Databricks Certified Data Engineer - Professional
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In a Databricks environment, ensuring data governance is critical for compliance with data protection regulations and securing sensitive information. You are tasked with implementing a solution that not only controls data access but also adheres to the principles of least privilege and regular compliance audits. Considering the need for scalability, cost-effectiveness, and the ability to quickly adapt to changing data access requirements, which of the following approaches would BEST meet these objectives? Choose one option.
A
Provide all users with unrestricted access to the entire dataset and rely on periodic manual reviews to revoke unnecessary access, ensuring compliance through retrospective adjustments.
B
Develop a comprehensive single view for all data consumers and apply static data masking techniques to hide sensitive information, assuming that this one-size-fits-all approach will simplify access control.
C
Deploy role-based access control (RBAC) utilizing dynamic views to automatically adjust data visibility based on user roles, coupled with systematic audits of access patterns and logs to detect and rectify any compliance deviations in real-time.
D
Encrypt all data at rest and in transit, distributing decryption keys exclusively to a select group of administrators, under the assumption that encryption alone suffices for compliance and access control.