The Databricks Data Engineer Professional Exam, Broken Down
What you actually need to know first
If you are asking "How do I pass DE-PROFESSIONAL", the honest answer starts with understanding the shape of the paper before you touch any study material. The Databricks Certified Data Engineer Professional exam is a linear, multiple-choice test of 59 questions with a 120-minute time limit. That works out to roughly 122 seconds per question - about two minutes each - which is generous enough to read carefully but tight enough that you cannot afford to freeze on unfamiliar Spark or Delta Lake behaviour.
One thing worth stating plainly: Databricks does not publish a pass score for this exam. Any blog that quotes you a magic percentage is guessing. Because of that, a good practise exam should not pretend to hand you a pass/fail verdict pulled from thin air. It should tell you where you actually stand section by section, so you know what to fix.
The ten domains and how they are weighted
The exam is not evenly spread. It leans heavily toward writing code for data processing, then toward cost and performance work, with a long tail of governance, security, and operational topics. Knowing the weighting tells you where to spend your revision hours. Here is the published breakdown.
| Domain | Weight |
|---|---|
| Developing Code for Data Processing using Python and SQL | 22% |
| Cost & Performance Optimisation | 13% |
| Data Transformation, Cleansing, and Quality | 10% |
| Monitoring and Alerting | 10% |
| Ensuring Data Security and Compliance | 10% |
| Debugging and Deploying | 10% |
| Data Ingestion & Acquisition | 7% |
| Data Governance | 7% |
| Data Modelling | 6% |
| Data Sharing and Federation | 5% |
Read that top row again. More than a fifth of the exam is code you write in Python and SQL. If you are strong on architecture diagrams but shaky on actually transforming data in a notebook, the weighting is telling you where you will lose marks.
How to spend your preparation time
Because the single largest domain is writing processing code, most of your hours belong in a Databricks workspace, not a slide deck. Build small pipelines. Read and write Delta tables. Practise the transformation and data-quality patterns that make up another 10% of the paper. Cost and performance optimisation is the second-heaviest topic at 13%, so learn how to read a Spark UI, spot a skewed join, and reason about cluster sizing - these show up as scenario questions, not trivia.
The operational cluster - monitoring, security and compliance, and debugging and deploying, at 10% each - is easy to under-prepare because it feels like background knowledge. It is 30% of the exam combined. Treat it seriously. The smaller domains (governance, ingestion, modelling, sharing and federation) reward broad familiarity rather than deep drilling; do not over-invest there.
Where a mock test earns its place
Reading documentation tells you what you know. A timed DE-PROFESSIONAL mock test tells you what you can do under a clock, which is a different and more useful thing. Our Databricks Certified Data Engineer Professional mock test is built to match the real form: 59 questions, 120 minutes, multiple-choice, delivered linearly, covering every one of the ten sections at the published weighting above.
Be clear on one point of fidelity. This mock is multiple-choice, which is the format Databricks states for this exam, so the question type matches. Because Databricks publishes no pass score, the mock reports your proficiency per section rather than inventing a pass mark - a fabricated number would only mislead you. That per-domain readout is the point: it maps directly onto the weighting table, so a weak score on the 22% coding domain is a louder signal than a weak score on the 5% federation domain.
A simple study loop
Sit one full practise exam for data engineering cold, before you revise, to get a baseline. Look at which domains scored lowest, cross-reference them against the weights, and revise the heaviest weak spots first. Then sit another timed run a week later. Two or three honest cycles usually surface the gap between "I have read about this" and "I can answer this in two minutes." When you are consistently strong across the top domains, you are ready to book the real thing.
Ready to benchmark yourself? You can buy a mock test pack and start with a full timed run today, or pick up a practise exam pack once you have a baseline to beat.