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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional AI Networking (NCP-AIN) Exam |
| Exam Number: | NCP-AIN |
| Exam Price: | $400 USD |
| Certificate Validity Period: | 2 years |
| Related Certifications: | NVIDIA-Certified Professional AI Operations (NCP-AIO) NVIDIA-Certified Professional AI Infrastructure (NCP-AII) |
| Exam Format: | Multiple choice questions, Single/multiple select items |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 70-75 |
| Available Languages: | English, Chinese |
| Passing Score: | Pass/Fail only, no exact score published |
| Recommended Training: | NVIDIA Spectrum Networking Training NVIDIA InfiniBand Essentials |
| Exam Registration: | NVIDIA Certification Portal |
| Sample Questions: | NVIDIA NCP-AIN Sample Questions |
| Exam Way: | Online remote proctored exam |
| Pre Condition: | 2–3 years of data center operation experience with NVIDIA hardware; ability to deploy and manage AI networking infrastructure supporting AI workloads |
| Official Syllabus URL: | https://www.nvidia.com/en-us/learn/certification/ai-networking-professional/ |
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| 주제 | 소개 |
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| 주제 2 |
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| 주제 3 |
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질문 # 85
What is the role of NVIDIA's AI-driven network monitoring in data centers?
정답：A
설명：
AI-driven network monitoring helps adjust and optimize the network's parameters dynamically to meet the changing demands of AI workloads, ensuring better performance and reduced bottlenecks.
질문 # 86
You are managing a large InfiniBand fabric for an AI research cluster. You need to implement a solution that can proactively detect potential network issues and optimize performance.
Which feature of NVIDIA's Unified Fabric Manager (UFM) is specifically designed to use AI-powered analytics for detecting security threats and predicting network failures in InfiniBand data centers?
정답：B
설명：
Comprehensive and Detailed 150 to 250 words of Explanation From NVIDIA AI Networking Topics:
The correct answer is A. Cyber-AI platform . NVIDIA's official UFM Cyber-AI documentation states that the UFM Cyber-AI platform determines a data center's unique "vital signs" and uses them to identify performance degradation, component failures, and abnormal usage patterns . This directly matches the requirement for proactive detection of issues in a large InfiniBand fabric. NVIDIA also documents that Cyber- AI provides Link Anomaly detection and Link Failure Prediction , where machine learning models analyze monitoring information and predict future link failures 1 to 24 hours in advance . In addition, NVIDIA's Cyber-AI materials describe integration with AI cybersecurity capabilities to help detect and mitigate security threats , which makes Cyber-AI the only option in this list that combines predictive analytics with security- oriented intelligence. By contrast, UFM Telemetry focuses on collecting and presenting real-time network data such as bandwidth, congestion, latency, and errors, while UFM Enterprise is the broader management platform and Host Agent is not the AI analytics engine for predictive failure and threat detection. Therefore, for AI-driven analytics, predictive maintenance, anomaly detection, and security-focused analysis in InfiniBand environments, Cyber-AI platform is the verified NVIDIA answer.
질문 # 87
Which tool would you use to gather telemetry data in a SpectrumX network?
정답：B
설명：
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.
질문 # 88
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?
정답：A
설명：
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.
질문 # 89
A high-performance InfiniBand fabric requires a routing engine that maximizes throughput and network utilization while reducing congestion. Which option below is the best routing engine for InfiniBand?
정답：D
설명：
Adaptive Routingin InfiniBand networks dynamically selects the optimal path for data packets based on current network conditions, such as congestion levels and link utilization. This approach ensures that traffic is evenly distributed across the network, preventing bottlenecks and maximizing overall throughput.
By continuously monitoring the network and adjusting routes in real-time, Adaptive Routing enhances performance and reliability, making it the preferred choice for high-performance computing environments where consistent low latency and high bandwidth are critical.
Reference:NVIDIA InfiniBand Adaptive Routing Technology Whitepaper
질문 # 90
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