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NVIDIA NCP-AII Practice Test Questions Answers

Exam Code: NCP-AII (Updated 123 Q&As with Explanation)
Exam Name: NVIDIA AI Infrastructure
Last Update: 25-May-2026
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Questions Include:

  • Single Choice: 113 Q&A's
  • Multiple Choice: 10 Q&A's

  • NCP-AII Overview

    NVIDIA NCP‑AII Exam Overview

    Category Details
    Certification Name NVIDIA‑Certified Professional – AI Infrastructure
    Exam Code NCP‑AII
    Organization NVIDIA
    Certification Track Professional – AI Infrastructure
    Purpose Validates ability to deploy, configure, validate, troubleshoot, and optimize advanced NVIDIA AI infrastructure in real data center environments
    Target Audience Data center admins, infrastructure engineers, network admins, storage/system admins, solution architects
    Prerequisites ~2–3 years of operational experience with NVIDIA hardware in data centers
    Certification Level Professional
    Delivery Mode Online proctored (remote)
    Language English
    Certification Validity 2 years (must retake exam to renew)
    Exam Fee ~$400 USD

     

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    NVIDIA NCP-AII Exam Topics Breakdown

    Domain % of Exam Topics Covered
    1. System and Server Bring‑up 31% Deploy GPU servers; configure BMC, OOB, TPM; firmware updates; validate hardware & cabling; power/cooling checks; initial storage setup
    2. Physical Layer Management 5% Manage BlueField DPUs; Multi‑Instance GPU (MIG) configuration
    3. Control Plane Installation & Configuration 19% Install Base Command Manager (BCM) and HA; OS setup; configure cluster (Slurm/Enroot/Pyxis); drivers & container toolkit
    4. Cluster Test & Verification 33% Run stress tests (HPL, NCCL), cable signal validation, NCCL/E/W fabric tests, ClusterKit, NeMo burn‑in, storage tests
    5. Troubleshoot & Optimize 12% Fault identification & resolution; replace hardware; performance optimization

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    NVIDIA NCP-AII Exam Dumps FAQs

    The NCP‑AII exam validates your expertise in deploying, managing, and optimizing NVIDIA AI infrastructure solutions. It ensures professionals can handle GPU‑accelerated systems, AI workloads, and enterprise‑level deployments.

    This exam is designed for AI engineers, data scientists, ML engineers, and IT professionals who work with GPU-accelerated computing and NVIDIA AI ecosystems.

    The exam is moderately challenging, requiring both theoretical knowledge and practical experience with NVIDIA AI solutions. With practice questions, real questions, and PDF questions from Solution2Pass, candidates can prepare effectively and reduce difficulty.

    The exam covers AI infrastructure, deep learning concepts, GPU acceleration, NVIDIA CUDA basics, model deployment, and performance optimization. Practice questions and PDF questions help reinforce these topics.

    You can book the exam through NVIDIA’s official certification portal. Register online, select your preferred testing center or remote proctoring option, and schedule your exam.

    The exam typically contains around 50 multiple-choice exam questions. These questions assess knowledge of AI workloads, GPU computing, and NVIDIA software platforms.

    Candidates are generally given about 60 to 90 minutes to complete the exam. Practicing with timed practice tests helps improve speed and accuracy.

    NVIDIA does not always publish a fixed passing score, but candidates are expected to demonstrate strong conceptual understanding across all exam domains.

    Solution2Pass provides updated exam dumps, real questions, and a testing engine that simulates the real exam environment. These practice tests help candidates understand question patterns and improve confidence.

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    NCP-AII Questions and Answers

    Question # 1

    During BCM cluster setup, an engineer must configure bonded network interfaces on DGX nodes for high availability. Which cmsh command sequence properly configures a bond0 interface with two physical NICs?

    A.

    device use dgx001 ; interfaces add vlan vlan100 ; set parent bond0 ; set mode 1 ; set network internalnet

    B.

    device use dgx001 ; interfaces add bond bond0 ; append interfaces enp225s0f1np1 enp97s0f1np1 ; set mode 1 ; set network internalnet

    C.

    device use dgx001 ; interfaces set enp225s0f1np1 network internalnet ; interfaces set enp97s0f1np1 network internalnet

    D.

    device use dgx001 ; interfaces delete enp225s0f1np1 ; interfaces delete enp97s0f1np1

    Question # 2

    A DGX H100 system shows intermittent “Link Down” errors on a 200G DAC cable. CVT reports “No Signal” despite physical connection. What is the first hardware check?

    A.

    Replace the switch’s optical transceiver with a higher-wattage model.

    B.

    Reconfigure the port for 100G speeds via NVIDIA MST.

    C.

    Upgrade all leaf switches to support RS-FEC.

    D.

    Verify cable compatibility via the ConnectX-7 firmware validated adapters list and inspect connectors for damage.

    Question # 3

    During cluster validation, the Cable Validation Tool (CVT) reports " Underperforming (BER) " for an InfiniBand link. Which BER thresholds indicate a critical signal quality issue requiring cable replacement?

    A.

    Rx power variance > 3dB between lanes

    B.

    Effective BER > 0 during the first 125 minutes of link operation

    C.

    Raw BER > 1e-12 or Effective BER > 1.5E-254 for < 6hr measurements

    D.

    Temperature > 85°C on transceiver module

    Question # 4

    After a recent OS upgrade, you need to reinstall NVIDIA GPU and DOCA drivers to support both AI training and accelerated networking. What best practice ensures successful installation and full hardware capability?

    A.

    Download and install only the specific versions of GPU and DOCA drivers listed as compatible with the current OS and hardware.

    B.

    Apply legacy drivers for hardware released within the last two years to maintain maximum compatibility across versions.

    C.

    Install the latest available drivers directly from the NVIDIA website.

    D.

    Use the default drivers provided by the Linux distribution, unless an installation fails during system boot.

    Question # 5

    An administrator needs to perform a comprehensive pre-production stress test on a DGX H100 system. Which command validates GPU, CPU, memory, and storage components while following NVIDIA’s recommended procedure?

    A.

    nvidia-smi -q | grep " GPU Stress Test "

    B.

    sudo nvsm stress-test --force

    C.

    stress --cpu $(nproc) --io $(nproc) --timeout 600

    D.

    ./gpu_burn 60

    What our customers are saying

    Andorra Andorra
    Scarlett Murphy
    Apr 21, 2026
    NCP-AII exam preparation was excellent with Solution2Pass. The real questions covered AI infrastructure, deployment, and optimization. The PDF questions and testing engine made studying convenient.
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