Heaps MCQsBy: Prof. Dr. Fazal Rehman | Last updated: May 14, 2025 38 Score: 0 Attempted: 0/38 Subscribe 1. : What is a heap in data structures? (A) A complete binary tree that satisfies the heap property (B) A linear data structure (C) A type of binary search tree (D) A non-linear data structure 2. : What are the two types of heaps? (A) Max heap and min heap (B) Binary heap and ternary heap (C) Complete heap and incomplete heap (D) Full heap and empty heap 3. : In a max heap, which property is maintained? (A) The key of a parent node is less than or equal to its children (B) The key of a parent node is greater than or equal to its children (C) All nodes must have two children (D) The tree must be balanced 4. : What is the time complexity for inserting an element into a heap? (A) O(1) (B) O(log n) (C) O(n) (D) O(n log n) 5. : What is the time complexity for removing the maximum element from a max heap? (A) O(1) (B) O(log n) (C) O(n) (D) O(n log n) 6. : What is the main use of a heap? (A) Storing sorted data (B) Implementing priority queues (C) Storing data in a linear format (D) Representing graphs 7. : In a min heap, which property is maintained? (A) The key of a parent node is less than or equal to its children (B) The key of a parent node is greater than or equal to its children (C) The heap is always complete (D) The heap has at least one child 8. : What is the height of a complete binary heap with n nodes? (A) O(1) (B) log(n) (C) O(n) (D) O(n log n) 9. : Which of the following is true about heaps? (A) Heaps are always balanced (B) Heaps can be implemented using arrays (C) Heaps cannot be used to sort data (D) Heaps have a fixed size 10. : What is the process of restoring the heap property after an insertion called? (A) Sifting down (B) Sifting up (C) Balancing (D) Rotating 11. : What is the process of restoring the heap property after a deletion called? (A) Sifting down (B) Sifting up (C) Balancing (D) Rotating 12. : Which data structure can efficiently implement a priority queue? (A) Stack (B) Queue (C) Binary tree (D) Heap 13. : What is the time complexity of heap sort? (A) O(n) (B) O(n log n) (C) O(n^2) (D) O(log n) 14. : What is the primary disadvantage of a binary heap? (A) It is inefficient for searching (B) It requires too much memory (C) It is always unbalanced (D) It cannot be implemented with arrays 15. : What is the primary characteristic of a binary heap? (A) It is a complete binary tree (B) It is a balanced binary tree (C) It is a binary search tree (D) It can have nodes with only one child 16. : What happens to the structure of a heap after extracting the maximum element? (A) It remains the same (B) The last element is moved to the root (C) The heap is destroyed (D) It becomes a binary search tree 17. : Which operation is not typically supported by heaps? (A) Insert (B) Delete (C) Find maximum (D) Find arbitrary element 18. : How are heaps typically represented in memory? (A) Using linked lists (B) Using arrays (C) Using hash tables (D) Using trees 19. : What is the value of the root node in a min heap? (A) The maximum value (B) The minimum value (C) The average value (D) The median value 20. : What is a d-ary heap? (A) A heap with d children per node (B) A type of binary heap (C) A complete binary tree (D) A linear heap 21. : Which of the following is a property of a max heap? (A) The left subtree is larger than the right subtree (B) The parent node is always less than the child nodes (C) The largest element is at the root (D) All leaf nodes are at the same level 22. : In a binary heap, what is the index of the left child of a node at index i? (A) 2i (B) 2i + 1 (C) 2i + 2 (D) i/2 23. : In a binary heap, what is the index of the right child of a node at index i? (A) 2i (B) 2i + 1 (C) 2i + 2 (D) i/2 24. : What is the index of the parent of a node at index i in a binary heap? (A) i/2 (B) (i-1)/2 (C) i + 1 (D) i – 1 25. : What is the purpose of a Fibonacci heap? (A) To improve the performance of the binary heap (B) To store elements in sorted order (C) To provide faster decrease-key operations (D) To maintain a balanced tree 26. : What is a priority queue? (A) A queue that maintains the order of insertion (B) A data structure that retrieves the highest priority element first (C) A stack that allows priority access (D) A regular queue 27. : What happens if you try to insert an element into a full binary heap? (A) It throws an error (B) It overwrites the root element (C) It becomes a min heap (D) It automatically expands 28. : How does a binary heap differ from a binary search tree? (A) Heaps are