NCP-AIN NVIDIA-Certified Professional AI Networking PDF Dumps

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Exam : NCP-AIN
Title :
https://www.passcert.com/NCP-AIN.html
NVIDIA-Certified
Professional AI Networking
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1.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:
The NVIDIA DGX Super POD is 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 VIDIA Docs
2.What is the basic functionality of an IB Router?
A. Connecting Ethernet switches to an InfiniBand fabric
B. Connecting SAN to an InfiniBand fabric
C. Connecting NVLink domains to an InfiniBand fabric
D. Connecting two (or more) InfiniBand fabrics
Answer: D
Explanation:
AnInfiniBand (IB) Router connects two or more InfiniBand subnets, making it possible for nodes in
different subnets to communicate through route-managed communication.
From the official NVIDIA InfiniBand Routers Documentation:
"An InfiniBand router provides connectivity between two or more InfiniBand subnets, enabling
communication between hosts that are not on the same subnet while preserving isolation and scalability."
Ensures fabric scalability by allowing subnet segmentation.
Uses LID routing across subnet managers (SMs).
Essential in large clusters with thousands of nodes.
Incorrect Options:
AandBare incorrect: InfiniBand does not connect directly to Ethernet or SANs without a gateway.
Cis unrelated: NVLink is a GPU interconnect, not tied to InfiniBand routers.
Reference: NVIDIA InfiniBand Routers Guide
3.Which of the following scenarios would the Network Traffic Map in UFM be least useful for
troubleshooting?
A. When investigating reports of network congestion or latency problems.
B. After making changes to network configuration.
C. When troubleshooting a single node's hardware failure.
D. When optimizing job placement and workload distribution across the cluster.
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Answer: C
Explanation:
The Network Traffic Map in NVIDIA's Unified Fabric Manager (UFM) provides a visual representation of
the network topology and traffic flows, which is particularly useful for identifying congestion points,
verifying network configurations, and optimizing workload distribution.
However, when troubleshooting a single node's hardware failure, the Network Traffic Map is less effective,
as it focuses on network-level issues rather than individual hardware components.
4.You have recently implemented NVIDIA Spectrum-X in your data center to optimize AI workloads. You
need to verify the performance improvements and create a baseline for future comparisons.
Which tool would be most appropriate for creating performance baseline results in this Spectrum-X
environment?
A. NetQ
B. CloudAI Benchmark
C. MLNX-OS
D. Ansible
Answer: B
Explanation:
The CloudAI Benchmark is designed to evaluate and establish performance baselines in AI-optimized
networking environments like NVIDIA Spectrum-X. It assesses various performance metrics, including
throughput and latency, ensuring that the network meets the demands of AI workloads. This
benchmarking is essential for validating the benefits of Spectrum-X and for ongoing performance
monitoring.
Reference: NVIDIA Spectrum-X Validated Solution Stack
5.Which tool would you use to gather telemetry data in a SpectrumX network?
A. NVIEW
B. UFM
C. NetQ
D. BCM
Answer: C
Explanation:
The NVIDIA Spectrum-X networking platform is an Ethernet-based solution optimized for AI workloads,
combining Spectrum-4 switches, BlueField-3 SuperNICs, and advanced software to deliver high
performance and low latency. Gathering telemetry data is critical for optimizing Spectrum-X networks, as
it provides visibility into network performance, congestion, and potential issues. The question asks for the
tool used to collect telemetry data in a Spectrum-X network.
According to NVIDIA’s official documentation, NVIDIA NetQ is the primary tool for gathering telemetry
data in Ethernet-based networks, including those running on Spectrum-X platforms with Cumulus Linux or
SONiC. NetQ is a network operations toolset that provides real-time monitoring, telemetry collection, and
analytics for network health, enabling administrators to optimize performance, troubleshoot issues, and
validate configurations. It collects detailed telemetry data such as link status, packet drops, latency, and
congestion metrics, which are essential for Spectrum-X optimization.
