a data extraction activity allows you to extract data from Adobe Campaign database and export it to a

file1. You can select the data to be extracted, the file format, and the output location1.

The handle groupings option lets you group data by one or more criteria and apply aggregate

functions such as count, sum, average, etc2. You can also filter the final result of the aggregate by

using a having clause2.

the step that should be taken to filter the final result of the aggregate for customers who have

ordered more than 10 times would be option A. Handle groupings (GROUP BY + HAVING) would

allow you to group customers by their order count and filter those who have ordered more than 10

times.

In the context of data extraction, particularly when working with aggregate data such as counting the

number of orders per customer, the SQL clauses GROUP BY and HAVING are used. The GROUP BY

clause is used to aggregate the data according to one or more columns – in this case, the customer

identifier. The HAVING clause is then used to filter the aggregated results based on a condition – in

this case, customers who have ordered more than 10 times. This approach effectively filters out the

final result to include only customers meeting the specified ordering criteria.

Reference: The use of GROUP BY and HAVING clauses is standard in SQL for performing aggregations

and filtering on aggregate data.