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Data Structures and Algorithms Multiple Choice Questions (MCQs) and Answers

Master Data Structures and Algorithms with Practice MCQs. Explore our curated collection of Multiple Choice Questions. Ideal for placement and interview preparation, our questions range from basic to advanced, ensuring comprehensive coverage of Data Structures and Algorithms. Begin your placement preparation journey now!

Q61

Q61 Which traversal method is used to visit nodes in a level-by-level manner from left to right in a tree?

A

Preorder

B

Inorder

C

Postorder

D

Level-order

Q62

Q62 What data structure is best suited for implementing a graph's adjacency list?

A

Array

B

Linked list

C

Hash table

D

Tree

Q63

Q63 In a directed graph, what does an edge from node A to node B represent?

A

A bidirectional relationship

B

A unidirectional relationship from A to B

C

A hierarchical relationship

D

A peer-to-peer relationship

Q64

Q64 What is the property of a balanced binary search tree (BST)?

A

The left and right subtrees' heights differ by at most one

B

Each subtree is a full tree

C

Each subtree is a complete binary tree

D

All leaf nodes are at the same level

Q65

Q65 What is the result of performing an inorder traversal on a binary search tree (BST)?

A

A random permutation of the tree's elements

B

The elements of the tree sorted in descending order

C

The elements of the tree sorted in ascending order

D

The elements in the order they were inserted

Q66

Q66 How do you find the height of a binary tree?

A

By counting the number of left children

B

By counting the number of right children

C

By calculating the maximum depth from the root to any leaf

D

By calculating the total number of nodes

Q67

Q67 In graph theory, how is a weighted edge represented in an adjacency list?

A

As a list of vertex pairs

B

As a list of vertices with associated edge lists

C

As a list of tuples, each containing a vertex and the edge weight

D

As a two-dimensional matrix

Q68

Q68 What algorithm can be used to detect a cycle in a directed graph?

A

Depth-first search (DFS)

B

Breadth-first search (BFS)

C

Kruskal's algorithm

D

Dijkstra's algorithm

Q69

Q69 You implemented a tree but notice that child nodes are not correctly associated with their parents.
What might be the issue?

A

The tree is incorrectly initialized as a graph

B

Child nodes are added to the wrong parent

C

The tree structure does not support hierarchy

D

Nodes are not properly linked

Q70

Q70 A graph's adjacency matrix does not reflect the correct connections between nodes.
What is a possible mistake?

A

The matrix dimensions are incorrect

B

Edges are added to the wrong cells in the matrix

C

The matrix is not updated when edges are added or removed

D

Both B and C

Q71

Q71 In a depth-first search (DFS) implementation for a graph, you find that the algorithm does not visit all nodes.
What could be wrong?

A

The algorithm does not account for disconnected components

B

The starting node is chosen incorrectly

C

The visitation markers are not reset between runs

D

The recursion depth is limited

Q72

Q72 What is the best-case time complexity of QuickSort?

A

O(n log n)

B

O(n)

C

O(log n)

D

O(n^2)

Q73

Q73 Which sorting algorithm is inherently stable?

A

QuickSort

B

HeapSort

C

MergeSort

D

BubbleSort

Q74

Q74 What does "stability" in sorting algorithms refer to?

A

Performance under stress

B

Maintaining relative order of equal elements

C

Minimal memory usage

D

Fastest possible sorting time

Q75

Q75 What is the worst-case time complexity of binary search on a sorted array of n elements?

A

O(1)

B

O(log n)

C

O(n)

D

O(n log n)

Q76

Q76 Which sorting algorithm is most efficient for a dataset with a known, limited range of integer values?

A

QuickSort

B

BubbleSort

C

CountingSort

D

InsertionSort

Q77

Q77 What principle do divide and conquer sorting algorithms utilize?

A

Splitting data into smaller parts and individually sorting them

B

Random element selection

C

Linear traversal

D

Direct element swapping

Q78

Q78 Why is QuickSort generally preferred over MergeSort for sorting arrays in practice?

A

Lower space complexity

B

Faster average sorting times

C

Simpler to implement

D

Stable sorting guaranteed

Q79

Q79 Which line correctly initializes a pivot in QuickSort for an array segment between low and high?

A

int pivot = arr[high];

B

int pivot = arr[(low + high) / 2];

C

int pivot = arr[low];

D

int pivot = high;

Q80

Q80 What technique improves QuickSort's performance on small arrays?

A

Insertion sort hybrid

B

Random pivot selection

C

Decreasing recursion depth

D

Increasing stack size

Q81

Q81 What action does the merge function in MergeSort primarily perform?

A

Splitting the array

B

Sorting the subarrays

C

Merging the sorted subarrays

D

Comparing each element

Q82

Q82 How is a binary search algorithm adapted for a rotated sorted array?

A

Adjust search based on middle element comparison

B

Double the search range every step

C

Search only one half of the array

D

Re-sort the array before searching

Q83

Q83 A developer's InsertionSort algorithm isn't sorting correctly.
What's a common error to check?

A

Misplacing the key element

B

Incorrect index calculation

C

Skipping elements

D

Incorrectly comparing elements

Q84

Q84 In a flawed binary search implementation, the search misses the target.
What's a likely cause?

A

Incorrect middle index calculation

B

Not checking the sorted array's bounds

C

Ignoring the target comparison

D

All conditions are met but still failing

Q85

Q85 QuickSort is causing a stack overflow error.
What's a probable cause?

A

Excessive recursion on large datasets

B

Incorrect pivot selection leading to unbalanced partitions

C

Non-terminating recursive calls

D

All conditions are met but still failing

Q86

Q86 What is a hash table?

A

A data structure that stores key-value pairs in a linear array

B

A data structure that organizes data for quick search, insertion, and deletion based on keys

C

A data structure for storing hierarchical data

D

A data structure that stores data in nodes with a key and multiple values

Q87

Q87 Which of the following is a common use case for a hash table?

A

Implementing a database indexing system

B

Storing preferences of a user in a web application

C

Performing quick searches in a large dataset

D

All of the above

Q88

Q88 What is a collision in a hash table?

A

When two keys have the same value

B

When a hash function returns the same index for different keys

C

When a hash table exceeds its load factor

D

When a key is lost due to overwriting

Q89

Q89 What is the primary challenge in designing a hash function for a hash table?

A

Ensuring it is reversible

B

Minimizing the occurrence of collisions

C

Ensuring it produces a unique output for each input

D

Maximizing the computational complexity

Q90

Q90 Which technique is commonly used to resolve collisions in a hash table?

A

Linear probing

B

Using a binary search tree

C

Doubling the size of the table when full

D

Storing all entries in a single linked list

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