When we use ADF to call Databricks we can pass parameters, nice. When we finish running the Databricks notebook we often want to return something back to ADF so ADF can do something with it. Think that Databricks might create a file with 100 rows in (actually big data 1,000 rows) and we then might want to move that file or write a log entry to say that 1,000 rows have been written.