Manually export each notebook as a JSON file on a weekly basis and store these files in a local secure server, ensuring that each file is encrypted before storage.

Utilize the Databricks API to automate the export of notebooks as JSON files and store these files in a cloud storage service like Azure Blob Storage, setting up lifecycle management policies to optimize storage costs.

Depend solely on Databricks' built-in data recovery features, assuming that these features provide sufficient protection against all types of data loss scenarios.

Implement a third-party backup solution that captures the entire Databricks workspace, including notebooks, clusters, and configurations, storing the backup in an on-premises data center for enhanced security.