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Answer: Configuring Azure Policy to audit and enforce compliance standards, with Databricks logs streamed to Azure Sentinel for security analysis and threat detection
Configuring Azure Policy to audit and enforce compliance standards ensures that your data pipelines in Azure Databricks adhere to security and compliance standards. Streaming Databricks logs to Azure Sentinel, a cloud-native SIEM service, provides intelligent security analytics and threat detection. This combination not only enforces compliance standards but also enables proactive monitoring and response to security threats, making it the most comprehensive strategy for achieving security and compliance in regulated industries.
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In a regulated industry, ensuring that your data pipelines in Azure Databricks comply with security and compliance requirements is crucial. This includes monitoring for unauthorized access and data exfiltration attempts. Which strategy best achieves this goal?
A
Streaming audit and activity logs to Azure Log Analytics, applying custom KQL queries for compliance auditing, and visualizing results in Azure Dashboards
B
Using Databricks audit logs with manual reviews for compliance adherence and configuring Azure Security Center for basic threat detection
C
Configuring Azure Policy to audit and enforce compliance standards, with Databricks logs streamed to Azure Sentinel for security analysis and threat detection
D
Enabling Azure Databricks audit logs, integrating with Azure Purview for data governance, and using custom scripts to analyze logs for compliance violations
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