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The NVIDIA-Certified Professional AI Networking (NCP-AIN)

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NCP-AIN Exam Dumps
  • Exam Code: NCP-AIN
  • Vendor: NVIDIA
  • Certifications: NVIDIA-Certified Professional
  • Exam Name: NVIDIA-Certified Professional AI Networking
  • Updated: May 8, 2026 Free Updates: 90 days Total Questions: 72 Try Free Demo

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Coverage of Official NVIDIA NCP-AIN Exam Domains

Our curriculum is meticulously mapped to the NVIDIA official blueprint.

AI Data Center Design & Optimization (5%)

Understand the "AI Factory" architectural components, rail-optimized topologies, and the specialized GPU-to-GPU communication requirements for large-scale model training.

NVIDIA Spectrum Networking (30%)

The core of AI Ethernet. Mastery of Spectrum-X switch configuration, implementing RoCE (RDMA over Converged Ethernet), and managing lossless networking with ECN and PFC.

NVIDIA InfiniBand Networking (25%)

Deep dive into high-availability InfiniBand fabrics, Subnet Manager (SM) configuration, and implementing secure multi-tenancy using Partition Keys (PKeys).

Kubernetes & AI Integration (15%)

Deploying and managing the NVIDIA Network Operator within K8s clusters to provide high-performance RDMA interfaces to containerized AI workloads.

Troubleshooting & Performance Monitoring (25%)

Expert usage of Unified Fabric Manager (UFM), telemetry analysis, and "What Just Happened" (WJH) diagnostics to isolate latency and congestion in the fabric.

NVIDIA NCP-AIN Exam Domains Q&A

Certified instructors verify every question for 100% accuracy, providing detailed, step-by-step explanations for each.

Question 1 NVIDIA NCP-AIN
QUESTION DESCRIPTION:

What are the two general user account types in MLNX-OS?

Pick the 2 correct responses below:

  • A.

    viewer

  • B.

    monitor

  • C.

    admin

  • D.

    enable

Correct Answer & Rationale:

Answer: B, C

Explanation:

MLNX-OS, the operating system for NVIDIA's networking devices, defines two primary user account types: admin and monitor . The admin account has full administrative privileges, allowing for complete configuration and management of the system. The monitor account, on the other hand, is designed for users who need to view system configurations and statuses without making any changes. This separation ensures a clear distinction between users who manage the system and those who monitor its operations.​

Reference Extracts from NVIDIA Documentation:

    "There are two user roles or account types: admin and monitor. As 'admin', the user is privileged to run all the available commands. As 'monitor', the user can run commands that show system configuration and status, or set terminal settings."​

MLNX-OS is the network operating system used on NVIDIA’s Mellanox Ethernet switches, including the Spectrum family (e.g., Spectrum-4 switches in the Spectrum-X platform), designed for high-performance Ethernet networking in AI and HPC data centers. MLNX-OS provides a command-line interface (CLI) for configuring and managing switch operations, with user accounts controlling access to various commands and functions. The question asks for the two general user account types in MLNX-OS, which define the primary privilege levels for user access.

According to NVIDIA’s official MLNX-OS documentation, the two general user account types in MLNX-OS are:

    monitor : This account type has read-only access, allowing users to view configurations, status, and logs but not modify settings. It is used for monitoring and troubleshooting without risking unintended changes.

    admin : This account type has full read-write access, enabling users to view and modify all configurations, execute commands, and manage the switch’s operations. It is intended for administrators with complete control over the system.

These two account types represent the primary privilege levels in MLNX-OS, providing a clear distinction between read-only monitoring and full administrative access.

Exact Extract from NVIDIA Documentation:

“MLNX-OS supports two primary user account types for managing switch operations:

    monitor : Users with monitor privileges have read-only access to the system. They can view configuration details, system status, and logs but cannot make changes to the configuration.

    admin : Users with admin privileges have full read-write access, allowing them to configure, manage, and troubleshoot all aspects of the switch, including executing privileged commands. These account types ensure secure and controlled access to the switch’s management functions.” — NVIDIA MLNX-OS User Manual

This extract confirms that options B (monitor) and C (admin) are the correct answers. These account types are the standard privilege levels in MLNX-OS, used to manage access for monitoring and administrative tasks on Spectrum switches, including those in Spectrum-X deployments.

Question 2 NVIDIA NCP-AIN
QUESTION DESCRIPTION:

Which of the following statements are true about AI workloads and adaptive routing?

Pick the 2 correct responses below.​

  • A.

