Balanced Trees: AVL and Red-Black Trees - Typical Problems - Advanced Concepts

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Q. How does the insertion operation in an AVL tree differ from that in a Red-Black tree?
  • A. AVL trees require more rotations
  • B. Red-Black trees require more rotations
  • C. Both require the same number of rotations
  • D. Insertion is the same in both
Q. In an AVL tree, what is the maximum height difference between the left and right subtrees of any node?
  • A. 0
  • B. 1
  • C. 2
  • D. 3
Q. What happens to the balance factor of an AVL tree node after a right rotation?
  • A. It increases by 1.
  • B. It decreases by 1.
  • C. It remains the same.
  • D. It becomes zero.
Q. What is the primary reason for using a Red-Black tree over an AVL tree?
  • A. Faster search times
  • B. Faster insertion and deletion times
  • C. Easier implementation
  • D. More memory efficient
Q. What is the worst-case time complexity for deletion in an AVL tree?
  • A. O(n)
  • B. O(log n)
  • C. O(n log n)
  • D. O(1)
Q. Which of the following is true about the balancing of AVL trees?
  • A. They require rotations to maintain balance after insertions and deletions.
  • B. They do not require any balancing.
  • C. They can only be balanced by deleting nodes.
  • D. They are always balanced after every insertion.
Q. Which of the following scenarios would require a right rotation in an AVL tree?
  • A. Left-Left case
  • B. Right-Right case
  • C. Left-Right case
  • D. Right-Left case
Q. Which operation is NOT performed in a Red-Black tree during insertion?
  • A. Coloring the new node red
  • B. Rotating the tree
  • C. Recoloring nodes
  • D. Removing the root node
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