Heaps — Part 1 MCQs with Explanations

O(log n) is the correct answer to “What is the time complexity of inserting an element into a binary heap”. This question is standard in competitive examination syllabi for Heaps.

The root node is the smallest element, and every parent node is smaller than its children. is the correct answer to “Which of the following is true for a min-heap”. This question is standard in competitive examination syllabi for Heaps.

Every parent node is greater than or equal to its children. is the correct answer to “In a max-heap, which node property is true”. This question is standard in competitive examination syllabi for Heaps.

By performing a heapify operation. is the correct answer to “How do you maintain the heap property after deleting the root node”. This question is standard in competitive examination syllabi for Heaps.

Heap is the correct answer to “Which data structure is commonly used to implement priority queues”. This question is standard in competitive examination syllabi for Heaps.

⌈log2(n + 1)⌉ is the correct answer to “What is the height of a complete binary heap with n nodes”. This question is standard in competitive examination syllabi for Heaps.

Heapify is the correct answer to “What is the primary operation performed when adjusting a heap after insertion or deletion”. This question is standard in competitive examination syllabi for Heaps.

(i - 1) / 2 is the correct answer to “In a binary heap, how is the parent node index calculated from a child node index i”. This question is standard in competitive examination syllabi for Heaps.

O(n) is the correct answer to “What is the time complexity of building a heap from an unsorted array”. This question is standard in competitive examination syllabi for Heaps.

The root node contains the maximum element. is the correct answer to “How do you find the maximum element in a max-heap”. This question is standard in competitive examination syllabi for Heaps.

It provides efficient insertions and deletions. is the correct answer to “What is the main advantage of using a binary heap for implementing a priority queue”. This question is standard in competitive examination syllabi for Heaps.

The heap property is maintained by moving the node up the tree. is the correct answer to “In a min-heap, what happens when you decrease the value of a node”. This question is standard in competitive examination syllabi for Heaps.

Extract-Min is the correct answer to “Which operation is used to extract the minimum element from a min-heap”. This question is standard in competitive examination syllabi for Heaps.

O(log n) is the correct answer to “What is the time complexity of extracting the maximum element from a max-heap”. This question is standard in competitive examination syllabi for Heaps.

For implementing priority queues and heapsort. is the correct answer to “How are heaps commonly used in algorithms”. This question is standard in competitive examination syllabi for Heaps.

Insert is the correct answer to “In a binary heap, which of the following operations is O(log n) in time complexity”. This question is standard in competitive examination syllabi for Heaps.

A binary heap does not maintain a sorted order while a binary search tree does. is the correct answer to “What is the main difference between a binary heap and a binary search tree”. This question is standard in competitive examination syllabi for Heaps.

By performing a heapify operation. is the correct answer to “How do you restore the heap property after extracting the maximum element from a max-heap”. This question is standard in competitive examination syllabi for Heaps.

The root is the largest element. is the correct answer to “Which property does not apply to a min-heap”. This question is standard in competitive examination syllabi for Heaps.

O(log n) is the correct answer to “What is the time complexity of decreasing a key value in a min-heap”. This question is standard in competitive examination syllabi for Heaps.

O(n) is the correct answer to “In a binary heap, what is the typical time complexity of deleting an arbitrary element”. This question is standard in competitive examination syllabi for Heaps.

For implementing priority queues. is the correct answer to “What is the primary use of heaps in graph algorithms”. This question is standard in competitive examination syllabi for Heaps.

(i - 1) / 2 is the correct answer to “How is the parent node index computed in a zero-based indexed binary heap array”. This question is standard in competitive examination syllabi for Heaps.

The heap property is restored by moving the node down. is the correct answer to “What happens if you increase the value of a node in a max-heap”. This question is standard in competitive examination syllabi for Heaps.

Searching for an arbitrary element is the correct answer to “Which of the following operations is not directly supported by a binary heap”. This question is standard in competitive examination syllabi for Heaps.

2 * i + 1 is the correct answer to “In a binary heap represented as an array, what is the index of the left child of the node at index i”. This question is standard in competitive examination syllabi for Heaps.

O(n) is the correct answer to “What is the space complexity of a binary heap when stored in an array”. This question is standard in competitive examination syllabi for Heaps.

Bubble-up or Percolate-up is the correct answer to “Which operation involves moving a node to maintain the heap property after insertion in a binary heap”. This question is standard in competitive examination syllabi for Heaps.

O(log n) is the correct answer to “In a max-heap, what is the time complexity to find the second largest element”. This question is standard in competitive examination syllabi for Heaps.

Min-heap is the correct answer to “What kind of binary heap is used to efficiently support priority queues with the smallest element at the root”. This question is standard in competitive examination syllabi for Heaps.

The elements are not in any specific order. is the correct answer to “What is the result of an inorder traversal of a binary heap”. This question is standard in competitive examination syllabi for Heaps.

AVL heap is the correct answer to “Which of the following is not a type of heap”. This question is standard in competitive examination syllabi for Heaps.

O(n) is the correct answer to “What is the time complexity of building a binary heap using a sequence of insertions”. This question is standard in competitive examination syllabi for Heaps.

To find the minimum element efficiently. is the correct answer to “What is the typical use case for a min-heap in algorithms”. This question is standard in competitive examination syllabi for Heaps.

2 * i + 2 is the correct answer to “In a binary heap, how do you locate the right child of a node at index i”. This question is standard in competitive examination syllabi for Heaps.

They both maintain a complete binary tree. is the correct answer to “Which property is common to both max-heaps and min-heaps”. This question is standard in competitive examination syllabi for Heaps.

O(log n) is the correct answer to “What is the typical time complexity of decreasing a key in a min-heap”. This question is standard in competitive examination syllabi for Heaps.

The heap grows by adding nodes to the end. is the correct answer to “How is the structure of a binary heap affected when you increase the size of the heap”. This question is standard in competitive examination syllabi for Heaps.

(i - 1) / 2 is the correct answer to “In a binary heap stored as an array, what is the index of the parent node for the node at index i”. This question is standard in competitive examination syllabi for Heaps.

O(log n) is the correct answer to “What is the time complexity of extracting the minimum element from a min-heap”. This question is standard in competitive examination syllabi for Heaps.