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Answer: Utilizing Azure Policy with Azure Functions to trigger remediation scripts based on compliance evaluation results
Azure Policy enables the definition and enforcement of policies to ensure resource compliance with organizational security standards and governance policies. By integrating Azure Functions, remediation scripts can be automatically triggered upon detection of non-compliant resources by Azure Policy evaluations. This method automates the remediation process, swiftly bringing non-compliant Azure Databricks resources back into compliance without manual effort. Azure Functions offer a serverless compute solution that scales with demand, presenting an efficient and cost-effective approach for automating remediation tasks. Thus, the combination of Azure Policy and Azure Functions delivers a robust, automated solution for maintaining compliance of Azure Databricks resources with organizational standards and policies.
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How can you automate the remediation of non-compliant resources in Azure Databricks to ensure they meet organizational security standards and governance policies?
A
Implementing a custom solution with Azure Logic Apps to monitor Azure Databricks resources and apply corrections using Azure CLI or PowerShell
B
Configuring Azure Security Center to automatically remediate non-compliant resources within Azure Databricks workspaces
C
Utilizing Azure Policy with Azure Functions to trigger remediation scripts based on compliance evaluation results
D
Leveraging Azure Automation State Configuration to enforce desired state configurations for Databricks resources