Q. In which scenario would you prefer using an AVL tree over a Red-Black tree?
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A.
When frequent insertions and deletions are required.
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B.
When search operations are more frequent than insertions.
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C.
When memory usage is a concern.
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D.
When the tree needs to be unbalanced.
Solution
AVL trees provide faster lookups than Red-Black trees, making them preferable when search operations are more frequent.
Correct Answer:
B
— When search operations are more frequent than insertions.
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Q. What is a real-world application of AVL trees?
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A.
Database indexing
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B.
Memory management
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C.
Network routing
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D.
File compression
Solution
AVL trees are often used in database indexing to maintain sorted data and allow for efficient searching.
Correct Answer:
A
— Database indexing
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Q. Which operation is guaranteed to be O(log n) in both AVL and Red-Black trees?
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A.
Insertion
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B.
Deletion
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C.
Searching
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D.
All of the above
Solution
All of the operations (insertion, deletion, and searching) are guaranteed to be O(log n) in both AVL and Red-Black trees.
Correct Answer:
D
— All of the above
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Q. Which operation is more complex in terms of time for AVL trees compared to Red-Black trees?
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A.
Searching
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B.
Insertion
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C.
Deletion
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D.
Traversal
Solution
Deletion in AVL trees can be more complex due to the need for multiple rotations to maintain balance.
Correct Answer:
C
— Deletion
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