Which Data Flow transformation should you use?

You are designing a SQL Server Integration Services (SSIS) data flow to load sales transactions from a
source system into a data warehouse hosted on Windows Azure SQL Database. One of the columns in
the data source is named ProductCode.
Some of the data to be loaded will reference products that need special processing logic in the data
flow.
You need to enable separate processing streams for a subset of rows based on the source product code.
Which Data Flow transformation should you use?

You are designing a SQL Server Integration Services (SSIS) data flow to load sales transactions from a
source system into a data warehouse hosted on Windows Azure SQL Database. One of the columns in
the data source is named ProductCode.
Some of the data to be loaded will reference products that need special processing logic in the data
flow.
You need to enable separate processing streams for a subset of rows based on the source product code.
Which Data Flow transformation should you use?

A.
Multicast

B.
Conditional Split

C.
Script Task

D.
Data Conversion

Explanation:
We use Conditional Split to split the source data into separate processing streams.
A Script Component (Script Component is the answer to another version of this question) could be used
but this is not the same as a Script Task.



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