Question

A data engineer is building a Lakeflow Declarative Pipeline (formerly Delta Live Tables) for the silver layer. The source is an append-only bronze table that continuously receives new order records, and the team wants the silver dataset to process only newly arrived rows incrementally rather than recomputing the entire dataset on every pipeline update. Which dataset type should the engineer define?

Accepted Answer

A streaming table, using spark.readStream against the bronze table

Answer

A materialized view that reads the bronze table with a standard batch read

Answer

A temporary view that is recomputed each run

Answer

A standard Delta table created with CREATE TABLE AS SELECT outside the pipeline