adaptive routing, and UFM for link status and bandwidth utilisation.

Troubleshooting Tools is 20% and covers cl-resource-query, WJH event analysis, verifying low-latency interconnects between GPUs, CPUs and storage, UFM system health, and the ib_write_lat, ib_write_bw, ibping, ibstat, ibdiagnet, ibnodes and iblinkinfo command set. Automation and Configuration is 10%, and AI Data Center Design and Kubernetes Integration are 5% each. Know what a healthy ibdiagnet run looks like: several questions show output and ask what is wrong.

About the exam

NCP-AIN (NVIDIA-Certified Professional: AI Networking) is an intermediate-level certification validating the ability to deploy and configure NVIDIA networking for AI workloads: AI data centre design, Spectrum-X Ethernet, InfiniBand, Kubernetes integration, troubleshooting tools and automation. NVIDIA recommends two to three years of data centre experience with NVIDIA hardware.

Exam domains

  • AI Data Center Design and Optimization: 5%
  • NVIDIA Spectrum Networking: 30%
  • NVIDIA InfiniBand Networking: 30%
  • Kubernetes Integration: 5%
  • Troubleshooting Tools: 20%
  • Automation and Configuration: 10%

70 to 75 questions, 120 minutes, US$400 per attempt, online remote proctored through Certiverse. NVIDIA does not publish a passing score for this exam. Certification valid for two years.

Reviews

There are no reviews yet.

Only logged in customers who have purchased this product may leave a review.

Questions before you buy

What do I get when I buy the NVIDIA NCP-AIN pack?

70 practice questions as a PDF, each with the correct answer, a full explanation and a note on why the other options are wrong, plus a separate questions-only PDF for timed practice.

How quickly do I receive it?

Your PDF is prepared and sent to your email address after checkout, and you get a confirmation as soon as it is on its way.

Is there a free sample?

Yes. Ten questions from this pack, with answers and explanations, are free on this page and as a PDF, so you can judge the quality before you pay.

Are updates included?

Yes. The pack is updated every month for as long as the exam is live, and updates are free for everyone who has bought it.

What if I fail the exam?

We refund the pack. Sit the exam 7 to 30 days after buying, then send your official score report within 7 days of the exam date, as set out in the refund policy.

Can I share it with colleagues?

Each purchase is licensed to one person. For a team, school or training organisation, email support@certstash.com for a licence that fits.

Related products