Study Databricks DE-ASSOC Production Pipelines: key concepts, common traps, and exam decision cues.
This section is where DE-ASSOC stops rewarding notebook-only thinking. The exam wants to know whether you can package, deploy, schedule, recover, and observe a real pipeline after the logic already exists.
| Lesson | Focus |
|---|---|
| 4.1 Asset Bundles | Learn what Asset Bundles are solving and how they differ from ad hoc manual deployment. |
| 4.2 Workflows & Jobs | Learn how jobs are scheduled, recovered, repaired, and rerun in production. |
| 4.3 Spark UI & Tuning | Learn how runtime evidence points to skew, shuffle, or other performance bottlenecks. |
| If the question is really about… | Go first to… |
|---|---|
| deployment structure, targets, bundle content, or repeatable promotion | 4.1 Databricks Asset Bundles and Deployment Structure |
| scheduling, task dependencies, repair, rerun, or serverless jobs | 4.2 Workflows, Scheduling, Repair/Rerun & Serverless Jobs |
| runtime evidence, stages, tasks, or query bottlenecks | 4.3 Spark UI, Query Bottlenecks & Runtime Optimization |