Balanced Trees: AVL and Red-Black Trees - Case Studies

Download Q&A
Q. How do AVL trees maintain balance after insertion?
  • A. By performing rotations.
  • B. By deleting nodes.
  • C. By increasing the height of the tree.
  • D. By changing node colors.
Q. How does an AVL tree maintain balance after insertion?
  • A. By performing rotations.
  • B. By deleting nodes.
  • C. By increasing the height.
  • D. By changing colors.
Q. In a Red-Black tree, what color is the root node?
  • A. Red
  • B. Black
  • C. Green
  • D. Blue
Q. What is the primary advantage of using AVL trees over Red-Black trees?
  • A. Faster search times.
  • B. Easier implementation.
  • C. Less memory usage.
  • D. More flexible balancing.
Q. Which operation is more complex in a Red-Black tree compared to an AVL tree?
  • A. Insertion
  • B. Deletion
  • C. Searching
  • D. Traversal
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