sorted, while binary search trees are not (B) Heaps allow efficient access to the largest or smallest element (C) Binary search trees have a complete structure, while heaps do not (D) Both structures allow random access 29. : What is the main advantage of using heaps over arrays for priority queues? (A) Heaps require less memory (B) Heaps allow for faster insertions and deletions (C) Heaps are always balanced (D) Heaps are easier to implement 30. : What is the use of a binary heap in the Dijkstra’s algorithm? (A) To store the graph (B) To efficiently retrieve the next node with the smallest distance (C) To keep track of visited nodes (D) To maintain the order of nodes 31. : What is a skew heap? (A) A binary heap that is always complete (B) A binary heap that allows arbitrary structure (C) A self-adjusting heap (D) A balanced binary tree 32. : What operation does the heapify function perform? (A) Constructs a heap from an array (B) Deletes the minimum element (C) Inserts a new element (D) Balances the heap 33. : What is the relationship between heaps and sorting algorithms? (A) Heaps cannot be used for sorting (B) Heaps are used in heap sort (C) Heaps always produce sorted data (D) Heaps require more time than other sorting algorithms 34. : Which type of heap is best suited for implementing a priority queue? (A) Binary heap (B) Ternary heap (C) Fibonacci heap (D) All of the above 35. : What is the impact of deleting the root in a heap? (A) The heap is destroyed (B) The last element is moved to the root and heapify is performed (C) The heap remains unchanged (D) The entire heap must be rebuilt 36. : How does a pair of heaps differ from other heaps? (A) They maintain a balanced structure (B) They allow for fast merging of heaps (C) They are implemented using linked lists (D) They do not support priority queues 37. : What type of data structure can a binary heap be implemented as? (A) Array (B) Linked list (C) Tree (D) All of the above 38. : What is the main disadvantage of a Fibonacci heap? (A) It is difficult to implement (B) It uses too much memory (C) It is less efficient than binary heaps for all operations (D) It cannot be used for priority queues Data Structures MCQs Basic Concepts Introduction to Data Structures Abstract Data Types (ADT) MCQs Complexity Analysis MCQs Time complexity MCQs Space complexity MCQs Big O, Big Ω, Big Θ notations MCQs Linear Data Structures MCQs Arrays MCQs One-dimensional arrays MCQs Multi-dimensional arrays MCQs Operations: traversal, insertion, deletion MCQs Linked Lists MCQs Singly linked list MCQs Doubly linked list MCQs Circular linked list MCQs Stacks MCQs Stack operations (push, pop, peek) MCQs Applications of stacks (expression evaluation, recursion) MCQs Queues MCQs Queue operations (enqueue, dequeue, front, rear) MCQs Types: Simple queue, circular queue, priority queue, deque MCQs Non-Linear Data Structures MCQs Trees MCQs Binary trees MCQs Binary Search Trees (BST) MCQs AVL Trees MCQs B-trees and B+ trees MCQs Tree traversal methods (in-order, pre-order, post-order) MCQs Heaps MCQs Min-heap MCQs Max-heap MCQs Heap operations (insertion, deletion, heapify) MCQs Applications of heaps (priority queues, heap sort) MCQs Graphs MCQs Graph representation (adjacency matrix, adjacency list) MCQs Graph traversal algorithms (DFS, BFS) MCQs Shortest path algorithms (Dijkstra’s, Bellman-Ford) MCQs Minimum Spanning Tree (Kruskal’s, Prim’s) MCQs Hashing MCQs MCQs Hash Tables Hash functions MCQs Collision resolution techniques (chaining, open addressing) MCQs Applications of hashing MCQs Sorting and Searching Algorithms MCQs Sorting Algorithms MCQs Bubble sort MCQs Selection sort MCQs Insertion sort MCQs Merge sort MCQs Quick sort MCQs Heap sort MCQs Searching Algorithms MCQs Linear search MCQs Binary search MCQs Interpolation search MCQs Miscellaneous Memory Management in data structures MCQs Dynamic memory allocation MCQs Garbage collection MCQs String Manipulation Algorithms MCQs Pattern matching (KMP, Rabin-Karp) MCQs String hashing MCQs Data Structures MCQs 1 Data Structures MCQs 2 Data Structures MCQs 3 Data Structures MCQs 4 Data Structures MCQs 5 Stacks Solved MCQs Queues MCQs pointer mcqs Array MCQs Related Posts:Applications of heaps (priority queues, heap sort) MCQsnetworking MCQs, storage solutions, cloud computing MCQs, data center technologies MCQs.Types of contracts (e.g., sales contracts MCQs, employment contracts MCQs)Distributed database architecture MCQs MCQs in DBMSBuilding brand credibility MCQs MCQs in digital marketingAutoCAD Layouts and Viewports MCQs AutoCAD MCQs