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Exam Code NCP-AIN
Exam Name NVIDIA-Certified Professional AI Networking
Vendor NVIDIA
Total Questions 240
Last Updated 26-Oct, 2026
Free NCP-AIN Questions Get Premium Access
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Free NCP-AIN Practice Questions

Explore 7 free practice questions for the NVIDIA NCP-AIN exam and review the answers and explanations to support your preparation.

  1. Question 1

    Single answer

    [InfiniBand Security] You are concerned about potentialsecurity threats and unexpected downtime in your InfiniBand data center. Which UFM platform uses analytics to detectsecurity threats, operational issues, and predict network failures in InfiniBand data centers?

    • Option A:
      Host Agent
      Correct
    • Option B:
      Enterprise Platform
      Correct
    • Option C:
      Cyber-AI Platform
      Correct
    • Option D:
      Telemetry Platform
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: C

    Explanation

    The NVIDIA UFM Cyber-AI Platform is 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

  2. Question 2

    Single answer

    [InfiniBand Optimization] A high-performance InfiniBand fabric requires a routing engine that maximizes throughput and network utilization while reducing congestion. Which option below is the best routing engine for InfiniBand? 

    • Option A:
      Adaptive Routing
      Correct
    • Option B:
      Random Routing 
      Correct
    • Option C:
      Shortest Path Routing
      Correct
    • Option D:
      Round Robin Routing
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: A

    Explanation

    Adaptive Routing in InfiniBand networks dynamically selects the optimal path for data packets based on current network conditions, such as congestion levels and link utilization. This approach ensures that traffic is evenly distributed across the network, preventing bottlenecks and maximizing overall throughput. By continuously monitoring the network and adjusting routes in real-time, Adaptive Routing enhances performance and reliability, making it the preferred choice for high performance computing environments where consistent low latency and high bandwidth are critical. Reference: NVIDIA InfiniBand Adaptive Routing Technology Whitepaper

  3. Question 3

    Single answer
    [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? 
    • Option A:
      Mellanox OFED
      Correct
    • Option B:
      Container Runtime
      Correct
    • Option C:
      Network Operator
      Correct
    • Option D:
      GPU Operator
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: C

    Explanation

    The NVIDIA Network Operator is 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 ensuresthat networking components are consistently and correctly configured across the cluster, reducing manual intervention and potential configuration errors.
    Reference: NVIDIA Network Operator Documentation

  4. Question 4

    Single answer

    Which of the following commands would you use to assign the IP address 20.11.12.13 to the management interface in SONiC?​

    • Option A:
      nv set interface mgmt ip 20.11.12.13 20.11.12.254
      Correct
    • Option B:
      interface mgmt0 vrf mgmt ip address 20.11.12.13 20.11.12.254
      Correct
    • Option C:
      sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254
      Correct
    • Option D:
      config ip add etho 20.11.12.13/24 20.11.12.254​
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: C

    Explanation

    In SONiC, to assign a static IP address to the management interface, the correct command is:
    sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254
    This command sets the IP address and the default gateway for the management interface.​
    SONiC (Software for Open Networking in the Cloud) is an open-source network operating system used on NVIDIA Spectrum-X platforms, including Spectrum-4 switches, to provide a flexible and scalable networking solution for AI and HPC data centers. Configuring the management interface in SONiC is a critical task for enabling remote access and network management. The question asks for the correct command to assign the IP address 20.11.12.13 to the management interface, typically identified as eth0 in SONiC, as it is the default management interface for out-of-band management.
    Based on NVIDIA’s official SONiC documentation, the correct command to assign an IP address to the management interface involves using the config command-line utility, which is part of SONiC’s configuration framework. The command sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254 is the standard method to configure the IP address and gateway for the eth0 management interface. This command specifies the interface (eth0), the IP address with its subnet mask (20.11.12.13/24), and the default gateway (20.11.12.254), ensuring proper network connectivity.
    Exact Extract from NVIDIA Documentation:
    “To configure the management interface in SONiC, use the config interface ip add command. For example, to assign an IP address to the eth0 management interface, run:
    sudo config interface ip add eth0 < IP_ADDRESS > / < PREFIX_LENGTH > < GATEWAY >
    Example:
    sudo config interface ip add eth0 20.11.12.13/24 20.11.12.254
    This command adds the specified IP address and gateway to the management interface, enabling network access.”
    NVIDIA SONiC Configuration Guide
    This extract confirms that option C is the correct command for assigning the IP address to the management interface in SONiC. The use of sudo ensures the command is executed with the necessary administrative privileges, and the syntax aligns with SONiC’s configuration model, which persists the changes in the configuration database.
    [Reference: Dell EMC Networking S-Series Basic Switch Management Configuration​, ]

  5. Question 5

    Single answer

    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?

    • Option A:
      Adaptive Routing
      Correct
    • Option B:
      PXN
      Correct
    • Option C:
      Graph Search Optimization
      Correct
    • Option D:
      SHARP v2
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: B

    Explanation

    The correct answer is PXN (Peer eXchange Network) .
    From the NVIDIA 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 Routing is a fabric-level feature for dynamic path rerouting.
    Graph Search Optimization is used internally for topology modeling in NCCL.
    SHARP v2 is a switch-based collective acceleration method, unrelated to PXN.

    [Reference: NVIDIA NCCL User Guide – PXN Feature Section, ]

  6. Question 6

    Single answer

    Which service on Cumulus switches can monitor layer 1, layer 2, layer 3, tunnel, buffer, and ACL related issues?

    • Option A:
      WJH
      Correct
    • Option B:
      ONIE
      Correct
    • Option C:
      NCLU
      Correct
    • Option D:
      BGP
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: A

    Explanation

    The "What Just Happened" (WJH) service on Cumulus switches provides real-time visibility into network problems by monitoring various layers and components, including layer 1, layer 2, layer 3, tunnel, buffer, and Access Control List (ACL) related issues. WJH streams detailed and contextual telemetry data, enabling administrators to diagnose and troubleshoot network problems effectively.​
    Reference Extracts from NVIDIA Documentation:
    "WJH can monitor layer 1, layer 2, layer 3, tunnel, buffer and ACL related issues."​
    "The WJH service enables you to diagnose network problems by looking at dropped packets."​

  7. Question 7

    Single answer

    You are optimizing an AI workload that involves multiple GPUs across different nodes in a data center. The application requires both high-bandwidth GPU-to-GPU communication within nodes and efficient communication between nodes.
    Which combination of NVIDIA technologies would best support this multi-node, multi-GPU AI workload?​

    • Option A:
      NVLink for both intra-node and inter-node GPU communication.
      Correct
    • Option B:
      InfiniBand for both intra-node and inter-node GPU communication.
      Correct
    • Option C:
      NVLink for intra-node GPU communication and InfiniBand for inter-node communication.
      Correct
    • Option D:
      PCIe for intra-node GPU communication and RoCE for inter-node communication.​
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: C

    Explanation

    For optimal performance in multi-node, multi-GPU AI workloads:
    NVLink provides high-speed, low-latency communication between GPUs within the same node.
    InfiniBand offers efficient, scalable communication between nodes in a data center. Combining these technologies ensures both intra-node and inter-node communication needs are effectively met.​
    [Reference:NVIDIA NVLink & NVSwitch: Fastest HPC Data Center Platform​, ]