3998. Fraud detection: Find orders with unusually high value compared with a customer's historical average. — Architecture

DBMS Published 30 Sept 2026 Updated 30 Sept 2026 0 Views Verified

In a fraud detection module, solve this as a production problem using Architecture: Find orders with unusually high value compared with a customer's historical average. Provide the SQL, explain the logic, show safe application integration, and mention failure/edge cases.

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Answer & Explanation

4 Answers

Verified

Option A

SELECT * FROM table_name;

Additional Explanation

Incorrect: it does not satisfy the stated business rule and can return/change unintended data.

Verified Correct Answer

Option B

SELECT o.* FROM orders o WHERE o.total_amount>(SELECT AVG(o2.total_amount)*3 FROM orders o2 WHERE o2.customer_id=o.customer_id AND o2.id<>o.id);

Additional Explanation

This is a simple anomaly rule; production fraud models require more features and careful false-positive handling.

Verified

Option C

DELETE FROM table_name;

Additional Explanation

Incorrect: it does not satisfy the stated business rule and can return/change unintended data.

Verified

Option D

UPDATE table_name SET status='active';

Additional Explanation

Incorrect: it does not satisfy the stated business rule and can return/change unintended data.