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You are loading data from an OLTP database to a data warehouse. The database contains a table named Sales.
Sales contains details of records that have a type of refund and records that have a type of sales.
The data warehouse design contains a table for sales data and a table for refund data.
Which component should you use to load the data to the warehouse?
A . the Slowly Changing Dimension transformation
B . the Conditional Split transformation
C . the Merge transformation
D . the Data Conversion transformation
E . an Execute SQL task
F . the Aggregate transformation
G . the Lookup transformation
Answer: B
Explanation:
The Conditional Split transformation can route data rows to different outputs depending on the content of the data. The implementation of the Conditional Split transformation is similar to a CASE decision structure in a programming language. The transformation evaluates expressions, and based on the results, directs the data row to the specified output. This transformation also provides a default output, so that if a row matches no expression it is directed to the default output.
References: https://docs.microsoft.com/en-us/sql/integration-services/data-flow/transformations/conditionalsplit-
Transformation