Databricks Certified Data Engineer - Professional
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In the context of a Lakehouse architecture leveraging Delta Lake, a multinational corporation is planning to implement a comprehensive data governance strategy to address data quality, compliance, and security across its global operations. The strategy must support scalability, enforce data quality checks, and ensure compliance with international data protection regulations. Considering these requirements, which of the following approaches BEST demonstrates how Delta Lake can be utilized to implement effective data governance? Choose one option.
A
Delta Lake is not suitable for implementing data governance in a Lakehouse architecture because it lacks the necessary features for data quality checks and compliance tracking.
B
Delta Lake's APIs and metadata capabilities can be leveraged to enforce data quality checks, track data lineage, and maintain comprehensive data documentation, thereby supporting the corporation's data governance needs.
C
Implementing data governance in a Lakehouse architecture with Delta Lake only requires setting up basic data access controls, without the need for data quality checks or lineage tracking.
D
Data governance in a Lakehouse architecture using Delta Lake is primarily focused on data storage optimization, with minimal emphasis on data quality or compliance.