Measured data
Professional Data Engineer
We scored 50 real Professional Data Engineer exam questions 1-10 on question complexity and broke the result down by exam domain.
- 50 questions scored
- 4 domains
- 2.0/10 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.
- Building and operationalizing data processing systems14 questions · complexity 2.0/10 · Gentle
36% multi-select · 0% scenario · 29% interactive
- Designing data processing systems11 questions · complexity 2.0/10 · Gentle
36% multi-select · 0% scenario · 27% interactive
- Ensuring solution quality15 questions · complexity 2.0/10 · Gentle
33% multi-select · 0% scenario · 33% interactive
- Operationalizing machine learning models10 questions · complexity 1.8/10 · Gentle
30% 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 |
|---|---|---|---|---|---|---|
| Building and operationalizing data processing systems | 28% | 14 | 5 | 5 | 4 | 2.0/10Gentle |
| Designing data processing systems | 22% | 11 | 4 | 4 | 3 | 2.0/10Gentle |
| Ensuring solution quality | 30% | 15 | 5 | 5 | 5 | 2.0/10Gentle |
| Operationalizing machine learning models | 20% | 10 | 4 | 3 | 3 | 1.8/10Gentle |
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 Professional Data Engineer 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 Professional Data Engineer 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 Google Cloud statistic.
- Questions analysed
- 50
- Exam domains
- 4
- Hardest domain
- Building and operationalizing data processing systems (2.0)
- Most approachable domain
- Operationalizing machine learning models (1.8)
- Question mix
- 18 single · 17 multi · 15 interactive
- Measured on
- Foundation
Frequently asked questions
What our Professional Data Engineer complexity numbers mean and how they are produced.