Hello @Sarah C Benjamin ,
Thanks for the question and using MS Q&A platform.
By default, all users have access to all data stored in a cluster’s managed tables unless table access control is enabled for that cluster. Once table access control is enabled, users can set permissions for data objects on that cluster.
Table access control lets you programmatically grant and revoke access to your data using the Azure Databricks view-based access control model.
Table Access control feature is only available in High Concurrency mode and needs to be turned on so that users can limit access to their database objects (tables, views, functions, etc.) created on the shared cluster. In case of ADLS, we recommend restricting access using the AAD Credential Passthrough feature instead of Table Access Controls.
Does it take access away from all folder in DBFS or just File store and user folder?
Table access control lets you control access to securable objects like catalogs, databases, tables, views, and functions.
For more details, refer to Enable table access control for your workspace and Data object privileges.
Hope this helps. Do let us know if you any further queries.
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