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NVIDIA NCP-AIN Exam Syllabus Topics:

Topic
Details

Topic 1

Spectrum-X Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures 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

Architecture: This section of the exam measures 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.

Topic 3

InfiniBand Configuration, Optimization, Security, and Troubleshooting: This section of the exam measures 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 (Q46-Q51):

NEW QUESTION # 46
When designing a multi-tenancy East/West (E/W) fabric using Unified Fabric Manager (UFM), which method should be used?

A. Partition / PKey
B. VXLAN
C. ROMA
D. VLAN

Answer: A

Explanation:
In InfiniBand networks,Partitioning using Partition Keys (PKeys)is the standard method for implementing multi-tenancy and traffic isolation. PKeys allow administrators to define logical partitions within the fabric, ensuring that traffic is confined to designated groups of nodes. This mechanism is essential for creating secure and isolated environments in multi-tenant architectures.
The Unified Fabric Manager (UFM) leverages PKeys to manage these partitions effectively, enabling administrators to assign and control access rights across different tenants. This approach ensures that each tenant's traffic remains isolated, maintaining both security and performance integrity within the shared fabric.
Reference:NVIDIA UFM Enterprise User Manual v6.15.6-4

NEW QUESTION # 47
You need to configure a bond in Cumulus Linux. Which command should you use?

A. nv set interface bond1 bond mlag enable
B. nv set interface bond1 bond mode lacp
C. nv set interface bond1 bond member swp1-4
D. nv set bondbond1 interface member swp1-4

Answer: B

Explanation:
In Cumulus Linux, configuring a bond interface with Link Aggregation Control Protocol (LACP) involves setting the bond mode to 'lacp'. The correct command to achieve this is:
nv set interface bond1 bond mode lacp
This command sets the bonding mode of 'bond1' to LACP, enabling dynamic link aggregation for increased bandwidth and redundancy.
Reference Extracts from NVIDIA Documentation:
* "To reset the link aggregation mode for bond1 to the default value of 802.3ad, run the nv set interface bond1 bond mode lacp command."

NEW QUESTION # 48
You are setting up PKey memberships for different tenants in an InfiniBand network. You want to ensure that some tenants have limited communication capabilities. Which PKey membership type allows members to communicate with full members but not with other members of the same type?

A. Limited/partial membership
B. Full membership
C. Restricted membership
D. Isolated membership

Answer: A

Explanation:
In InfiniBand networks,P_Keys (Partition Keys)control communication boundaries. Each port can belong to one or more partitions with eitherfullorlimitedmembership.
From NVIDIA InfiniBand Documentation (Partitioning and P_Keys):
"A limited (or partial) membership permits a port to communicate only with other ports in the same partition that have full membership. It cannot communicate with other limited members, even if they are in the same P_Key partition." This makes limited/partial membership ideal formulti-tenant security, where tenant ports can reach infrastructure ports (full members) butnotother tenant ports (limited members).
Incorrect Options:
* A & Bare not valid InfiniBand P_Key types.
* C (Full membership)allows unrestricted communication within the same partition.
Reference: NVIDIA InfiniBand Guide - PKey Partitioning and Membership Types

NEW QUESTION # 49
You are designing a new AI data center for a research institution that requires high-performance computing for large-scale deep learning models. The institution wants to leverage NVIDIA's reference architectures for optimal performance.
Which NVIDIA reference architecture would be most suitable for this high-performance AI research environment?

A. NVIDIA Base Command Platform
B. NVIDIA LaunchPad
C. NVIDIA DGX SuperPOD
D. NVIDIA DGX Cloud

Answer: C

Explanation:
TheNVIDIA DGX SuperPODis a turnkey AI supercomputing infrastructure designed for large-scale deep learning and high-performance computing workloads. It integrates multiple DGX systems with high-speed networking and storage solutions, providing a scalable and efficient platform for AI research institutions. The architecture supports rapid deployment and is optimized for training complex models, making it the ideal choice for environments demanding top-tier AI performance.
Reference:DGX SuperPOD Architecture - NVIDIA Docs

NEW QUESTION # 50
You are concerned about potential security threats and unexpected downtime in your InfiniBand data center.
Which UFM platform uses analytics to detect security threats, operational issues, and predict network failures in InfiniBand data centers?

A. Host Agent
B. Cyber-AI Platform
C. Enterprise Platform
D. Telemetry Platform

Answer: B

Explanation:
TheNVIDIA UFM Cyber-AI Platformis specifically designed to enhance security and operational efficiency in InfiniBand data centers. It leverages AI-powered analytics to detect security threats, operational anomalies, and predict potential network failures. By analyzing real-time telemetry data, it identifies abnormal behaviors and performance degradation, enabling proactive maintenance and threat mitigation.
This platform integrates with existing UFM Enterprise and Telemetry services to provide a comprehensive view of the network's health and security posture. It utilizes machine learning algorithms to establish baselines for normal operations and detect deviations that may indicate security breaches or hardware issues.
Reference:NVIDIA UFM Cyber-AI Documentation v2.9.1

NEW QUESTION # 51
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