Balanced Trees: AVL and Red-Black Trees - Implementations in C++ - Higher Difficulty Problems

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Q. How do you perform a left rotation on a node in an AVL tree?
  • A. Make the right child the new root of the subtree
  • B. Make the left child the new root of the subtree
  • C. Swap the node with its parent
  • D. No rotation is needed
Q. In a Red-Black Tree, what must be true about the path from any node to its descendant leaves?
  • A. All paths must have the same number of black nodes
  • B. All paths must have the same number of red nodes
  • C. All paths must alternate colors
  • D. All paths must have at least one red node
Q. In an AVL tree, what operation is performed when a node becomes unbalanced after an insertion?
  • A. Rotation
  • B. Traversal
  • C. Deletion
  • D. Rebalancing
Q. What is the main property that distinguishes an AVL tree from a regular binary search tree?
  • A. It is always balanced with a height difference of at most 1
  • B. It allows duplicate values
  • C. It can have any height difference
  • D. It is implemented using linked lists
Q. What is the primary reason for using AVL trees over regular binary search trees?
  • A. Easier implementation
  • B. Faster search times
  • C. Better memory usage
  • D. More balanced structure
Q. What is the time complexity of inserting an element into a Red-Black tree?
  • A. O(log n)
  • B. O(n)
  • C. O(n log n)
  • D. O(1)
Q. What is the time complexity of searching for an element in a balanced AVL tree?
  • A. O(log n)
  • B. O(n)
  • C. O(n log n)
  • D. O(1)
Q. Which of the following properties is true for a Red-Black Tree?
  • A. Every node is either red or black
  • B. The root is always red
  • C. All leaves are red
  • D. Red nodes can have red children
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