3179. Security: Find users with suspiciously many failed logins in an hour. — Production Debugging

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In a security module, solve this as a production problem using Production Debugging: Find users with suspiciously many failed logins in an hour. Provide the SQL, explain the logic, show safe application integration, and mention failure/edge cases.
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Questions & Answers

Answer & Explanation

4 Answers
Verified

Option A

DELETE FROM table_name;
Additional Explanation
Incorrect: it does not satisfy the stated business rule and can return/change unintended data.
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Editorial Answer 1
Verified Correct Answer

Option B

SELECT user_id,COUNT(*) failures FROM login_attempts WHERE success=0 AND created_at>=CURRENT_TIMESTAMP-INTERVAL 1 HOUR GROUP BY user_id HAVING COUNT(*)>=10;
Additional Explanation
This is a detection query; rate limiting should be enforced closer to the authentication boundary too.
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Editorial Answer 2
Verified

Option C

UPDATE table_name SET status='active';
Additional Explanation
Incorrect: it does not satisfy the stated business rule and can return/change unintended data.
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Editorial Answer 3
Verified

Option D

SELECT * FROM table_name;
Additional Explanation
Incorrect: it does not satisfy the stated business rule and can return/change unintended data.
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Editorial Answer 4