Databricks Certified Data Engineer - Associate
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In a Databricks workspace, you are tasked with ensuring the regular backup of a large number of notebooks to safeguard against data loss. The solution must be scalable, cost-effective, and minimize manual intervention. Additionally, the backup process should comply with organizational policies that require backups to be stored in a secure, cloud-based storage service for easy access and recovery. Considering these requirements, which of the following approaches is the BEST to perform this backup, and why? (Choose one option.)
A
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.
B
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.
C
Depend solely on Databricks' built-in data recovery features, assuming that these features provide sufficient protection against all types of data loss scenarios.
D
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.