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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional AI Networking (NCP-AIN) Exam |
| Exam Number: | NCP-AIN |
| Exam Format: | Single/multiple select items, Multiple choice questions |
| Passing Score: | Pass/Fail only, no exact score published |
| Exam Price: | $400 USD |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 70-75 |
| Related Certifications: | NVIDIA-Certified Professional AI Infrastructure (NCP-AII) NVIDIA-Certified Professional AI Operations (NCP-AIO) |
| Available Languages: | Chinese, English |
| Recommended Training: | NVIDIA InfiniBand Essentials NVIDIA Spectrum Networking Training |
| 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/ |
>> NCP-AIN Simulationsfragen <<
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16. Frage
Which of the following scenarios would the Network Traffic Map in UFM be least useful for troubleshooting?
Antwort: C
Begründung:
The Network Traffic Map in NVIDIA's Unified Fabric Manager (UFM) provides a visual representation of the network topology and traffic flows, which is particularly useful for identifying congestion points, verifying network configurations, and optimizing workload distribution.
However, when troubleshooting a single node's hardware failure, the Network Traffic Map is less effective, as it focuses on network-level issues rather than individual hardware components.
17. Frage
You are configuring an InfiniBand network for an AI cluster and need to install the appropriate software stack. Which NVIDIA software package provides the necessary drivers and tools for InfiniBand configuration in Linux environments?
Antwort: B
Begründung:
MLNX_OFED (Mellanox OpenFabrics Enterprise Distribution) is an NVIDIA-tested and packaged version of the OpenFabrics Enterprise Distribution (OFED) for Linux. It provides the necessary drivers and tools to support InfiniBand and Ethernet interconnects using the same RDMA (Remote Direct Memory Access) and kernel bypass APIs. MLNX_OFED enables high- performance networking capabilities essential for AI clusters, including support for up to 400Gb/s InfiniBand and RoCE (RDMA over Converged Ethernet).
18. Frage
You're troubleshooting a Spectrum-X network and notice that the System Status LED on a switch is blinking for more than 5 minutes. What is the most likely cause of this issue?
Antwort: A
Begründung:
According to the NVIDIA Spectrum-X Switch Operating System (SX_OS) Troubleshooting Guide, the System Status LED behavioris a critical indicator of the switch's internal operational state.
19. Frage
You are implementing a multi-tenant environment on your Spectrum-X switches for different departments in your organization. You need to ensure that eachdepartment's network traffic is isolated and secure.
Which Spectrum-X security feature would be most effective in creating isolated network environments for each department?
Antwort: D
Begründung:
Virtual Routing and Forwarding (VRF)is the most effective method to achievenetwork segmentation and isolationin a multi-tenant environment.
From theNVIDIA Cumulus Linux Documentation - VRF Section:
"VRF allows multiple instances of routing tables to coexist within the same switch, effectively isolating traffic between tenants or departments." Each department can:
* Operate in its own VRF domain
* Have independent routing tables
* Maintain strict separation of Layer 3 paths
Incorrect Options:
* A (Port Mirroring)- Used for traffic monitoring, not isolation.
* C (ACLs)- Useful for fine-grained filtering, but not scalable tenant isolation.
* D (LLDP)- Used for neighbor discovery, not security or isolation.
Reference: Cumulus Linux - VRF Support on Spectrum Switches
20. Frage
Which of the following is the main benefit of GPU-accelerated networking in AI workloads?
Antwort: B
Begründung:
GPU-accelerated networking enhances the speed at which data is transmitted, ensuring lower latency and faster throughput, which is crucial for real-time AI applications and deep learning.
21. Frage
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