    AI workloads are made of a small number of volumetric flows called elephant flows.

  • B.

    AI workloads have very high entropy that helps spread traffic evenly without congestion.

  • C.

    Flow-based load balancing mechanisms increase congestion risk.

  • D.

    ECMP-based load balancing works best for AI workloads.​

Correct Answer & Rationale:

Answer: A, C

Explanation:

AI workloads, particularly in large-scale training scenarios, are characterized by a small number of high-bandwidth, long-lived flows known as "elephant flows." These flows can dominate network traffic and are prone to causing congestion if not managed effectively.​

Traditional flow-based load balancing mechanisms, such as Equal-Cost Multipath (ECMP), distribute traffic based on flow hashes. However, in AI workloads with low entropy (i.e., limited variability in flow characteristics), ECMP can lead to uneven traffic distribution and congestion on certain paths.​

Adaptive routing techniques, which dynamically adjust paths based on real-time network conditions, are more effective in managing AI traffic patterns and mitigating congestion risks.​

[Reference:Powering Next-Generation AI Networking with NVIDIA SuperNICs​, ]

Question 3 NVIDIA NCP-AIN
QUESTION DESCRIPTION:

What is the purpose of configuring NVUE to ignore Linux files?​

  • A.

    Enable pushing of configuration through Ansible template files.

  • B.

    Enable the persistent manipulation of specific settings using both NVUE and flat-file approaches.

  • C.

    Reduce NVUE memory utilization to optimize performance.

  • D.

    Improve Cumulus security by reducing the attack surface.​

Correct Answer & Rationale:

Answer: B

Explanation:

Configuring NVUE to ignore certain underlying Linux files allows administrators to manage specific settings manually or through automation tools like Ansible without NVUE overwriting these configurations. This approach enables the persistent manipulation of settings using both NVUE and flat-file methods, providing flexibility in network management.

Question 4 NVIDIA NCP-AIN
QUESTION DESCRIPTION:

What are two methods for accessing the operating system on a BlueField DPU?

Pick the 2 correct responses below

  • A.

    Via the networking interfaces (data ports) in NIC mode

  • B.

    Via the rshim interface over the PCIe bus

  • C.

    Via the Redfish API

  • D.

    Via rshim over a USB connection on the host

Correct Answer & Rationale:

Answer: B, D

Explanation:

Accessing the BlueField DPU Operating System (OS) is possible through rshim , either over PCIe or USB, and via SSH through the OOB interface when in DPU mode.

From the NVIDIA BlueField Software Documentation :

"You can access the BlueField OS through the rshim interface. The rshim module enables host-to-DPU communication either via PCIe (default) or USB."

    B. rshim over PCIe : Default when BlueField is installed in a host.

    D. rshim over USB : Useful for provisioning or systems without PCIe drivers.

Incorrect Options:

    A (NIC mode) : BlueField acts as a transparent NIC; OS access is not available to the host.

    C (Redfish) : Redfish is for out-of-band management, not direct OS-level access.

[Reference: Accessing BlueField OS – rshim via PCIe and USB Methods, ]

Question 5 NVIDIA NCP-AIN
QUESTION DESCRIPTION:

Why is the InfiniBand LRH called a local header?​

  • A.

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

  • B.

    It provides the LIDs from the local subnet manager.

  • C.

    It allows traffic on a local link only.

  • D.

    It provides the parameters for each local HCA.​

Correct Answer & Rationale:

Answer: A

Explanation:

The Local 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​, ]

Question 6 NVIDIA NCP-AIN
QUESTION DESCRIPTION:

You are troubleshooting a Spectrum-X network and need to ensure that the network remains operational in case of a link failure. Which feature of Spectrum-X ensures that the fabric continues to deliver high performance even if there is a link failure?

  • A.

    RoCE Congestion Control

  • B.

    RoCE Adaptive Routing

  • C.

    NVIDIA NetQ

  • D.

