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Answer: Utilizing Azure Key Vault with Databricks to automate key rotation and seamlessly update key references in Databricks notebooks
The recommended strategy involves **Utilizing Azure Key Vault with Databricks** to automate key rotation and seamlessly update key references in Databricks notebooks. This approach offers several benefits: 1. **Automation**: Enables scheduled key rotations without manual intervention, ensuring keys are updated regularly without downtime. 2. **Seamless Updates**: Automatically updates key references in Databricks notebooks, keeping data encrypted with the latest keys without manual notebook updates. 3. **Compliance**: Azure Key Vault provides a secure, centralized key storage, helping maintain compliance with security standards. 4. **Minimal Downtime**: Scheduling rotations during off-peak hours minimizes disruption to data access. This method ensures data at rest in Azure Databricks remains secure and up-to-date with the latest encryption keys.
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What is the best approach for rotating encryption keys used by Azure Databricks for data at rest, ensuring minimal downtime and adherence to security policies?
A
Manually rotating keys in Azure Blob Storage and updating the Databricks configuration files accordingly
B
Implementing an Azure Logic App to monitor key expiration dates and automatically trigger rotation processes in Azure Key Vault and Databricks
C
Utilizing Azure Key Vault with Databricks to automate key rotation and seamlessly update key references in Databricks notebooks
D
Relying on Azure Managed Disk Encryption auto-rotation feature without requiring changes in Databricks configurations