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NVIDIA NCP-AIN Exam Overview:

Certification Vendor:NVIDIA
Exam Name:NVIDIA-Certified Professional AI Networking
Exam Number:NCP-AIN
Exam Price:USD 235
Related Certifications:NVIDIA Certified Professional AI Networking
Available Languages:English
Real Exam Qty:60
Exam Duration:90 minutes
Exam Format:Multiple-select, Multiple-choice
Passing Score:Not publicly specified by NVIDIA
Certificate Validity Period:2 years
Sample Questions:NVIDIA NCP-AIN Sample Questions
Exam Way:Available both online (proctored) and at Pearson VUE test centers
Pre Condition:Candidates should have experience with networking fundamentals and AI/ML infrastructure. Recommended to have completed NVIDIA AI Networking training courses.
Official Syllabus URL:https://www.nvidia.com/en-us/training/certification/ncp-ain/

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NVIDIA NCP-AIN Exam Syllabus Topics:

TopicDetails
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.
Topic 2
  • 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.
Topic 3
  • 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.

NVIDIA-Certified Professional AI Networking Sample Questions (Q51-Q56):

NEW QUESTION # 51
How does Spectrum-X achieve network isolation for multiple tenants?

Answer: D

Explanation:
Spectrum-X achieves network isolation in multi-tenant environments by implementing Layer 3 Virtual Network Identifiers (L3VNIs) per Virtual Routing and Forwarding (VRF) instance. This approach allows each tenant to have a separate routing table and network segment, ensuring that traffic is isolated and secure between tenants.
Reference Extracts from NVIDIA Documentation:
* "Spectrum-X enhances multi-tenancy with performance isolation to ensure tenants' AI workloads perform optimally and consistently."


NEW QUESTION # 52
What command sequence is used to identify the exact name of the server that runs as the master SM in a multi-node fabric?

Answer: B

Explanation:
To identify the activeSubnet Manager (SM)node in an InfiniBand fabric, the correct command sequence is:
* sminfo
* Displays general information about the active SM in the fabric, including itsLID.
* smpquery ND <LID>
* Resolves theNode Description (ND)at the given LID, revealing the exact hostname or label of the SM server.
From the InfiniBand Tools Guide:
"The sminfo utility provides the LID of the master SM. Use smpquery ND <LID> to resolve the node name hosting the SM." This two-step approach is standard for locating and validating the SM identity in fabric diagnostics.
Incorrect Options:
* B (Nl)is an invalid query type.
* CandDdo not identify SMs.
Reference: InfiniBand SM Tools - sminfo & smpquery Usage


NEW QUESTION # 53
NVIDIA's AI networking solutions are most commonly used in which of the following environments?

Answer: A

Explanation:
NVIDIA's AI networking solutions are designed for data centers that support heavy AI/ML workloads, providing high-performance computing and networking infrastructure needed to train and deploy deep learning models.


NEW QUESTION # 54
What are the prerequisites for performing Flow Analysis with NetQ?

Answer: A

Explanation:
To perform Flow Analysis with NetQ, the following prerequisites must be met:
* Cumulus Linux Version: NetQ Flow Analysis requires Cumulus Linux 5.x or later.
* Switch Hardware: The feature is supported on Spectrum-2 and later switch models.
* Lifecycle Management (LCM): LCM must be enabled to utilize Flow Analysis capabilities.
These requirements ensure compatibility and proper functioning of the Flow Analysis feature within NetQ.
Reference: NVIDIA NetQ Documentation - Flow Analysis Prerequisites


NEW QUESTION # 55
What is the total throughput of the SN5600 Spectrum-X switch?

Answer: A

Explanation:
The SN5600 smart-leaf/spine/super-spine switch offers 64 ports of 800GbE in a dense 2U form factor. The SN5600 offers diverse connectivity in combinations of 1 to 800GbE and boasts an industry-leading total throughput of 51.2Tb/s.


NEW QUESTION # 56
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