How to Categorize Your Bank Transactions With AI Quiz

Answers and explanations appear as you take the quiz.

1. Which columns does the guide recommend keeping before you upload a bank export to a chatbot?
   • Date, description and amount
   • Account number, balance and amount
   • Name, address and description
   • Every column the bank provides
2. Why choose a fixed category list before asking the AI to sort transactions?
   • It makes the file smaller
   • The bank requires it
   • Otherwise the model may invent near-duplicates like Food, Restaurants and Dining
   • Chatbots cannot read category names
3. A transaction reads 'SQ *BLUE DOOR'. What does the 'SQ *' prefix most likely tell you?
   • That the charge is a subscription
   • That the payment processor was Square, not what kind of business it is
   • That it is a charge based on square footage
   • That the line is a refund
4. Why should a credit card payment from your checking account usually be left out of spending totals?
   • It is always a fee
   • Banks hide it from exports
   • It counts as income
   • The purchases on the card are already counted, so including the payment counts them twice
5. How should the AI handle an unclear Amazon charge?
   • Label it Groceries
   • Delete the row
   • Mark it Needs review so you can decide
   • Split it evenly across all categories
6. Which check confirms that the AI did not drop or merge any rows?
   • The row count and category totals match the original file
   • The categories are in alphabetical order
   • The file opens without errors
   • The file has a Category column
7. For a file with thousands of transactions, why is a code-running data analysis tool more reliable than pasting text into a chat?
   • It connects directly to your bank
   • It removes account numbers automatically
   • It guarantees correct categories
   • It applies logic to every row instead of rewriting long text that can skip lines
8. What is the advantage of asking the AI for keyword rules instead of only categories?
   • Rules hide merchant names
   • Rules can be reapplied to next month's export for consistent results
   • Rules make the bank categorize for you
   • Rules remove the need to check totals