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While this exact problem may not appear frequently, similar SQL aggregation and date-analysis questions are common in technical interviews. Companies often test candidates on their ability to filter, group, and analyze time-based data in databases.
The optimal approach is to filter transactions that occur on Fridays using SQL date functions and then group them by their week position within the month. Aggregation functions such as SUM or COUNT can then be applied to compute the required metrics.
Commonly used SQL functions include DAYOFWEEK(), WEEKDAY(), EXTRACT(), and other date utilities that help identify Fridays and derive the week-of-month from a date. These functions allow efficient filtering and grouping directly within the query.
The problem mainly relies on relational database concepts such as filtering, grouping, and aggregation. Understanding how to manipulate date fields and perform grouped calculations in SQL is essential.