Deadlocks in SQL occur when two or more transactions wait indefinitely for each other to release locks. This quiz covers how to detect, prevent, and resolve deadlocks in relational databases.
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Which component is responsible for detecting deadlocks in most RDBMS systems?
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Question 3 of 15
3. Question
What typically happens when a deadlock is detected?
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Question 4 of 15
4. Question
What is the best way to prevent deadlocks in application code?
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Question 5 of 15
5. Question
Which SQL isolation level is more prone to deadlocks?
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Question 6 of 15
6. Question
Which of the following is NOT a cause of deadlock?
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Question 7 of 15
7. Question
What is “deadlock victim” in SQL Server?
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Question 8 of 15
8. Question
Which of the following can reduce deadlocks?
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Question 9 of 15
9. Question
Which of the following options best describes “wait-for graph”?
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Question 10 of 15
10. Question
Which command is useful in Oracle to manually detect deadlocks?
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Question 11 of 15
11. Question
In SQL Server, what trace flag helps identify deadlocks?
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Question 12 of 15
12. Question
What is the most effective way to handle deadlocks programmatically?
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Question 13 of 15
13. Question
Which statement about deadlocks is FALSE?
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Question 14 of 15
14. Question
Which action by a developer can help reduce chances of deadlock?
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Question 15 of 15
15. Question
Which SQL keyword allows setting a custom timeout for waiting on a lock?
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Summary
Understanding deadlock handling in SQL is vital for ensuring transaction integrity and system stability. This quiz on SQL deadlock handling explores causes, detection, prevention strategies, and best practices for resolving deadlocks in database systems.
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