    RoCE Performance Isolation

Correct Answer & Rationale:

Answer: B

Explanation:

RoCE Adaptive Routing is a key feature of NVIDIA Spectrum-X that ensures high performance and resiliency in the network, even in the event of a link failure. This technology dynamically reroutes traffic to the least congested and operational paths, effectively mitigating the impact of link failures. By continuously evaluating the network's egress queue loads and receiving status notifications from neighboring switches, Spectrum-X can adaptively select optimal paths for data transmission. This ensures that the network maintains high throughput and low latency, crucial for AI workloads, even when certain links are down.​

Reference Extracts from NVIDIA Documentation:

    "Spectrum-X employs global adaptive routing to quickly reroute traffic during link failures, minimizing disruptions and preserving optimal storage fabric utilization."​

    "RoCE Adaptive Routing avoids congestion by dynamically routing large AI flows away from congestion points. This approach improves network resource utilization, leaf/spine efficiency, and performance."​

Question 7 NVIDIA NCP-AIN
QUESTION DESCRIPTION:

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.​

Correct Answer & Rationale:

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.​

Question 8 NVIDIA NCP-AIN
QUESTION DESCRIPTION:

What command sequence is used to identify the exact name of the server that runs as the master SM in a multi-node fabric?

  • A.

    sminfo

    smpquery ND < LID >

  • B.

    sminfo

    smpquery Nl < LID >

  • C.

    ibstat

    sminfo < LID >

  • D.

    ibis

    ibsim < LID >

Correct Answer & Rationale:

Answer: A

Explanation:

To identify the active Subnet Manager (SM) node in an InfiniBand fabric, the correct command sequence is:

    sminfo

      Displays general information about the active SM in the fabric, including its LID .

    smpquery ND <</b> LID >

      Resolves the Node Description (ND) at the given LID, revealing the exact hostname or label of the SM server.

From the InfiniBand Tools Guide:

"The sminfo utility provides the LID of the master SM. Use smpquery ND <</b> LID > to resolve the node name hosting the SM."

This two-step approach is standard for locating and validating the SM identity in fabric diagnostics.

Incorrect Options:

    B (Nl) is an invalid query type.

    C and D do not identify SMs.

[Reference: InfiniBand SM Tools – sminfo & smpquery Usage, ]

Question 9 NVIDIA NCP-AIN
QUESTION DESCRIPTION:

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.

    Spectrum-X Manager

  • B.

    NetQ

  • C.

    DOCA

  • D.

    GPU Cloud​

Correct Answer & Rationale:

Answer: B

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. ​

Question 10 NVIDIA NCP-AIN
QUESTION DESCRIPTION:

Which command should be used to configure RoCE on a Cumulus switch?

  • A.

    nv set roce qos enable on

  • B.

    nv set qos roce enable on

  • C.

    nv qos roce enable on

  • D.

    nv roce qos enable on

Correct Answer & Rationale:

Answer: B

Explanation:

Comprehensive and Detailed 150 to 250 words of Explanation From NVIDIA AI Networking Topics:

The correct answer is B. nv set qos roce enable on . In NVIDIA Cumulus Linux, RoCE configuration is managed under the QoS hierarchy in NVUE because RoCE depends on lossless Ethernet behavior, priority flow control, congestion management, and related quality-of-service mechanisms. NVIDIA’s official Cumulus Linux documentation shows that the RoCE feature is configured through nv set qos roce , and in newer command references this appears explicitly as nv set qos roce enable on|off . This confirms both the command structure and the ordering of the keywords: nv set → qos → roce → enable on .

The other options are incorrect because they do not follow valid NVUE syntax. NVIDIA documents NVUE commands in a strict object-based order, where the top-level feature group comes immediately after nv set . Since RoCE is implemented as part of the QoS framework, qos must appear before roce . Commands such as nv set roce qos enable on , nv qos roce enable on , and nv roce qos enable on do not match the official NVIDIA command model. Therefore, for enabling RoCE on a Cumulus switch in an NVIDIA AI networking environment, the verified command is nv set qos roce enable on .

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The NCP-AIN NVIDIA exam usually comprises 100 to 120 questions. However, the number of questions may vary. The reason is the format of the exam that may include unscored and experimental questions sometimes. Mostly, the actual exam consists of various question formats, including multiple-choice, simulations, and drag-and-drop.

How long does it take to study for the NVIDIA-Certified Professional Certification exam?

It actually depends on one's personal keenness and absorption level. However, usually people take three to six weeks to thoroughly complete the NVIDIA NCP-AIN exam prep subject to their prior experience and the engagement with study. The prime factor is the observation of consistency in studies and this factor may reduce the total time duration.

Is the NCP-AIN NVIDIA-Certified Professional exam changing in 2026?

Yes. NVIDIA has transitioned to v1.1, which places more weight on Network Automation, Security Fundamentals, and AI integration. Our 2026 bank reflects these specific updates.

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Standard dumps rely on pattern recognition. If NVIDIA changes a single IP address in a topology, memorized answers fail. Our rationales teach you the logic so you can solve the problem regardless of the phrasing.