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

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Q. In a Red-Black tree, what property ensures that the tree remains approximately balanced?
  • A. Every node is either red or black
  • B. The root is always black
  • C. Every red node must have two black children
  • D. All leaves are black
Q. What is a common use case for Red-Black trees in computer science?
  • A. Memory management
  • B. Network routing
  • C. Implementing associative arrays
  • D. File system management
Q. What is a significant advantage of Red-Black trees over AVL trees?
  • A. Faster search times
  • B. Less strict balancing
  • C. Easier implementation
  • D. More memory usage
Q. Which of the following is a key application of AVL trees?
  • A. Implementing a priority queue
  • B. Database indexing
  • C. Graph traversal
  • D. Sorting algorithms
Q. Which of the following statements is true about Red-Black trees?
  • A. They are always perfectly balanced
  • B. They can have a height of up to 2*log(n+1)
  • C. They require more memory than AVL trees
  • D. They are not suitable for dynamic datasets
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