Which of the following is NOT a typical application of Binary Search Trees?
Representing a graph data structure
Finding the median of a dataset
Storing and retrieving data in a specific order
Implementing sorted sets and maps
Which data structure is commonly used to efficiently implement priority queues due to the properties of complete binary trees?
Heap
Queue
Linked List
Stack
What is the height of a perfect binary tree with 'n' nodes?
log2(n + 1) - 1
n/2
n - 1
log2(n)
What is the primary advantage of using an iterative approach (with a stack) over recursion for Inorder Traversal?
There is no significant advantage; both approaches have similar performance.
Iterative traversal avoids function call overhead and potential stack overflow for very deep trees.
Iterative traversal is easier to understand and implement.
Iterative traversal is generally faster.
What is the time complexity of calculating the height of a binary tree?
O(n^2)
O(n)
O(log n)
O(1)
When performing a search for a value in a BST, what happens if the value is not found?
An error is raised.
A null pointer or a special value indicating the absence of the value is returned.
The closest value in the BST is returned.
The search continues indefinitely.
What is the advantage of using a level order serialization for a Binary Tree?
More efficient for finding the LCA
Reduced space complexity
Preserves the level order traversal of the tree
Easier to implement than other serialization methods
Inorder Traversal is particularly useful for which of the following applications?
Finding the height of a Binary Tree.
Checking if a Binary Tree is balanced.
Finding the diameter of a Binary Tree.
Printing the nodes of a BST in sorted order.
A full binary tree with 'k' internal nodes has how many total nodes?
2k
k + 1
2k + 1
k
Which data structure is most suitable for efficiently finding a path with a given sum in a Binary Tree?
Hash Set