Databricks Certified Data Engineer - Associate

Databricks notebooks provide real-time coauthoring (collaborative editing) that allows multiple users to work on the same notebook simultaneously with live cursors and presence indicators. This is the feature that directly addresses the scenario where two engineers are trying to pair-program on the same notebook: instead of juggling separate Git branches and merges, they can edit the same notebook at the same time and see each other’s edits in real time. Other options are either true but not the primary solution to simultaneous editing (A: Databricks has revision history and Git integration but for live collaboration coauthoring is the feature to use), or unrelated to the collaboration scenario (C: commenting exists and is useful for asynchronous reviews but does not enable simultaneous editing; D: multi-language support is about execution, not collaboration; E: interactive visualizations exist but are unrelated to coordinating simultaneous edits).