Which of the following features does Databricks provide for version control?

Databricks offers built-in Git integration as a key feature for version control, facilitating collaboration and code management among team members. This integration allows users to connect their notebooks and projects with a Git repository, enabling functionalities such as cloning, committing changes, branching, and merging code. This not only streamlines the process of tracking changes over time but also enhances collaborative efforts by allowing multiple users to work on the same project simultaneously.

In contrast, the other options do not provide the same level of integration and utility within the Databricks environment. For instance, while manual tracking of changes can be done, it lacks automation and the robust features associated with a dedicated version control system like Git. Similarly, automatic versioning of all data is not a feature that Databricks provides; rather, version control pertains primarily to code management rather than data itself. Lastly, integration with Dropbox is not a built-in feature of Databricks for version control purposes, highlighting that it does not serve the intended functions related to code versioning and collaboration.