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Yes, similar SQL aggregation problems are common in coding interviews, especially for data-focused roles. Interviewers often test a candidate's understanding of conditional counting, filtering, and percentage calculations.
The optimal approach is to use SQL aggregation with a conditional check. Count the number of orders where order_date equals customer_pref_delivery_date and divide it by the total number of orders to compute the percentage. This method requires only a single table scan.
The problem primarily relies on conditional aggregation. Using CASE WHEN expressions or boolean conditions inside SUM or COUNT helps determine how many orders qualify as immediate deliveries.
Since this is a SQL database problem, the data is stored in a relational table. The solution focuses on filtering and aggregating rows rather than using traditional data structures like arrays or hash maps.