Update data-flow-sink.md

Author: kromerm

articles/data-factory/data-flow-sink.md

@@ -9,7 +9,7 @@ ms.service: data-factory
 ms.subservice: data-flows
 ms.topic: conceptual
 ms.custom: seo-lt-2019, ignite-2022
-ms.date: 10/26/2022
+ms.date: 11/01/2022
 ---
 
 # Sink transformation in mapping data flow
@@ -106,6 +106,10 @@ For example, if I specify a single key column of `column1` in a cache sink calle
 
 **Write to activity output** The cached sink can optionally write your output data to the input of the next pipeline activity. This will allow you to quickly and easily pass data out of your data flow activity without needing to persist the data in a data store.
 
+## Update method
+
+For database sink types, the Settings tab will include an "Update method" property. The default is insert but also includes checkbox options for update, upsert, and delete. To utilize those additional options, you will need to add an [Alter Row transformation](data-flow-alter-row.md) before the sink. The Alter Row will allow you to define the conditions for each of the database actions. If your source is a native CDC enable source, then you can set the update methods without an Alter Row as ADF is already aware of the row markers for insert, update, upsert, and delete.
+
 ## Field mapping
 
 Similar to a select transformation, on the **Mapping** tab of the sink, you can decide which incoming columns will get written. By default, all input columns, including drifted columns, are mapped. This behavior is known as *automapping*.