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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional AI Infrastructure Exam |
| Exam Number: | NCP-AII |
| Exam Format: | Scenario-based items, Multiple-choice questions |
| Passing Score: | Pass/Fail only, no numerical score |
| Certificate Validity Period: | 2 years |
| Related Certifications: | NVIDIA-Certified Associate AI Infrastructure and Operations (NCA-AIIO) NVIDIA-Certified Professional AI Networking (NCP-AIN) NVIDIA-Certified Professional AI Operations (NCP-AIO) |
| Real Exam Qty: | 60-70 |
| Exam Price: | $400 USD |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| Recommended Training: | NVIDIA AI Infrastructure Training |
| Exam Registration: | NVIDIA Certification Portal |
| Sample Questions: | NVIDIA NCP-AII Sample Questions |
| Exam Way: | Online remote proctored or onsite at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended 2–3 years of experience in data center infrastructure, Linux administration, and NVIDIA hardware/software environments |
| Official Syllabus URL: | https://www.nvidia.com/en-us/learn/certification/ai-infrastructure-professional/ |
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NEW QUESTION # 93
An engineer wants to verify that their NVIDIA GPU is accessible inside a Docker container for running deep learning workloads. They have installed the NVIDIA Container Toolkit on a machine with working NVIDIA drivers. Which command demonstrates the correct way to run a container that can access all available GPUs?
Answer: B
Explanation:
The --gpus all option exposes all available host GPUs to the Docker container through the NVIDIA Container Toolkit. Running nvidia-smi inside the CUDA container verifies that the container can see and access the GPUs correctly.
NEW QUESTION # 94
What command is needed to measure BER (Bit Error Rate)?
Answer: C
Explanation:
In NVIDIA networking environments, specifically those utilizing InfiniBand or high-speed Ethernet via ConnectX adapters, monitoring the physical link quality is critical for preventing packet loss and RDMA retransmissions. The mlxlink tool is part of the NVIDIA Firmware Tools (MFT) package and is the primary utility for checking the status and health of the physical link. Using the -d flag specifies the device (e.g., /dev
/mst/mt4123_pciconf0), while the -c (counters) and -e (error counters/BER) flags provide a detailed readout of the link's performance. Bit Error Rate (BER) is a fundamental metric for signal integrity. NVIDIA systems typically distinguish between "Raw BER" (errors before Forward Error Correction) and "Effective BER" (errors remaining after FEC). A high BER often points to a failing transceiver, a dirty fiber connector, or a marginal DAC cable. While ethtool can show general statistics in Ethernet mode, mlxlink is the verified method for granular BER measurement across InfiniBand and high-speed fabrics, allowing engineers to determine if a link meets the "Error-Free" operation standards required for large-scale AI collective communications like NCCL.
NEW QUESTION # 95
You are installing the operating system as part of the initial setup for a new NVIDIA Base Command Manager (BCM) cluster. Which two of the following actions are essential for a successful OS installation on the cluster's head node? (Pick the 2 correct responses below)
Answer: B,D
Explanation:
Setting up the head node is the foundational step in building an NVIDIA Base Command Manager cluster.
Option Bis essential because BCM is typically deployed via a specialized "installer ISO" that contains the customized OS (RHEL or Ubuntu base) and the Bright Cluster Manager software stack. Verifying the checksum ensures that no corruption occurred during download, preventing mysterious installation failures.
Option Dis equally critical because AI clusters rely heavily on synchronized clocks for log aggregation, authentication tokens (like LDAP/Active Directory), and performance monitoring across multiple nodes. If NTP (Network Time Protocol) is not configured during the initial wizard, the resulting time drift can cause the cmdaemon to fail synchronization between the head node and the compute nodes. Modern NVIDIA DGX systems require UEFI boot; therefore, Legacy mode (Option C) is incorrect. PXE configuration (Option A) is a post-installation task that is managed by the head node once the BCM software is already running.
NEW QUESTION # 96
You are tasked with configuring an NVIDIAA100 GPU for a multi-tenant environment using MIG. The goal is to provide the following MIG configuration:
Answer: D
Explanation:
The question specifies that you need the configuration that allows 7x1g.10gb instances and one 7g.80gb. The format is num_1g/num_2g/num_3g/num_4g/num_7g/num_10g/num_20g/num_40g. In the provided configuration, 0/1/2/3/4/5/6 means one 7g, then we need the instances.
NEW QUESTION # 97
You are deploying a multi-tenant AI infrastructure where different users or groups have isolated network environments using VXLAN. Which of the following is the MOST important consideration when configuring the VTEPs (VXLAN Tunnel Endpoints) on the hosts to ensure proper network isolation and performance?
Answer: B
Explanation:
The most critical aspect of VXLAN configuration for multi-tenancy is ensuring that each tenant has a unique VNI. The VNI is a 24-bit identifier that segments the VXLAN network into isolated logical networks. Using unique VNIs guarantees that traffic from one tenant remains isolated from other tenants, preventing data leakage and ensuring security. Using overlapping or shared VNIs would defeat the purpose of VXLAN- based isolation.
NEW QUESTION # 98
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