NVIDIA
NCP-AIN
NVIDIA-Certified
Professional AI
Networking
Version: Demo
[ Total Questions: 10]
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Certs Exam
NVIDIA - NCP-AIN
Category Breakdown
Category
Number of Questions
InfiniBand Troubleshooting
3
AI Network Architecture
3
InfiniBand Configuration
1
Spectrum-X Optimization
1
BlueField DPU – DOCA Management
1
Spectrum-X Configuration
1
TOTAL
10
Question #:1 - [InfiniBand Troubleshooting]
A user has requested confirmation that the InfiniBand network is performing optimally and is not limiting the
speed of a training run. To verify this, you would like to measure the RDMA throughput rate between two
endpoints.
Which tool should be used?
A. ibdiagnet
B. ib_write_bw
C. ping
D. iperf
Answer: B
Explanation
The ib_write_bw tool is part of the Perftest package and is specifically designed to measure the bandwidth of
RDMA write operations between two InfiniBand endpoints. It provides accurate assessments of RDMA
throughput, which is crucial for verifying the performance of InfiniBand networks in high-performance
computing and AI training environments.
Reference:ib_write_bw - NVIDIA Enterprise Support Portal
Question #:2 - [AI Network Architecture]
A financial services company is planning to implement an AI infrastructure to support real-time fraud
detection and risk assessment. They need a solution that can handle both training and inference workloads
while maintaining data privacy and security.
Which NVIDIA reference architecture component would be most appropriate to address the data privacy and
security concerns in this AI networking setup?
A. NVIDIA CUDA-X AI libraries
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B. NVIDIA Magnum IO
C. NVIDIA BlueField DPUs
D. NVIDIA Spectrum switches
Answer: C
Explanation
NVIDIA BlueField Data Processing Units (DPUs)are integral to securing AI infrastructures, especially in
environments requiring stringent data privacy and security measures. BlueField DPUs offload and accelerate
critical infrastructure tasks such as encryption, firewall enforcement, and intrusion detection, thereby isolating
sensitive data paths from potential threats.
In the context of AI workloads, BlueField DPUs enable secure and efficient data movement between GPUs
and storage systems, ensuring that sensitive information, like financial data, is protected during both training
and inference processes. Their integration into NVIDIA's reference architectures provides a hardware root of
trust, essential for maintaining data integrity and compliance with security standards.
Reference:NVIDIA BlueField Networking Platform
Question #:3 - [AI Network Architecture]
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 DGX Cloud
C. NVIDIA LaunchPad
D. NVIDIA DGX SuperPOD
Answer: D
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.
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Reference:DGX SuperPOD Architecture - NVIDIA Docs
Question #:4 - [InfiniBand Configuration]
What are the necessary steps to upgrade the MLNX-OS on InfiniBand Switches?
A. Connect to the switches using SSH, fetch the MLNX-OS software image, and use the 'install' command
to perform the upgrade.
B. Power off the switches, insert the installation media, and power on the switches to start the upgrade
process.
C. Restart the switches, connect to the switches using Telnet, and use the 'update' command to perform the
upgrade.
D. Remove the switches from the switch fabric, fetch the MLNX-OS software image, and use the 'upgrade'
command to perform the upgrade.
Answer: A
Explanation
To upgrade the MLNX-OS on InfiniBand switches, the recommended procedure is as follows:
Connect to the switch via SSH: Establish a secure shell connection to the switch using its management
IP address.
Fetch the MLNX-OS software image: Obtain the appropriate MLNX-OS software image from the
official source or repository.
Use the 'install' command to perform the upgrade: Execute the 'install' command on the switch to
initiate the upgrade process with the fetched software image.
This method ensures a smooth and efficient upgrade without the need for physical intervention or service
disruption.
Reference Extracts from NVIDIA Documentation:
"Click on Systems # MLNX-OS Upgrade. Select the desired upgrade method (e.g. 'Install from local
file'). Select your image and click 'Install Image'."
Question #:5 - [Spectrum-X Optimization]
How is congestion evaluated in an NVIDIA Spectrum-X system?
A. By assessing the physical distance between network devices.
B. By monitoring the CPU and power usage of network devices.
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C. By measuring the number of connected devices in the network.
