Microsoft Fabric Analytics Engineer Associate DP-600
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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with implementing a data anonymization process for a healthcare application to comply with GDPR requirements. The solution must ensure patient data privacy while maintaining the ability to perform meaningful data analysis. Considering the need for compliance, data utility, and security, which of the following best describes the potential benefits and drawbacks of data anonymization in this scenario? (Choose one correct option)
A
Benefits: Enhanced compliance with GDPR by protecting patient data privacy and reducing the risk of data breaches. Drawbacks: Potential loss of data granularity which may affect the depth of data analysis and insights.
B
Benefits: Significant reduction in data storage costs and improved data consistency across the platform. Drawbacks: Limited ability to perform detailed data analysis due to decreased data granularity.
C
Benefits: Faster data access times and improved security measures against unauthorized access. Drawbacks: Increased operational complexity when updating anonymized data and risk of data duplication.
D
Benefits: Streamlined data model leading to easier data management and updates. Drawbacks: Higher storage costs and potential delays in query performance due to anonymization processes.