UPDATED: V30 Nov 2025 | Preparation for Databricks Data Engineer Professional certification exam with hands-on training
Instruction covers critical performance topics including Delta Lake partitioning, file layout optimization, and transaction log management.
The curriculum includes hands-on training for building ETL pipelines using Lakeflow Declarative Pipelines and Autoloader.
Detailed modules address Unity Catalog, dynamic views, row filters, and Delta Sharing protocols.
One signal suggests video interfaces may not match the current Databricks UI, and certain pre-configuration steps for labs are missing. Note that these signals predated the displayed update date, which does not prove a correction has been made.
One signal suggests potential issues accessing specific datasets or mounting DBFS within certain account types. This signal also predates the displayed update, leaving its current status uncertain.
Strong alignment between the professional-level curriculum and the target certification goals.