D. By analyzing the egress queue loads ensuring all ports are well-balanced.
Answer: D
Explanation
In NVIDIA Spectrum-X, congestion is evaluated based on egress queue loads. Spectrum-4 switches assess the
load on each egress queue and select the port with the minimal load for packet transmission. This approach
ensures that all ports are well-balanced, optimizing network performance and minimizing congestion.
Question #:6 - [InfiniBand Troubleshooting]
You are troubleshooting InfiniBand connectivity issues in a cluster managed by the NVIDIA Network
Operator. You need to verify the status of the InfiniBand interfaces. Which command should you use to
check the state and link layer of InfiniBand interfaces on a node?
A. rdma show devices
B. ibstat -d mlx5_X
C. ifconfig ib0
D. ip link show dev ib0
Answer: B
Explanation
To check the status and link layer of InfiniBand interfaces, the ibstat command is used. For example:
ibstat -d mlx5_0
This command provides detailed information about the InfiniBand device, including its state (e.g., Active),
physical state (e.g., LinkUp), and link layer (e.g., InfiniBand).
Reference: NVIDIA DGX BasePOD Deployment Guide – Network Operator Section
Question #:7 - [BlueField DPU – DOCA Management]
When upgrading DOCA on a BlueField DPU, what command should first be run on the host?
A. sudo apt-get autoremove
B. /usr/sbin/ofed_uninstall.sh -force
C. sudo apt-get upgrade doca
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D. sudo apt-get install doca
Answer: B
Explanation
Before upgrading the DOCA SDK on aBlueField DPU, it ismandatory to uninstall the existing OFED
driversto prevent compatibility conflicts.
From theNVIDIA DOCA Installation Guide:
"Before upgrading DOCA or BlueField-related software, you must remove existing OFED packages
using: /usr/sbin/ofed_uninstall.sh -force."
This ensures:
Clean driver state
No residual kernel modules or userspace libraries
Proper registration of new DOCA/OFED versions
Incorrect Options:
AandCmay not resolve conflicts.
Dinstalls but doesn’t remove conflicting packages.
Reference: DOCA SDK Installation – Uninstall OFED Requirement
Question #:8 - [Spectrum-X Configuration]
You are deploying a Kubernetes cluster for AI workloads using NVIDIA Spectrum-X switches. You need to
automate the deployment and management of networking components in this environment.
Which NVIDIA tool is specifically designed to automate the deployment and management of networking
components in a Kubernetes cluster with Spectrum-X switches?
A. Mellanox OFED
B. Container Runtime
C. Network Operator
D. GPU Operator
Answer: C
Explanation
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TheNVIDIA Network Operatoris designed to simplify and automate the deployment and management of
networking components in Kubernetes clusters, particularly those utilizing NVIDIA Spectrum-X switches. It
manages the installation and configuration of necessary drivers, plugins, and other networking resources to
enable features like RDMA and GPUDirect RDMA, which are essential for high-performance AI workloads.
By leveraging Kubernetes Custom Resource Definitions (CRDs) and the Operator Framework, the Network
Operator ensures that networking components are consistently and correctly configured across the cluster,
reducing manual intervention and potential configuration errors.
Reference:NVIDIA Network Operator Documentation
Question #:9 - [AI Network Architecture]
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. Adaptive Routing
B. PXN
C. Graph Search Optimization
D. SHARP v2
Answer: B
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.
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Reference: NVIDIA NCCL User Guide – PXN Feature Section
Question #:10 - [InfiniBand Troubleshooting]
A fabric administrator added new servers to a 40-port edge switch. The administrator now needs to
gather and map the newly added ports’ LIDs and LINK SPEED. Which of the following commands can
be used for that purpose?
A. ib_check_routes
B. ibnetdiscover
C. ibhosts
D. ibswitches
Answer: B
Explanation
The correct utility isibnetdiscover.
From the official NVIDIA InfiniBand Utilities Guide:
"ibnetdiscover scans the fabric and returns a topology of all switches and end nodes, including their
GUIDs, LIDs, port numbers, and link speeds."
It generates a fabric map with node-to-port relationships and shows:
GUIDs
LIDs (Local IDs)
Link speeds and widths
Switch-to-host connections
This is essential for network topology validation and mapping physical port additions.
Incorrect Options:
ib_check_routes– for routing table diagnostics.
ibhosts– shows host information but not switch-level port mapping.
ibswitches– shows switch info, but lacks port-level LID/link speed mapping.
Reference: NVIDIA InfiniBand Tools – ibnetdiscover Utility
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