data-engineer-professional video for a data engineer performs the following always-on streaming query to update the downstream table mobiles spark . readStream
A data engineer performs the following always-on streaming query to update the downstream table mobiles spark . readStream . format ( 'delta' ) . option ( 'readChangeFeed' , 'true' ) . table ( 'customers' ) . select ( 'mobile' ) . writeStream . format ( 'delta' ) . option ( 'checkpointLocation' , '/tmp/cust/_checkpoints/' ) . table ( 'mobiles' ) Assuming that before starting the query, both the tables( mobiles and customers ) were empty, what will be the number of records in the mobiles table after the execution of the following statements: INSERT INTO customers VALUES ( 'Tom' , ‘ 8635875 ’); INSERT INTO customers VALUES ( 'Paul' , ‘ 24984567 '); INSERT INTO customers VALUES (' Ben ', ‘79327492’); UPDATE customers SET mobile = ' 8474738 ' WHERE name = ‘Ben’; DELETE FROM customers WHERE mobile = ‘24984567’;