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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
Available Languages:English
Real Exam Qty:70-75
Exam Price:$400
Certificate Validity Period:2 years
Exam Duration:120 minutes
Exam Format:Scenario-based questions, Multiple-choice
Related Certifications:NVIDIA-Certified Professional AI Networking (NCP-AIN)
NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO)
NVIDIA-Certified Professional AI Operations (NCP-AIO)
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 2โ€“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
  • 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.
Topic 3
  • Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
Topic 4
  • 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 5
  • 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.

NVIDIA AI Infrastructure Sample Questions (Q58-Q63):

NEW QUESTION # 58
A system administrator needs to configure a BlueField DPU and enable RShim on the baseboard management controller (BMC). Which command should be executed?

Answer: B

Explanation:
In NVIDIA BlueField DPU architectures, the RShim (Remote-Shim) interface provides a vital communication channel between the DPU and the host or BMC, typically used for early-stage provisioning, console access, and firmware loading. While the DPU is usually managed via the host ' s PCIe bus, certain data center configurations require the DPU to be managed out-of-band via the server ' s Baseboard Management Controller (BMC). To enable this capability, a specific low-level command must be sent to the BMC to toggle the RShim functionality over the internal USB-to-BMC bridge. The command ipmitool raw
0x32 0x6a 1 is the verified raw IPMI hex code used in NVIDIA DGX and certified systems to enable the BMC-to-DPU RShim path. Once enabled, the BMC can " see " the DPU as a USB device, allowing the administrator to push a BlueField Boot (BFB) image to /dev/rshim0/boot for OS installation even if the host CPU is powered off or unresponsive. Option B and C are host-side service commands that assume the driver is already loaded and the hardware path is active, whereas the raw IPMI command is required to enable the hardware path itself.


NEW QUESTION # 59
You are installing multiple NVIDIA GPUs in a server for a deep learning cluster. To optimally utilize the GPUs, which software component(s) are MANDATORY after the physical installation and driver setup? (Select TWO)

Answer: C,E

Explanation:
The NVIDIA CUDA Toolkit provides the necessary libraries and tools for GPU-accelerated computing. A deep learning framework (TensorFlow or PyTorch) is required to build and train deep learning models that leverage the GPUs. While a web browser and text editor might be useful, they are not mandatory. Spreadsheet applications have no purpose here.


NEW QUESTION # 60
You are designing a network for a distributed training job utilizing multiple GPUs across multiple nodes. Which network characteristic is MOST critical for minimizing training time?

Answer: B,C,D

Explanation:
Distributed training involves frequent data exchange between GPUs. High bandwidth is necessary to move large datasets quickly. Low latency reduces the round-trip time for communication. Large MTIJ (Maximum Transmission Unit) can reduce overhead by transmitting larger packets. High packet loss is detrimental to performance. Low cost should not be prioritized over performance in a distributed training environment.


NEW QUESTION # 61
Refer to the image:

Which MAC address should be used by the system administrator as the DPU's out-of-band management interface MAC address?

Answer: C

Explanation:
The label shows the base host MAC as 0002C9270500. The BlueField DPU out-of-band management interface uses the derived management MAC by incrementing the base host MAC, resulting in 0002C9270502.


NEW QUESTION # 62
You have a Kubernetes cluster with nodes running different versions of the NVIDIA driver. You need to ensure that your containerized AI applications are always compatible with the specific driver version running on the node where they are scheduled. How can you achieve this driver version compatibility in a cloud-native way?

Answer: A

Explanation:
The NVIDIA Operator is designed to manage the lifecycle of NVIDIA drivers and related components within a Kubernetes cluster, including automated installations, updates, and version management. This ensures a consistent and compatible driver version across all nodes, simplifying application deployment and management. The operator is the cloud-native approach to managing the NVIDIA stack. Option A is manual and inflexible. Option B relies on proper NVIDIA Driver setup on the host. Option D is a complex undertaking. Option E is insecure.


NEW QUESTION # 63
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