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NVIDIA-Certified Professional AI Networking Sample Questions (Q21-Q26):

NEW QUESTION # 21
Your organization is planning to utilize Ethernet for an upcoming AI project. Spectrum-X is the selected platform for this deployment, and Adaptive Routing is a key feature.
What are the requirements included in the Spectrum-X RA for adaptive routing?

A. SN4700, BlueField-3 SuperNIC, DDR, RoCE traffic
B. SN5600, BlueField-3 SuperNIC, DDR, RoCE traffic
C. SN5600, BlueField-3 SuperNIC, DDR, TCP traffic

Answer: B

Explanation:
The NVIDIA Spectrum-X Reference Architecture (RA) 1.0.1 is designed for Ethernet AI cloud deployments and includes the SN5600 Spectrum-4 switches and BlueField-3 SuperNICs. This architecture supports adaptive routing and DOCA programmable congestion control (PCC) for lossless RoCE traffic, optimizing performance for AI workloads.
The SN5600 switch offers 64 ports of 800GbE in a dense 2U form factor, providing high throughput and low latency essential for AI applications.

NEW QUESTION # 22
When utilizing the ib_write_bw tool for performance testing, what does the -S flag define?

A. The number of QP's
B. Which service level to use
C. The maximum rate of sent packages
D. The burst size

Answer: B

Explanation:
FromNVIDIA Performance Tuning Guide (ib_write_bw Tool Usage):
"-S <SL>: Specifies the Service Level (SL) to use for the InfiniBand traffic. SL is used for setting priority and mapping to virtual lanes (VLs) on the IB fabric." This flag is useful when testing QoS-aware setups or validating SL/VL mappings.
Incorrect Options:
* A- No such flag for burst size.
* B- -q defines number of QPs.
* C- --rate or -R is used for rate-limiting.
Reference: NVIDIA InfiniBand Performance Guide - ib_write_bw Options Section

NEW QUESTION # 23
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. Enterprise Platform
B. Telemetry Platform
C. Cyber-AI Platform
D. Host Agent

Answer: C

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 # 24
You're designing a multi-GPU system for AI training using NVIDIA GPUs with NVLink connections.
You need to maximize inter-GPU communication bandwidth. Which feature included in NCCL allows for improved communication between GPUs and NICs?

A. SHARP v2
B. Graph Search Optimization
C. PXN
D. Adaptive Routing

Answer: C

Explanation:
The correct answer isPXN (Peer eXchange Network).
From theNVIDIA NCCL Documentation:
"PXN enables communication between GPUs connected via NVLink and NICs by treating the GPUs as a distributed switch. This architecture improves bandwidth utilization by enabling any GPU to communicate with the NIC via the shortest path available, even if it's not directly connected to the NIC." This enhances GPU-to-NIC and NIC-to-GPU transfers, leveraging the NVLink topology. It significantly boosts performance in multi-GPU setups where not every GPU is directly connected to the NIC.
Other options:
* Adaptive Routingis a fabric-level feature for dynamic path rerouting.
* Graph Search Optimizationis used internally for topology modeling in NCCL.
* SHARP v2is a switch-based collective acceleration method, unrelated to PXN.
Reference: NVIDIA NCCL User Guide - PXN Feature Section

NEW QUESTION # 25
You are using NVIDIA Air to simulate a Spectrum-X network for AI workloads. You want to ensure that your network configurations are optimal before deployment.
Which NVIDIA tool can be integrated with Air to validate network configurations in the digital twin environment?

A. DOCA
B. Spectrum-X Manager
C. NetQ
D. GPU Cloud

Answer: C

Explanation:
NVIDIA NetQ is a highly scalable network operations toolset that provides visibility, troubleshooting, and validation of networks in real-time. It delivers actionable insights and operational intelligence about the health of data center networks-from the container or host all the way to the switch and port-enabling a NetDevOps approach.
NetQ can be used as the functional test platform for the network CI/CD in conjunction with NVIDIA Air.
Customers benefit from testing the new configuration with NetQ in the NVIDIA Air environment ("digital twin") and fix errors before deploying to their production.

NEW QUESTION # 26
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