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Yes, SQL aggregation and comparison problems like this are common in data-focused interviews at FAANG and other tech companies. They test understanding of joins, grouping, and conditional logic in queries.
In SQL problems like this, relational tables and grouped result sets act as the primary structures. Aggregations and joins are used instead of traditional data structures like arrays or hash maps.
The optimal approach uses SQL aggregation with GROUP BY to compute monthly averages. First calculate the company-wide average salary per month, then compute department-level averages and compare them using a CASE condition.
You need to understand JOIN operations, GROUP BY aggregation, date formatting or extraction, and conditional logic using CASE. These concepts help compute and compare averages across departments and the entire company.