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You are developing an Apache Spark job in Azure Databricks to ingest JSON-formatted data.
You need to parse a nested JSON string into a DataFrame that contains multiple rows.
Which Spark SQL function should you use?
A
explode
B
filter
C
coalesce
D
extract