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Answer: Isolating tables in separate databases based on data quality tiers allows for easy permissions management through database ACLs and allows physical separation of default storage locations for managed tables.
Option A is correct because isolating tables into separate databases based on data tiers (bronze, silver, gold) aligns with Databricks best practices. This approach enables efficient permissions management via database ACLs, allowing granular control over access (e.g., restricting bronze tables to data engineers while granting ML teams access to silver and BI teams to gold). Physical separation of storage for managed tables also improves governance and security. Options B, C, D, and E are incorrect: B ignores the security impact of database organization; C risks exposing PII by centralizing access; D misrepresents the default database as secure; and E exaggerates the need for excessive databases. A balances security and collaboration by structuring databases around data tiers.
Author: LeetQuiz Editorial Team
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Which approach demonstrates optimal implementation practices for this Lakehouse migration, where bronze tables serve production data engineering, silver tables support both data engineering and machine learning, and gold tables power BI/reports—with PII present across all tiers but properly pseudonymized/anonymized in silver and gold—while balancing security requirements with cross-team collaboration needs?
A
Isolating tables in separate databases based on data quality tiers allows for easy permissions management through database ACLs and allows physical separation of default storage locations for managed tables.
B
Because databases on Databricks are merely a logical construct, choices around database organization do not impact security or discoverability in the Lakehouse.
C
Storing all production tables in a single database provides a unified view of all data assets available throughout the Lakehouse, simplifying discoverability by granting all users view privileges on this database.
D
Working in the default Databricks database provides the greatest security when working with managed tables, as these will be created in the DBFS root.
E
Because all tables must live in the same storage containers used for the database they're created in, organizations should be prepared to create between dozens and thousands of databases depending on their data isolation requirements.