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Exam Review — Nvidia Certified Professional — AI Operations with Labs (NCP-AIOL)

2 min readJun 28, 2026

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Nvidia has recently changed their NCP-AIO exam to NCP-AIOL , changing format from pure 60+ multiple-choice questions to 35 MCQ + 3 Labs. I’ve recently taken the exam and passed with below scoring:

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my NCP-AIOL scoring

With 35 high quality objective questions and 3 practical labs, the exam validates both theoretical and practical understanding on Nvidia AI operations ecosystem — particularly on BCM, Kubernetes, and Slurm.

While I couldn’t share the exact questions that got up from the exam, I’d like to share below subjective tips for attempting the latest NCP-AIOL (WITH LAB) exam

1.⁠ ⁠Don’t attempt without practical experience on Nvidia BCM. This is probably the main hurdle for folks to master Nvidia tech (hopefully Nvidia could release some open source version of these practical environments for people to practice with)

2.⁠ ⁠⁠Certainly, have hands-on experience on Kubernetes and Slurm. For these, you could setup your own clusters on normal servers to have some hands-on experience. ( with Nvidia GPU would be ideal)

3.⁠ ⁠⁠More on the Certiverse platform itself. Basically I got stuck during the practical exam twice and 2 tips on how to unstuck yourself during the lab section:
•⁠ ⁠On the TOP LEFT part, select the session that got…

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Kyle Law
Kyle Law

Written by Kyle Law

Software Engineer - Writing about Cloud & DevSecOps