[Q41-Q57] Real NVIDIA NCP-AIN Exam Questions [Updated 2026]

August 15, 2026 NCP-AIN, NVIDIA 0 Comments

[Q41-Q57] Real NVIDIA NCP-AIN Exam Questions [Updated 2026]

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Real NVIDIA NCP-AIN Exam Questions [Updated 2026]

NCP-AIN Exam Dumps Pass with Updated 2026 NVIDIA-Certified Professional AI Networking

NEW QUESTION 41
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?

SN4700, BlueField-3 SuperNIC, DDR, RoCE traffic

SN5600, BlueField-3 SuperNIC, DDR, RoCE traffic

SN5600, BlueField-3 SuperNIC, DDR, TCP traffic

NEW QUESTION 42
What does RDMA (Remote Direct Memory Access) technology in NVIDIA’s network products help achieve?

Increases storage capacity

Reduces CPU load and improves data transfer speed

Encrypts data in transit

Improves graphical performance

NEW QUESTION 43
What are two methods for accessing the operating system on a BlueField DPU?
Pick the 2 correct responses below

Via the networking interfaces (data ports) in NIC mode

Via the rshim interface over the PCIe bus

Via the Redfish API

Via rshim over a USB connection on the host

NEW QUESTION 44
In order to configure RoCE on a Cumulus switch, which command should be used?

nv set qos roce enable on

nv set roce qos enable on

nv roce qos enable on

nv qos roce enable on

NEW QUESTION 45
You are tasked with configuring multi-tenancy using partition key (PKey) for a high-performance storage fabric running on InfiniBand. Each tenant’s GPU server is allowed to access the shared storage system but cannot communicate with another tenant’s GPU server.
Which of the following partition key membership configurations would you implement to set up multi- tenancy in this environment?

Assign full membership to both GPU servers and storage system.

Assign limited membership to both GPU servers and storage system.

Assign limited membership PKey to the shared storage system and full membership PKey to each tenant’s GPU servers.

Assign full membership PKey to the shared storage system and limited membership PKey to each tenant’s GPU servers.

NEW QUESTION 46
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?

NVIDIA CUDA-X AI libraries

NVIDIA Magnum IO

NVIDIA BlueField DPUs

NVIDIA Spectrum switches

NEW QUESTION 47
Which of the following is the main benefit of GPU-accelerated networking in AI workloads?

Reduced data center cooling requirements

Faster data movement and reduced latency

Lower power consumption

Increased storage capacity

NEW QUESTION 48
A major cloud provider is designing a new data center to support large-scale AI workloads, particularly for training large language models. They want to optimize their network architecture for maximum performance and efficiency. Why is a rail-optimized topology considered a best practice for AI network architecture in this scenario?

It prioritizes north-south traffic over east-west traffic for better internet connectivity.

It simplifies network management by using a single large switch for all connections.

It provides optimal GPU-to-GPU communication and reduces network interference between flows.

It maximizes the number of network hops to increase data redundancy.

NEW QUESTION 49
What does NVIDIA’s GPU-accelerated networking primarily enable in AI/ML environments?

Faster model creation

Enhanced data security for AI applications

Efficient data movement and communication between GPUs for faster AI model training and inference

Reduced computational power for AI models

NEW QUESTION 50
You are implementing a multi-tenant environment on your Spectrum-X switches for different departments in your organization. You need to ensure that eachdepartment’s network traffic is isolated and secure.
Which Spectrum-X security feature would be most effective in creating isolated network environments for each department?

Set UP Port Mirroring

Configure Virtual Routing and Forwarding (VRF)

Implement Access Control Lists (ACLs)

Enable Link Layer Discovery Protocol (LLDP)

NEW QUESTION 51
You are optimizing an InfiniBand network for AI workloads that require low-latency and high-throughput data transfers. Which feature of InfiniBand networks minimizes CPU overhead during data transfers?

TCP/IP Offloading

SHARP

Direct Memory Access (DMA)

PKey

NEW QUESTION 52
What is the role of the NVIDIA CUDA-X AI platform in AI networking?

To improve graphical rendering speed

To provide AI-optimized libraries and tools for networking and compute tasks

To encrypt AI data

To monitor network traffic

NEW QUESTION 53
What does NetQ leverage (in addition to NVIDIA “What Just Happened” switch telemetry data and NVIDIA DOCA telemetry) to help network operators proactively identify server and application root cause issues?

Flow telemetry

Behavioral telemetry

Application telemetry

Packet capture telemetry

NEW QUESTION 54
Why is the InfiniBand LRH called a local header?

It is used for routing traffic between nodes in the local subnet.

It provides the LIDs from the local subnet manager.

It allows traffic on a local link only.

It provides the parameters for each local HCA.

TheLocal Route Header (LRH)in InfiniBand is termed “local” because it is used exclusively for routing packets within a single subnet. The LRH contains the destination and source Local Identifiers (LIDs), which are unique within a subnet, facilitating efficient routing without the need for global addressing. This design optimizes performance and simplifies routing within localized network segments.
InfiniBand is a high-performance, low-latency interconnect technology widely used in AI and HPC data centers, supported by NVIDIA’s Quantum InfiniBand switches and adapters. The Local Routing Header (LRH) is a critical component of the InfiniBand packet structure, used to facilitate routing within an InfiniBand fabric. The question asks why the LRH is called a “local header,” which relates to its role in the InfiniBand network architecture.
According to NVIDIA’s official InfiniBand documentation, the LRH is termed “‘local’ because it contains the addressing information necessary for routing packets between nodes within the same InfiniBand subnet.” The LRH includes fields such as the Source Local Identifier (SLID) and Destination Local Identifier (DLID), which are assigned by the subnet manager to identify the source and destination endpoints within the local subnet. These identifiers enable switches to forward packets efficiently within the subnet without requiring global routing information, distinguishing the LRH from the Global Routing Header (GRH), which is used for inter-subnet routing.
Exact Extract from NVIDIA Documentation:
“The Local Routing Header (LRH) is used for routing InfiniBand packets within a single subnet. It contains the Source LID (SLID) and Destination LID (DLID), which are assigned by the subnet manager to identify the source and destination nodes in the local subnet. The LRH is called a ‘local header’ because it facilitates intra-subnet routing, enabling switches to forward packets based on LID-based forwarding tables.”
-NVIDIA InfiniBand Architecture Guide
This extract confirms that option A is the correct answer, as the LRH’s primary function is to route traffic between nodes within the local subnet, leveraging LID-based addressing. The term “local” reflects its scope, which is limited to a single InfiniBand subnet managed by a subnet manager.
Reference:LRH and GRH InfiniBand Headers – NVIDIA Enterprise Support Portal

NEW QUESTION 55
What are the prerequisites for performing Flow Analysis with NetQ?

Cumulus 4.x and later / Spectrum-2 and later / LCM enabled

Cumulus 5.x and later / Spectrum-3 and later / On-premises deployment

Cumulus 5.x and later / Spectrum-2 and later / On-premises deployment

Cumulus 5.x and later / Spectrum-2 and later / LCM enabled

NEW QUESTION 56
In which mode of the BlueField DPU does the ARM system on the DPU control the NIC data path, but allow access to the DPU OS from the host?

Separated Host mode

NIC mode

DPU mode

Restricted mode

NEW QUESTION 57
What is the total throughput of the SN5600 Spectrum-X switch?

12.8 petabits per second

25.6 terabits per second

102.4 gigabits per second

51.2 terabits per second

NVIDIA NCP-AIN Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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 3	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.