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Answer: Execute Data Flow Activity
Azure Data Factory's Execute Data Flow Activity allows you to create data transformations visually using a drag-and-drop interface. It supports a wide range of transformation activities, including the shredding of JSON data. By using the JSON Extractor transformation within a data flow, you can flatten the nested JSON structures into a tabular format, making it easier to analyze and process the data further.
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You are tasked with processing JSON data from a variety of sources in Azure Data Factory. The JSON data contains nested structures that need to be flattened for further analysis. Which Azure Data Factory activity would you use to achieve this?
A
Copy Activity
B
Execute Pipeline Activity
C
Execute Data Flow Activity
D
Lookup Activity
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