A junior data engineer seeks to leverage databricks video

Full Certification Question

A junior data engineer seeks to leverage Delta Lake's Change Data Feed functionality to create a Type 1 table representing all of the values that have ever been valid for all rows in a bronze table created with the property delta.enableChangeDataFeed = true . They plan to execute the following code as a daily job: from pyspark . sql . functions import col ( spark . read . format ( "delta" ) . option ( "readChangeFeed" , "true" ) . option ( "startingVersion" , 0 ) . table ( "bronze" ) . filter ( col ( "_change_type" ). isin ([ "update_postimage" , "insert" ])) . write . mode ( "append" ) . table ( "bronze_history_type1" ) ) Which statement describes the execution and results of running the above query multiple times?