What is a lakehouse table in Fabric, and how is it typically stored?

• A. A lakehouse table is a managed Delta table stored in OneLake
• B. A lakehouse table is a Delta Lake format table stored on OneLake
• C. A lakehouse table is a JSON document store
• D. A lakehouse table is a CSV file on OneLake

Answer: (B)

In Fabric, a lakehouse table is a Delta Lake format table stored on OneLake. Delta Lake provides a transaction log and ACID guarantees on top of the data lake, giving you reliable schema enforcement, atomic commits, and features like time travel and concurrent reads/writes. Storing the table on OneLake means the Delta files and metadata live in Fabric’s unified storage layer, making the data accessible and governable across tools and pipelines. Data stored as JSON or CSV lacks the Delta Lake transaction log and schema enforcement, so those formats don’t offer the same lakehouse capabilities.