How can I configure customer-managed keys for workspace storage in Databricks, and which types of data does it apply to?
To configure customer-managed keys for workspace storage in Databricks, you need to follow these steps:

1. Create a customer-managed key in AWS Key Management Service (KMS).
2. Grant Databricks access to the key by adding the Databricks AWS account as a key user.
3. In the Databricks workspace, go to the Admin Console and select the Workspace Settings tab.
4. Scroll down to the Customer Managed Keys section and enter the ARN of the customer-managed key you created in AWS KMS.
5. Click Save to apply the changes.

Customer-managed keys for workspace storage apply to the following types of data:

* Customer-accessible DBFS root data, including the FileStore area.
* Job results.
* Databricks SQL query results.
* MLflow Models.
* Delta Live Table, if you use a DBFS path in your DBFS root.
* Interactive notebook results, if you configure Databricks to store all results in your workspace storage bucket.

However, customer-managed keys for workspace storage do not apply to serverless compute resources, as disks for serverless compute resources are short-lived and tied to the lifecycle of the serverless workload. When compute resources are stopped or scaled down, the VMs and their storage are destroyed.