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NVIDIA NCP-AII Exam Overview:

Certification Vendor:NVIDIA
Exam Name:NVIDIA AI Infrastructure (NCP-AII) Certification Exam
Exam Number:NCP-AII
Related Certifications:NVIDIA-Certified Professional AI Operations (NCP-AIO)
NVIDIA-Certified Professional AI Networking (NCP-AIN)
NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO)
Real Exam Qty:70-75
Available Languages:English
Certificate Validity Period:2 years
Exam Price:$400
Exam Duration:120 minutes
Exam Format:Scenario-based questions, Multiple-choice
Recommended Training:AI Infrastructure & Operations Fundamentals (NVIDIA Training)
AI Infrastructure Professional Workshop
Exam Registration:Official NVIDIA Certification Portal
NVIDIA AI Infrastructure Certification Page
Sample Questions:NVIDIA NCP-AII Sample Questions
Exam Way:Online proctored exam (remote) or authorized test center depending on region
Pre Condition:Recommended 2–3 years of experience working in data center environments with NVIDIA hardware solutions (GPU servers, networking, storage).
Official Syllabus URL:https://www.nvidia.com/en-eu/learn/certification/ai-infrastructure-professional/

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NVIDIA NCP-AII Exam Syllabus Topics:

TopicDetails
Topic 1
  • Troubleshoot and Optimize: Covers identifying and replacing faulty hardware components such as GPUs, network cards, and power supplies, along with performance optimization for AMD
  • Intel servers and storage.
Topic 2
  • Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
Topic 3
  • System and Server Bring-up: Covers end-to-end physical setup of GPU-based AI infrastructure, including BMC
  • OOB
  • TPM configuration, firmware upgrades, hardware installation, and power and cooling validation to ensure servers are workload-ready.
Topic 4
  • Cluster Test and Verification: Covers full cluster validation through HPL and NCCL benchmarks, NVLink and fabric bandwidth tests, cable and firmware checks, and burn-in testing using HPL, NCCL, and NeMo.
Topic 5
  • Control Plane Installation and Configuration: Covers deploying the software stack including Base Command Manager, OS, Slurm
  • Enroot
  • Pyxis, NVIDIA GPU and DOCA drivers, container toolkit, and NGC CLI.

NVIDIA AI Infrastructure Sample Questions (Q21-Q26):

NEW QUESTION # 21
A systems engineer is updating firmware across a large DGX cluster using automation. What is the best practice for minimizing risk and ensuring cluster health during and after the process?

Answer: B

Explanation:
Large-cluster firmware updates should be performed in controlled batches after draining nodes from the scheduler so active workloads are not disrupted. Running pre-update diagnostics establishes baseline health, and post-update verification confirms each batch is stable before expanding the update to more nodes.


NEW QUESTION # 22
You need to configure persistent network settings on your BlueField SmartNIC after deploying BlueField OS. Which file should you modify to ensure these settings are applied after each reboot, assuming a Debian-based distribution?

Answer: E

Explanation:
On Debian-based systems, the '/etc/network/interfaces' file is the standard location for configuring persistent network settings. Changes made to this file will be applied on each boot. Vetc/resolv.conf is for DNS settings, &/etc/hostname' sets the system's hostname, and '/etc/sysconfig/network-scripts/ifcfg-' is more commonly found on Red Hat-based systems. letc/dhcp/dhclient.conf is for DHCP settings.


NEW QUESTION # 23
You want to automate the NGC CLI installation process across multiple hosts in your infrastructure. What are the best practices to achieve this?

Answer: B,D,E

Explanation:
Automation is highly recommended. Configuration management tools (A), custom scripts (B), and containerization (D) are all viable options for automating the NGC CLI installation process. Manually installing on each host is inefficient and error-prone. Distributing the config.json (E) could be a security risk.


NEW QUESTION # 24
An engineer must ensure that a BlueField-3 NIC firmware download matches the cluster's PSID. Which step is critical before installation?

Answer: D

Explanation:
The critical step is to query the device PSID using mstflint -d < PCI_ID > query before selecting or installing the firmware image. The PSID identifies the exact NVIDIA networking device variant, board configuration, and supported firmware branch. In a BlueField-3 or ConnectX-based AI infrastructure environment, using firmware built for the wrong PSID can cause installation failure, unsupported behavior, or device instability.
This is especially important in cluster operations because firmware consistency must be maintained across nodes, DPUs, SuperNICs, and adapters. Checking BMC reachability may help with platform management but does not confirm firmware-device compatibility. Firmware file size is not a reliable compatibility indicator.
Hash verification can confirm file integrity, but it does not prove the image matches the device PSID.
NVIDIA MFT and mstflint workflows are designed for querying device identity and firmware details before burn or update operations, and NVIDIA documentation references PSID-based firmware querying in MFT workflows.


NEW QUESTION # 25
Which of the following commands correctly configures the NGC CLI to use a specific API key stored in an environment variable named 'NGC API KEY'?

Answer: C

Explanation:
The 'ngc config set' command uses '-apikey' to specify the API key directly. The correct syntax is 'ngc config set - to ensure the environment variable is properly expanded and passed as a string.


NEW QUESTION # 26
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