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NVIDIA NCP-AIN Exam Overview:
| Certification Vendor: | NVIDIA |
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| Exam Name: | NVIDIA-Certified Professional: AI Networking (NCP-AIN) |
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| Exam Number: | NCP-AIN |
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| Available Languages: | English |
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| Certificate Validity Period: | 2 years |
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| Exam Format: | Multiple Choice |
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| Real Exam Qty: | 70-75 |
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| Exam Duration: | 120 minutes |
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| Related Certifications: | NVIDIA-Certified Professional AI Infrastructure NVIDIA-Certified Associate AI Infrastructure and Operations NVIDIA-Certified Professional AI Operations |
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| Passing Score: | 70% |
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| Exam Price: | $400 USD |
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| Recommended Training: | NVIDIA Learning & Certification Hub |
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| Exam Registration: | NVIDIA Certification Portal |
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| Sample Questions: | NVIDIA NCP-AIN Sample Questions |
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| Exam Way: | Online, remote-proctored exam |
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| Pre Condition: | Recommended 2โ3 years of hands-on experience in data center or networking environments using NVIDIA AI infrastructure and networking technologies. |
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| Official Syllabus URL: | https://www.nvidia.com/en-us/learn/certification/ |
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| Topic | Details |
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| Topic 1 | - Spectrum-X Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures the skills of Network Performance Engineers and covers configuring, managing, and securing NVIDIA Spectrum-X switches. It includes setting performance baselines, resolving performance issues, and using diagnostic tools such as CloudAI benchmark, NCCL, and NetQ. It also emphasizes leveraging DPUs for network acceleration and using monitoring tools like Grafana and SNMP for telemetry analysis.
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| Topic 2 | - AI Network Architecture: This section of the exam measures the skills of AI Infrastructure Architects and covers the ability to distinguish between AI factory and AI data center architectures. It includes understanding how Ethernet and InfiniBand differ in performance and application, and identifying the right storage options based on speed, scalability, and cost to fit AI networking needs.
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| Topic 3 | - InfiniBand Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures the skills of Data Center Network Administrators and covers the configuration and operational maintenance of NVIDIA InfiniBand switches. It includes setting up InfiniBand fabrics for multi-tenant environments, managing subnet configurations, testing connectivity, and using UFM to troubleshoot and analyze issues. It also focuses on validating rail-optimized topologies for optimal network performance.
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NVIDIA-Certified Professional AI Networking Sample Questions (Q60-Q65):
NEW QUESTION # 60
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 ensure data security and isolation from other network traffic.
- B. To enable parallel data access and improve storage performance for distributed AI workloads.
- C. To provide high-bandwidth, low-latency data access that prevents I/O bottlenecks during AI model training.
- D. To reduce the overall cost of the storage infrastructure.
Answer: B,C
Explanation:
Modern AI training (especially with LLMs) requires extremely high-speed, parallel access to large datasets. A dedicated storage fabric separates data I/O traffic from the training compute path and avoids contention.
NEW QUESTION # 61
Which technology does NVIDIA use to provide high-speed communication between GPUs in AI workloads?
- A. CUDA-X AI
- B. Ethernet
- C. NVLink
- D. HyperTransport
Answer: C
Explanation:
NVLink is a high-bandwidth, energy-efficient interconnect technology used by NVIDIA to allow high-speed communication between GPUs, which is essential for scaling AI workloads across multiple GPUs.
NEW QUESTION # 62
What is the primary purpose of NVIDIA's AI networking solutions?
- A. To improve internet connectivity speed
- B. To accelerate networking and data processing for AI/ML workloads
- C. To provide graphics rendering for video games
- D. To provide cloud storage solutions
Answer: B
Explanation:
NVIDIA's AI networking solutions are designed to accelerate the transmission of data across networks, especially for AI/ML workloads, enabling faster processing and reducing bottlenecks in AI training and inference.
NEW QUESTION # 63
You are planning to deploy a large-scale Spectrum-X network for AI workloads. Before physical implementation, you want to validate the network design and configuration using a digital twin approach. Which NVIDIA tool would be most appropriate for creating and simulating a digital twin of your Spectrum-X network?
- A. NVIDIA Omniverse
- B. NVIDIA NetQ
- C. NVIDIA Base Command Manager
- D. NVIDIA Air
Answer: D
Explanation:
NVIDIA Air is a cloud-based network simulation tool designed to create digital twins of data center infrastructure, including Spectrum-X networks. It allows users to model switches, SuperNICs, and storage components, enabling the simulation, validation, and automation of network configurations before physical deployment. This facilitates Day 0, 1, and 2 operations, ensuring that network designs are tested and optimized for AI workloads.
NEW QUESTION # 64
You are tasked with configuring multi-tenancy using partition key (PKey) for a high-performance storage fabric running on InfiniBand. Each tenant's GPU server is allowed to access the shared storage system but cannot communicate with another tenant's GPU server. Which of the following partition key membership configurations would you implement to set up multi- tenancy in this environment?
- A. Assign full membership PKey to the shared storage system and limited membership PKey to each tenant's GPU servers.
- B. Assign limited membership PKey to the shared storage system and full membership PKey to each tenant's GPU servers.
- C. Assign limited membership to both GPU servers and storage system.
- D. Assign full membership to both GPU servers and storage system.
Answer: A
Explanation:
To enforce strictmulti-tenancy, where:
Tenant A's GPU cannot talk to Tenant B's GPU
But both can access shared storage
The correct solution is:
Storage system # Full PKey membership
Each tenant's GPU # Limited PKey membership
NEW QUESTION # 65
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