How do you implement end-to-end data governance in Fabric?

• A. Establish data owners and basic access policies only.
• B. Implement data retention rules without monitoring or lineage.
• C. Set up lineage, catalog, data quality checks, retention rules, and monitoring, but enforcement is optional.
• D. Establish data owners, access policies, lineage, catalog, data quality checks, retention rules, and monitoring; enforce through roles and policies.

Answer: (D)

End-to-end data governance in Fabric means implementing a complete framework that covers who owns data, who can access it, how data moves and changes, and how those rules are enforced across the data lifecycle. You set data owners and access policies to establish accountability and protect sensitive information. You also implement a data catalog and lineage to discover datasets and trace data as it’s transformed and moved through systems. Data quality checks ensure that data meets defined standards as it flows, while retention rules govern how long data is kept and when it should be removed, and monitoring provides visibility into policy adherence and data health. Enforcement through roles and policies makes sure these rules are actually applied by Fabric, turning governance from a plan into action. When enforcement is missing or optional, governance loses practical impact; when any essential pieces like lineage, catalog, quality checks, or monitoring are absent, you lose traceability and assurance. The full, enforced set is what delivers true end-to-end governance in Fabric.