NVIDIA NCP-AIN Exam Syllabus Topics:
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Reference: https://www.nvidia.com/en-us/learn/certification/ai-networking-professional/
NVIDIA NCP-AIN Exam Overview:
| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional AI Networking (NCP-AIN) Exam |
| Exam Number: | NCP-AIN |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Passing Score: | Pass/Fail only, no exact score published |
| Exam Price: | $400 USD |
| Exam Format: | Multiple choice questions, Single/multiple select items |
| Available Languages: | English, Chinese |
| Related Certifications: | NVIDIA-Certified Professional AI Operations (NCP-AIO) NVIDIA-Certified Professional AI Infrastructure (NCP-AII) |
| Real Exam Qty: | 70-75 |
| 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/ |
NVIDIA-Certified Professional AI Networking Sample Questions:
You are optimizing an AI workload that involves multiple GPUs across different nodes in a data center. The application requires both high-bandwidth GPU-to-GPU communication within nodes and efficient communication between nodes. Which combination of NVIDIA technologies would best support this multi-node, multi-GPU AI workload?
- A. PCIe for intra-node GPU communication and RoCE for inter-node communication.
- B. InfiniBand for both intra-node and inter-node GPU communication.
- C. NVLink for intra-node GPU communication and InfiniBand for inter-node communication.
- D. NVLink for both intra-node and inter-node GPU communication.
Correct Answer: C 🗳️
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Which of the following is the main benefit of GPU-accelerated networking in AI workloads?
- A. Increased storage capacity
- B. Reduced data center cooling requirements
- C. Lower power consumption
- D. Faster data movement and reduced latency
Correct Answer: D 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
A leading AI research center is upgrading its infrastructure to support large language model projects. The team is debating whether to implement a dedicated storage fabric for their AI workloads. Which of the following best explains why a dedicated storage fabric is crucial for this AI network architecture? Pick the 2 correct responses below
- A. To enable parallel data access and improve storage performance for distributed AI workloads.
- B. To provide high-bandwidth, low-latency data access that prevents I/O bottlenecks during AI model training.
- C. To ensure data security and isolation from other network traffic.
- D. To reduce the overall cost of the storage infrastructure.
Correct Answer: A,B 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
Which of the following NVIDIA products is best suited for high-performance computing and AI workloads that require fast inter-node communication?
- A. Mellanox InfiniBand
- B. Tesla P100
- C. GeForce RTX 3080
- D. Quadro GV100
Correct Answer: A 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
You are tasked with troubleshooting a link flapping issue in an InfiniBand AI fabric. You would like to start troubleshooting from the physical layer. What is the right NVIDIA tool to be used for this task?
- A. tcpdump tool
- B. nvidia-smi utility
- C. mlxlink utility
Correct Answer: C 🗳️
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