NVIDIA NVIDIA-Certified Professional NCP-AII

NVIDIA NCP-AII Exam Syllabus Topics:

Reference: https://www.nvidia.com/en-us/learn/certification/ai-infrastructure-professional/

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NVIDIA AI Infrastructure Sample Questions:

Question #1
You are preparing a Spectrum-based NVIDIA switch for integration into a production Al cluster.
To confirm that all modules are running approved firmware versions, you must use the appropriate command from the switch CLI. Which step most accurately meets best practices for ensuring firmware version consistency and cluster compliance?

A. Use the show version command to check the overall system version and confirm all modules are updated if the system version matches the documentation.
B. Use the show inventory command to display component details and serial numbers before proceeding, as this output will include all firmware versions for review.
C. Use the show interfaces status command to verify all ports are up, and proceed with integration if no interface errors are shown.
D. Use the show asic-version command to review firmware versions for all modules, then compare these against the documented approved versions.

Question #2
A DGX H100 system shows intermittent "Link Down" errors on a 2006 DAC cable. CVT reports
"No Signal" despite physical connection. What is the first hardware check?

A. Reconfigure the port for 1006 speeds via NVIDIA MST.
B. Upgrade all leaf switches to support RS-FEC.
C. Verify cable compatibility via Connectx-7 firmware's validated adapters list and inspect connectors for damage.
D. Replace the switch's optical transceiver with a higher-wattage model.

Question #3
You are expanding a DGX-based deep learning cluster to train on large, high-resolution images that cannot fit into local cache. Multiple nodes will access this data concurrently and require high performance. Which storage and networking solution best meets these requirements?

A. Deploy a high-performance parallel filesystem across InfiniBand or 40/100GbE, ensuring at least
3GB/s per node and scalable aggregate bandwidth for all cluster workloads.
B. Increase the SSD RAID-0 local cache size in each node so it can absorb most training data, making network storage type and speed less important for performance.
C. Recommend general-purpose object storage for all training data as it's optimized for deep learning workloads and distributed data access at any scale
D. Implement a standard NFS server on a 10GbE network since the cluster can access the export and job performance will not be impacted.

Question #4
An administrator is configuring node categories in BCM for a DGX BasePOD cluster. They need to group all NVIDIA DGX H200 nodes under a dedicated category for GPU-accelerated workloads. Which approach aligns with NVIDIA's recommended BCM practices?

A. Create a new "dgx-h200" category, assign all DGX H200 nodes to it.
B. Use the existing "dgxnodes" category without modification, as it is preconfigured for all DGX systems.
C. Assign nodes to the "login" category to simplify Slurm integration.
D. Avoid categories and configure each DGX node individually via CLI.

Question #5
An engineer needs to validate 400G DAC cable signal integrity in a DGX cluster. Which CVT metric best identifies marginal cables needing replacement?

A. Effective BER > 1.5E-254 during a ≤6-hour monitoring window.
B. Lane power variance < 3dB across all transceivers.
C. Temperature fluctuations > 5°C during validation.
D. Transceiver model matching QSFP-DD specifications.

Solutions: