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Answer: Use Azure Automation to periodically redeploy clusters with the latest Databricks runtime.
Using Azure Automation to periodically redeploy clusters with the latest Databricks runtime is an efficient strategy because it automates the process of updating clusters. Azure Automation is a cloud-based service that allows you to automate tasks across your environments. By creating runbooks in Azure Automation, you can define steps to deploy the latest Databricks runtime to your clusters on a schedule. This ensures your clusters are always up to date with the latest security patches and reduces manual effort. Databricks regularly releases runtime updates, including security patches, making this approach both secure and efficient.
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What automation strategy would you implement to ensure all Databricks clusters are updated with the latest security patches?
A
Schedule a regular job within Databricks to check for and apply updates to the runtime.
B
Rely on Databricks to automatically update runtimes without custom automation.
C
Use Azure Automation to periodically redeploy clusters with the latest Databricks runtime.
D
Implement a CI/CD pipeline that triggers cluster updates based on Databricks runtime releases.
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