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Answer: An aggregate function to summarize the data
An aggregate function to summarize the data is necessary to perform a PIVOT operation in Spark SQL. PIVOT transforms data from rows into columns, creating a new column for each distinct value in a specified column. To effectively perform this transformation, you need to aggregate the data within each group (defined by the PIVOT column). Common aggregate functions used in PIVOT include SUM, AVG, COUNT, MIN, and MAX. The other options, while useful in other contexts, are not directly required for a PIVOT operation.
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What is a necessary component to perform a PIVOT operation in Spark SQL?
A
A DISTINCT clause to ensure unique values
B
A JOIN clause to merge data from different tables
C
An aggregate function to summarize the data
D
A LIMIT clause to restrict the number of rows returned
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