Exact Extract from NVIDIA Documentation:
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“NVIDIA NetQ is a highly scalable network operations tool that provides telemetry-based monitoring and
analytics for Ethernet networks, including NVIDIA Spectrum-X platforms. NetQ collects real-time
telemetry data from switches and hosts, offering insights into network performance, congestion, and
connectivity. It supports Cumulus Linux and SONiC environments, making it ideal for optimizing
Spectrum-X networks by providing visibility into key metrics like latency, throughput, and packet loss.”
—NVIDIA NetQ User Guide
This extract confirms that option C, NetQ, is the correct tool for gathering telemetry data in a Spectrum-X
network. NetQ’s integration with Spectrum-X switches and its ability to collect and analyze telemetry data
make it the go-to solution for network optimization tasks.
6.In a multi-tenant InfiniBand environment managed by UFM, you need to configure access controls to
prevent unauthorized users from altering the fabric configuration.
Which method is used within UFM to manage user access and ensure authorized modifications only?
A. Digital Certification Management (DCM)
B. Network Access Control (NAC)
C. Virtual Network Segmentation (VNS)
D. Role-Based Access Control (RBAC)
Answer: D
Explanation:
Role-Based Access Control (RBAC)is implemented within NVIDIA's Unified Fabric Manager (UFM) to
manage user permissions effectively. RBAC allows administrators to assign roles to users, each with
specific permissions, ensuring that only authorized individuals can make changes to the fabric
configuration. This structured approach to access control enhances security by limiting the potential for
unauthorized modifications and streamlines the management of user privileges across the network.
Reference: Role-Based Access Control (RBAC) - One Identity
7.You are configuring an InfiniBand network for an AI cluster and need to install the appropriate software
stack.
Which NVIDIA software package provides the necessary drivers and tools for InfiniBand configuration in
Linux environments?
A. NVIDIA GPU Cloud
B. NVIDIA Container Runtime
C. CUDA Toolkit
D. MLNX_OFED
Answer: D
Explanation:
MLNX_OFED (Mellanox OpenFabrics Enterprise Distribution) is an NVIDIA-tested and packaged version
of the OpenFabrics Enterprise Distribution (OFED) for Linux. It provides the necessary drivers and tools
to support InfiniBand and Ethernet interconnects using the same RDMA (Remote Direct Memory Access)
and kernel bypass APIs. MLNX_OFED enables high-performance networking capabilities essential for AI
clusters, including support for up to 400Gb/s InfiniBand and RoCE (RDMA over Converged Ethernet).
Reference Extracts from NVIDIA Documentation:"MLNX_OFED is an NVIDIA tested and packaged version of OFED that supports two interconnect types
using the same RDMA (remote DMA) and kernel bypass APIs called OFED verbs – InfiniBand and
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Ethernet."
"Up to 400Gb/s InfiniBand and RoCE (based on the RDMA over Converged Ethernet standard) over 10
/25/40/50/100/200/400GbE are supported."
8.You are automating the deployment of a Spectrum-X network using Ansible. You need to ensure that the
playbooks can handle different switch models and configurations efficiently.
Which feature of the NVIDIA NVUE Collection helps simplify the automation by providing pre-built roles
for common network configurations?
A. Collection libraries
B. Collection modules
C. Collection roles
D. Collection plugins
Answer: C
Explanation:
The NVIDIA NVUE Collection for Ansible includes pre-built roles designed to streamline automation tasks
across various switch models and configurations. These roles encapsulate common network
configurations, allowing for efficient and consistent deployment.
By utilizing these roles, network administrators can:
Apply standardized configurations across different devices.
Reduce the complexity of playbooks by reusing modular components.
Ensure consistency and compliance with organizational policies.
This approach aligns with Ansible best practices, promoting maintainability and scalability in network
automation.
Reference: NVIDIA NVUE Collection Documentation – Ansible Roles
9.When creating a simulation in NVIDIAAIR, what syntax would you use to define a link between port 1 on
spine-01 and port 41 on gpu-leaf-01?
