Study Databricks DE-PRO Data Quality: key concepts, common traps, and exam decision cues.
This domain is where pipeline correctness starts to look operational. DE-PRO wants you to write transformations that stay efficient and to handle bad data visibly instead of pretending it does not exist.
| Lesson | Focus |
|---|---|
| 3.1 Joins, Windows & Transforms | Learn how DE-PRO frames large-scale transformation logic. |
| 3.2 Quarantine & Expectations | Learn how the exam expects explicit quality handling and quarantining behavior. |
| If the question is really about… | Go first to… |
|---|---|
| large joins, windows, aggregations, or efficient transformation logic | 3.1 Joins, Windows & Transforms |
| quality rules, quarantine, or bad-data visibility | 3.2 Quarantine & Expectations |