Exam DP-203 topic 4 question 53 discussion

D. Microsoft Defender for SQL Since you need to audit SQL statements that affect sensitive data in Azure Synapse Analytics dedicated SQL pool (Pool1), and you require a solution that minimizes administrative effort, the best choice is Microsoft Defender for SQL. Microsoft Defender for SQL provides Advanced Threat Protection (ATP) and SQL auditing, helping detect potential security threats and providing security recommendations. It includes auditing capabilities that log SQL queries affecting sensitive data. The audit logs can be stored in Log Analytics, Azure Storage, or Event Hub for analysis

Microsoft Defender for SQL provides advanced threat protection and auditing for Azure Synapse Analytics. It can track SQL statements, detect anomalies, and alert administrators to potential security risks. It helps in auditing access and changes to sensitive data. Why not the other options? A. Workload management → Manages query performance but does not provide auditing or security insights. B. Sensitivity labels → Helps classify and protect data but does not track or audit SQL queries. C. Dynamic data masking → Hides sensitive data in query results but does not audit SQL statements.

According to chat gpt anser is D. For the auditing related sensitive labels doesn't perform auditing but Microsoft Defender, hence D

Only defender provides auditing capabilities

Sensitivity Label Here the explanation https://learn.microsoft.com/en-us/azure/azure-sql/database/data-discovery-and-classification-overview?view=azuresql#what-is-dc

sensitivity labels doesn't allow to audit statements that affect sensitive data, Microsoft Defender for SQL does ref: https://learn.microsoft.com/en-us/azure/defender-for-cloud/defender-for-sql-introduction#advanced-threat-protection

D. Microsoft Defender for SQL Here’s why: Microsoft Defender for SQL: This service provides advanced threat protection and security capabilities for your SQL databases. It includes features like vulnerability assessments, advanced threat detection, and auditing capabilities. By enabling Microsoft Defender for SQL, you can automatically monitor and audit SQL statements that affect sensitive data, ensuring compliance and security with minimal administrative effort1. Other Options: Workload Management (A): This is more about managing and optimizing resource allocation and performance rather than auditing SQL statements. Sensitivity Labels (B): These are used to classify and protect sensitive data, but they do not provide auditing capabilities. Dynamic Data Masking ©: This feature helps to obfuscate sensitive data in query results but does not audit SQL statements.

Sensitivity Labels

Correct

Microsoft Defender for SQL is a tool that provides advanced SQL security capabilities, including vulnerability assessment, threat protection, and detection of anomalous activities that may indicate a security threat to your databases​​. However, for the specific need of auditing SQL statements affecting sensitive data, sensitivity labels are the more directly applicable feature​​.

Sensitivity labels will not help you with audit. It will secure your data but not help you with the SQL statements Microsoft Defender for Azure SQL helps you discover and mitigate potential database vulnerabilities and alerts you to anomalous activities that might be an indication of a threat to your databases. Vulnerability assessment: Scan databases to discover, track, and remediate vulnerabilities. Learn more about vulnerability assessment. Threat protection: Receive detailed security alerts and recommended actions based on SQL Advanced Threat Protection to provide to mitigate threats. Learn more about SQL Advanced Threat Protection. https://learn.microsoft.com/en-us/azure/defender-for-cloud/defender-for-sql-introduction

sensitive in ques= sensitive in options

Correct, chatgpt To conduct a monthly audit of SQL statements impacting sensitive data in Azure Synapse Analytics while minimizing administrative effort, include the use of Sensitivity Labels to classify sensitive data and utilize Microsoft Defender for SQL for advanced threat detection and monitoring of related activities. These tools will aid in governance and provide alerts for any suspicious access or manipulation of sensitive data. For a comprehensive approach to setting up these features, refer to the official Microsoft documentation for guidance.https://learn.microsoft.com/en-us/azure/synapse-analytics/