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SQL for Bank Customer Expenses

HardSQL · PostgreSQL00:00
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Your question is SQL for Bank Customer Expenses. Start with the requirements and the two tables on the right.

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Problem

Business Context

Fidelity Full View aggregates a customer's financial activity across connected accounts. A reporting team needs to identify each customer's peak monthly spending period.

Task

Write a PostgreSQL query that groups monthly expense records by Fidelity Full View customer and returns the month with the highest combined expense across all expense columns.

Requirements

  1. Treat NULL expense values as zero when calculating the monthly total.
  2. Calculate the largest individual expense category for the selected peak month using the expense columns.
  3. Return every customer, including customers with no expense records.
  4. If a customer has tied peak months, select the later month.

Schema

customers
ColumnTypeDescription
customer_idPKINTFidelity customer identifier
customer_nameVARCHAR(100)Customer display name
monthly_expenses
ColumnTypeDescription
expense_idPKINTUnique monthly expense record identifier
customer_idINTCustomer associated with the expense record
expense_monthDATEFirst day of the expense month
housing_expenseNUMERIC(12,2)Monthly housing expense
groceries_expenseNUMERIC(12,2)Monthly grocery expense
utilities_expenseNUMERIC(12,2)Monthly utility expense
transport_expenseNUMERIC(12,2)Monthly transportation expense
Tablescustomersmonthly_expenses
Your solutionPostgreSQL
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