Which transformation method should you use in the mapping data flow?
You plan to create an Azure Data Factory pipeline that will include a mapping data flow.
You have JSON data containing objects that have nested arrays.
You need to transform the JSON-formatted data into a tabular dataset. The dataset must have one tow for each item in the arrays.
Which transformation method should you use in the mapping data flow?
A . unpivot
B . flatten
C . new branch
D . alter row
Answer: B
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