NVIDIA NCP-AIN Exam Dumps

Get All AI Networking Exam Questions with Validated Answers

NCP-AIN Pack
Vendor: NVIDIA
Exam Code: NCP-AIN
Exam Name: AI Networking
Exam Questions: 70
Last Updated: October 4, 2026
Related Certifications: NVIDIA-Certified Professional
Exam Tags: Advanced NVIDIA Network EngineersData center administratorsand Storage administrators
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Free NVIDIA NCP-AIN Exam Actual Questions

Question No. 1

[Spectrum-X Optimization]

Your organization is planning to utilize Ethernet for an upcoming AI project. Spectrum-X is the selected platform for this deployment, and Adaptive Routing is a key feature.

What are the requirements included in the Spectrum-X RA for adaptive routing?

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Correct Answer: B

The NVIDIA Spectrum-X Reference Architecture (RA) 1.0.1 is designed for Ethernet AI cloud deployments and includes the SN5600 Spectrum-4 switches and BlueField-3 SuperNICs. This architecture supports adaptive routing and DOCA programmable congestion control (PCC) for lossless RoCE traffic, optimizing performance for AI workloads.

The SN5600 switch offers 64 ports of 800GbE in a dense 2U form factor, providing high throughput and low latency essential for AI applications.


Question No. 2

[InfiniBand Optimization]

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?

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Correct Answer: C

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.


Question No. 3

[InfiniBand Troubleshooting]

You are troubleshooting connectivity issues in your InfiniBand network and need to test basic connectivity between nodes. Which command should you use to test basic connectivity between InfiniBand nodes?

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Correct Answer: A

The tool specifically designed for testing InfiniBand connectivity is **ibping**. It functions similarly to the traditional ping utility but is optimized for InfiniBand fabrics.

From the NVIDIA InfiniBand Diagnostic Utilities Documentation:

'ibping tests the connectivity of InfiniBand nodes by sending management datagrams (MADs) and verifying the response from the destination LID or GUID.'

Tests basic node-to-node reachability

Supports testing via LID, GUID, or port number

Helps verify subnet manager routing and fabric health

Incorrect Options:

ping and traceroute are IP-based, not fabric-aware.

ibnetdiscover maps topology but doesn't test live connectivity.


Question No. 4

[InfiniBand Security]

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?

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Correct Answer: C

The NVIDIA UFM Cyber-AI Platform is 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.


Question No. 5

[Spectrum-X Configuration]

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

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Correct Answer: A

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.


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