DP-203 · Question #52
Drag and Drop Question You need to create an Azure Data Factory pipeline to process data for the following three departments at your company: Ecommerce, retail, and wholesale. The solution must ensure
The correct answer is dept=='ecommerce', dept=='retail', dept=='wholesale'; ecommerce, retail, wholesale, all. In Azure Data Factory data flow, the conditional split transformation uses filter expressions like dept=='ecommerce', dept=='retail', dept=='wholesale' to route rows to named output streams. The output stream names must then be declared as 'ecommerce, retail, wholesale, all' - wh
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- dept=='ecommerce', dept=='retail', dept=='wholesale'
- ecommerce, retail, wholesale, all
Explanation
In Azure Data Factory data flow, the conditional split transformation uses filter expressions like dept=='ecommerce', dept=='retail', dept=='wholesale' to route rows to named output streams. The output stream names must then be declared as 'ecommerce, retail, wholesale, all' - where 'all' is the default/catch-all stream that captures rows not matching any prior condition, ensuring company-wide data processing is also supported. The order matters: conditions are evaluated top-down, and the unmatched remainder flows to the final named stream ('all'), which serves as the disjoint-false default output.
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