Measured data
Oracle Cloud Infrastructure 2026 Generative AI Professional
We scored 50 real Oracle Cloud Infrastructure 2026 Generative AI Professional exam questions 1-10 on question complexity and broke the result down by exam domain.
- 50 questions scored
- 4 domains
- 2.2/10 overall complexity
certilumComplexity by exam domain
Higher scores mean more demanding question formats. The exam score is computed over the whole bank, not averaged across domains.
- Fundamentals of Large Language Models10 questions · complexity 2.2/10 · Gentle
40% multi-select · 0% scenario · 30% interactive
- Implement RAG using OCI Generative AI Service10 questions · complexity 1.8/10 · Gentle
30% multi-select · 0% scenario · 30% interactive
- Using OCI Generative AI RAG Agents Service10 questions · complexity 2.8/10 · Gentle
40% multi-select · 20% scenario · 30% interactive
- Using OCI Generative AI Service20 questions · complexity 2.0/10 · Gentle
35% multi-select · 0% scenario · 30% 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 |
|---|---|---|---|---|---|---|
| Fundamentals of Large Language Models | 20% | 10 | 4 | 3 | 3 | 2.2/10Gentle |
| Implement RAG using OCI Generative AI Service | 20% | 10 | 4 | 3 | 3 | 1.8/10Gentle |
| Using OCI Generative AI RAG Agents Service | 20% | 10 | 4 | 3 | 3 | 2.8/10Gentle |
| Using OCI Generative AI Service | 40% | 20 | 7 | 7 | 6 | 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 Oracle Cloud Infrastructure 2026 Generative AI Professional 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 Oracle Cloud Infrastructure 2026 Generative AI Professional Foundation question bank, 50 questions, 4 domains. Published by CERTILUM. This is Certilum’s own measurement of its own question bank and is not an official Oracle statistic.
- Questions analysed
- 50
- Exam domains
- 4
- Hardest domain
- Using OCI Generative AI RAG Agents Service (2.8)
- Most approachable domain
- Implement RAG using OCI Generative AI Service (1.8)
- Question mix
- 19 single · 16 multi · 15 interactive
- Measured on
- Foundation
Frequently asked questions
What our Oracle Cloud Infrastructure 2026 Generative AI Professional complexity numbers mean and how they are produced.