How do you handle deadlocks in SQL transactions? Deadlocks occur when two or more transactions are waiting for each other to release locks, causing a cycle of dependencies. To handle deadlocks: ● Deadlock Detection: DBMS systems (e.g., SQL Server) can automatically detect deadlocks and terminate one of the transactions to break the deadlock. ● Retry Logic: If a deadlock is detected, you can implement a retry mechanism in your
Answer: pplication to reattempt the transaction after a short delay. Optimize Transactions: Keep transactions short and ensure that they acquire locks in the same order to reduce the likelihood of deadlocks.
What interviewers expect
- A clear definition tied to SQL in SQL & Databases projects
- Trade-offs (performance, maintainability, security, cost)
- When you would and would not use it in production
Real-world example
In a production SQL & Databases application, teams apply this when handling user-facing features or integration boundaries. For example, you might use it during a sprint where reliability and observability matter—logging metrics, validating edge cases, and documenting the decision in an ADR so future developers understand why the approach was chosen.
How to explain in the interview
- Define the concept in one or two sentences.
- Context — where it fits in SQL & Databases architecture.
- Example — a specific project, bug, or performance win.
- Trade-off — what you gain vs what you sacrifice.
Tip: Practice aloud on Toolliyo mock interview or the Interview Q&A section before your real interview.