
Explanation:
Microsoft Defender for SQL is the optimal solution for auditing SQL statements that affect sensitive data with minimal administrative effort because:
Built-in Auditing Capabilities: Microsoft Defender for SQL provides comprehensive SQL auditing features that automatically track and log all SQL statements executed against the database, including those affecting sensitive data.
Advanced Threat Protection: It includes advanced security monitoring that can detect and alert on suspicious activities involving sensitive data, providing both auditing and security insights.
Minimal Administrative Overhead: Once enabled, Microsoft Defender for SQL operates automatically with continuous monitoring, requiring minimal ongoing administrative effort for monthly audits.
Integration with Azure Services: Audit logs can be automatically exported to Azure Storage, Log Analytics, or Event Hubs, facilitating easy monthly review and analysis.
Comprehensive Coverage: It provides a complete auditing solution that captures the full context of SQL operations, including user identities, timestamps, and the actual SQL statements executed.
While sensitivity labels are valuable for data classification and protection, they do not provide auditing capabilities:
Dynamic data masking focuses on data protection rather than auditing:
Workload management is unrelated to auditing sensitive data access:
Microsoft Defender for SQL is specifically designed to address the requirement of auditing SQL statements affecting sensitive data with minimal administrative overhead. Its automated monitoring, comprehensive logging, and integration with Azure's security ecosystem make it the most appropriate solution for monthly compliance audits.
Ultimate access to all questions.
No comments yet.
You have an Azure Synapse Analytics dedicated SQL pool named pool1.
You need to audit SQL statements that access sensitive data on a monthly basis. The solution must minimize administrative overhead.
What should you implement?
A
workload management
B
sensitivity labels
C
dynamic data masking
D
Microsoft Defender for SQL