
Measured data
NVIDIA Certified Professional - Agentic AI
We scored 60 real NVIDIA Certified Professional - Agentic AI exam questions 1-10 on question complexity and broke the result down by exam domain.
- 60 questions scored
- 10 domains
- 1.9/10 overall complexity
Complexity by exam domain
Higher scores mean more demanding question formats. The exam score is computed over the whole bank, not averaged across domains.
- Agent Architecture and Design9 questions · complexity 2.0/10 · Gentle
33% multi-select · 0% scenario · 33% interactive
- Agent Development9 questions · complexity 2.0/10 · Gentle
33% multi-select · 0% scenario · 33% interactive
- Cognition, Planning, and Memory6 questions · complexity 2.0/10 · Gentle
33% multi-select · 0% scenario · 33% interactive
- Deployment and Scaling8 questions · complexity 2.0/10 · Gentle
38% multi-select · 0% scenario · 25% interactive
- Evaluation and Tuning8 questions · complexity 2.0/10 · Gentle
38% multi-select · 0% scenario · 25% interactive
- Human-AI Interaction and Oversight4 questions · complexity 1.5/10 · Gentle
25% multi-select · 0% scenario · 25% interactive
- Knowledge Integration and Data Handling6 questions · complexity 2.0/10 · Gentle
33% multi-select · 0% scenario · 33% interactive
- NVIDIA Platform Implementation4 questions · complexity 1.5/10 · Gentle
25% multi-select · 0% scenario · 25% interactive
- Run, Monitor, and Maintain3 questions · complexity 2.0/10 · Gentle
33% multi-select · 0% scenario · 33% interactive
- Safety, Ethics, and Compliance3 questions · complexity 2.0/10 · Gentle
33% multi-select · 0% scenario · 33% interactive
Full per-domain breakdown
Blueprint weight, bank size and question format mix for every domain of the exam.
| Domain | Blueprint | Questions | Single | Multi | Interactive | Complexity |
|---|---|---|---|---|---|---|
| Agent Architecture and Design | 15% | 9 | 3 | 3 | 3 | 2.0/10Gentle |
| Agent Development | 15% | 9 | 3 | 3 | 3 | 2.0/10Gentle |
| Cognition, Planning, and Memory | 10% | 6 | 2 | 2 | 2 | 2.0/10Gentle |
| Deployment and Scaling | 13% | 8 | 3 | 3 | 2 | 2.0/10Gentle |
| Evaluation and Tuning | 13% | 8 | 3 | 3 | 2 | 2.0/10Gentle |
| Human-AI Interaction and Oversight | 7% | 4 | 2 | 1 | 1 | 1.5/10Gentle |
| Knowledge Integration and Data Handling | 10% | 6 | 2 | 2 | 2 | 2.0/10Gentle |
| NVIDIA Platform Implementation | 7% | 4 | 2 | 1 | 1 | 1.5/10Gentle |
| Run, Monitor, and Maintain | 5% | 3 | 1 | 1 | 1 | 2.0/10Gentle |
| Safety, Ethics, and Compliance | 5% | 3 | 1 | 1 | 1 | 2.0/10Gentle |
How the score is calculated
The formula is fixed and public, so anyone can reproduce these numbers from the same bank.
Every question in the NVIDIA Certified Professional - Agentic AI bank is measured on four signals that can be read directly from the database. Each signal is expressed as a share of the questions in the domain, and the four shares are combined with fixed weights:
- Multi-select questions (40% weight). Items with more than one correct answer. The candidate has to find all of them, which is the single hardest format in the bank.
- Scenario questions (30% weight). Questions longer than 150 characters, which describe a situation instead of a definition and therefore test reasoning rather than recall.
- Interactive questions (20% weight). Items that require reading code or a configuration snippet.
- Deep explanations (10% weight). Questions whose explanation runs past 300 characters, which signals a concept with real nuance behind it.
The combined share is multiplied by ten to produce a 1-10 score. The exam-level score is computed over the whole bank rather than averaged across domains, so a small domain cannot distort the total. Figures on this page are recomputed from the live bank on every crawl.
Data set: Certilum NVIDIA Certified Professional - Agentic AI Foundation question bank, 60 questions, 10 domains. Published by CERTILUM. This is Certilum’s own measurement of its own question bank and is not an official NVIDIA statistic.
- Questions analysed
- 60
- Exam domains
- 10
- Hardest domain
- Agent Architecture and Design (2.0)
- Most approachable domain
- Human-AI Interaction and Oversight (1.5)
- Question mix
- 22 single · 20 multi · 18 interactive
- Measured on
- Foundation
Frequently asked questions
What our NVIDIA Certified Professional - Agentic AI complexity numbers mean and how they are produced.