A. "spine-01":*swp01" - *gpu-leaf-01":"swp41"
B. "spine-01":"swp1" to "gpu-leaf-01":"swp41"
C. "spine-01 'eth1" to "gpu-leaf-01":"eth41"
D. "spine-01":"eth1" - "gpu-leaf-01":"eth41"
Answer: A
Explanation:
NVIDIAAIR (AI-Ready Infrastructure) is a cloud-based simulation platform designed to model and
validate data center network deployments, including Spectrum-X Ethernet networks, using realistic
topologies and configurations. When creating a custom topology in NVIDIAAIR, users can define network
links between devices (e.g., spine and leaf switches) using a DOT file format, which is based on the
Graphviz graph visualization software. The question asks for the correct syntax to define a link between
port 1 on a spine switch (spine-01) and port 41 on a leaf switch (gpu-leaf-01) in a NVIDIAAIR simulation.
According to NVIDIA’s official NVIDIA AIR documentation, the DOT file format is used to specify network
topologies, including nodes (devices) and links (connections between ports). The syntax for defining a link
in a DOT file uses a double dash (--) to indicate a connection between two ports, with each port specified
in the format "":"". For Spectrum-X networks, which typically use Cumulus Linux or SONiC
on NVIDIA Spectrum switches, ports are commonly labeled as swpX (switch port X) rather than ethX
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(Ethernet interface), especially for switch-to-switch connections in a leaf-spine topology.
The correct syntax for the link between port 1 on spine-01 and port 41 on gpu-leaf-01 is:
"spine-01":"swp01" -- "gpu-leaf-01":"swp41"
This syntax uses swp01 and swp41 to denote switch ports, consistent with Cumulus Linux conventions,
and the double dash (--) to indicate the link, as required by the DOT file format.
Exact Extract from NVIDIA Documentation:
“You can create custom topologies in Air using a DOT file, which is the file type used with the open-source
graph visualization software, Graphviz. DOT files define nodes, attributes, and connections for generating
a topology for a network.
The following is an example of a link definition in a DOT file:
"leaf01":"swp31" -- "spine01":"swp1"
This specifies a connection between port swp31 on leaf01 and port swp1 on spine01. Port names
typically follow the switch port naming convention (e.g., swpX) for Cumulus Linux-based switches.”
—NVIDIA Air Custom Topology Guide
This extract confirms that option A is the correct answer, as it uses the proper DOT file syntax with swp01
and swp41 for port names and the double dash (--) for the link, aligning with NVIDIAAIR’s topology
definition process for Spectrum-X simulations.
Analysis of Other Options:
B. "spine-01":"swp1" to "gpu-leaf-01":"swp41": This option uses the correct port naming convention (swp1
and swp41) but incorrectly uses the word to as the connector instead of the double dash (--). The DOT file
format requires -o define links, making this syntax invalid for NVIDIAAIR.
C. "spine-01":"eth1" to "gpu-leaf-01":"eth41": This option uses ethX port names, which are typically used
for host interfaces (e.g., servers) rather than switch ports in Cumulus Linux or SONiC environments.
Switch ports in Spectrum-X topologies are labeled swpX. Additionally, the use of to instead of -s incorrect
for DOT file syntax, making this option invalid.
D. "spine-01":"eth1" - "gpu-leaf-01":"eth41": This option uses a single dash (-) instead of the required
double dash (--) and incorrectly uses ethX port names instead of swpX. The ethX naming is not standard
for switch ports in Spectrum-X, and the single dash is not valid DOT file syntax, making this option
incorrect.
Why "spine-01":"swp01" -- "gpu-leaf-01":"swp41" is the Correct Answer
Option A correctly adheres to the DOT file syntax used in NVIDIAAIR for defining network links:
Node and Port Naming: The nodes spine-01 and gpu-leaf-01 are specified with their respective ports
swp01 and swp41, following the swpX convention for switch ports in Cumulus Linux-based Spectrum-X
switches.
Link Syntax: The double dash (--) is the standard connector in DOT files to indicate a link between two
ports, as required by Graphviz and NVIDIAAIR.
Spectrum-X Context: In a Spectrum-X leaf-spine topology, connections between spine and leaf switches
(e.g., Spectrum-4 switches) use switch ports labeled swpX, making swp01 and swp41 appropriate for this
simulation.
This syntax ensures that the NVIDIA AIR simulation accurately models the physical connection between
spine-01 port 1 and gpu-leaf-01 port 41, enabling validation of the Spectrum-X network topology. The
DOT file can be uploaded to NVIDIAAIR to generate the topology, as described in the documentation.