Computer Science & IT MCQ & Objective Questions
Computer Science & IT is a crucial subject for students preparing for school and competitive exams in India. Mastering this field not only enhances your understanding of technology but also significantly boosts your exam scores. Practicing MCQs and objective questions is an effective way to reinforce your knowledge and identify important questions that frequently appear in exams.
What You Will Practise Here
Fundamentals of Computer Science
Data Structures and Algorithms
Operating Systems Concepts
Networking Basics and Protocols
Database Management Systems
Software Engineering Principles
Programming Languages Overview
Exam Relevance
Computer Science & IT is an integral part of the curriculum for CBSE, State Boards, and competitive exams like NEET and JEE. Questions often focus on theoretical concepts, practical applications, and problem-solving skills. Common patterns include multiple-choice questions that test your understanding of key concepts, definitions, and the ability to apply knowledge in various scenarios.
Common Mistakes Students Make
Confusing similar concepts in data structures, such as arrays and linked lists.
Overlooking the importance of algorithms and their time complexities.
Misunderstanding the functions and roles of different operating system components.
Neglecting to practice coding problems, leading to difficulty in programming questions.
Failing to grasp the fundamentals of networking, which can lead to errors in related MCQs.
FAQs
Question: What are the best ways to prepare for Computer Science & IT exams?Answer: Regular practice of MCQs, understanding key concepts, and reviewing past exam papers are effective strategies.
Question: How can I improve my problem-solving skills in Computer Science?Answer: Engage in coding exercises, participate in study groups, and tackle a variety of practice questions.
Start your journey towards mastering Computer Science & IT today! Solve our practice MCQs to test your understanding and enhance your exam preparation. Remember, consistent practice is the key to success!
Q. In a singly linked list, how do you find the middle element?
A.
Traverse the list twice
B.
Use two pointers
C.
Count elements first
D.
Use a stack
Show solution
Solution
Using two pointers, where one moves twice as fast as the other, allows you to find the middle element in O(n) time.
Correct Answer:
B
— Use two pointers
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Q. In a singly linked list, how do you insert a new node at the beginning?
A.
Create a new node and point it to the head
B.
Point the head to the new node
C.
Insert at the end
D.
None of the above
Show solution
Solution
To insert a new node at the beginning, create a new node and set its next pointer to the current head.
Correct Answer:
A
— Create a new node and point it to the head
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Q. In a singly linked list, how do you reverse the list?
A.
Swap elements
B.
Use a stack
C.
Iterate and change pointers
D.
Use recursion
Show solution
Solution
To reverse a singly linked list, you can iterate through the list and change the next pointers of each node.
Correct Answer:
C
— Iterate and change pointers
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Q. In a singly linked list, what is the time complexity of inserting a new node at the beginning?
A.
O(1)
B.
O(n)
C.
O(log n)
D.
O(n^2)
Show solution
Solution
Inserting a new node at the beginning of a singly linked list is done in constant time, O(1).
Correct Answer:
A
— O(1)
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Q. In a singly linked list, what is the time complexity to insert an element at the beginning?
A.
O(1)
B.
O(n)
C.
O(log n)
D.
O(n^2)
Show solution
Solution
Inserting an element at the beginning of a singly linked list is done by adjusting the head pointer, which takes constant time, O(1).
Correct Answer:
A
— O(1)
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Q. In a stack implemented using an array, what happens when you try to push an element onto a full stack?
A.
The element is added
B.
The stack overflows
C.
The stack shrinks
D.
The element is ignored
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Solution
Pushing onto a full stack results in a stack overflow error, as there is no space to add more elements.
Correct Answer:
B
— The stack overflows
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Q. In a stack implemented using an array, what is the time complexity of the push operation?
A.
O(1)
B.
O(n)
C.
O(log n)
D.
O(n^2)
Show solution
Solution
The push operation in a stack implemented with an array is O(1) as it adds an element to the top of the stack.
Correct Answer:
A
— O(1)
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Q. In a stack, what happens when you try to pop an element from an empty stack?
A.
Returns null
B.
Throws an exception
C.
Returns 0
D.
Does nothing
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Solution
Popping from an empty stack typically throws an exception to indicate that the operation cannot be performed.
Correct Answer:
B
— Throws an exception
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Q. In a stack, what is the result of the operation 'push(5)', followed by 'push(10)', and then 'pop()'?
A.
5
B.
10
C.
Both 5 and 10
D.
Stack is empty
Show solution
Solution
The 'pop()' operation will return 10, as it is the last element pushed onto the stack.
Correct Answer:
B
— 10
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Q. In a stack, what is the time complexity of accessing the top element?
A.
O(1)
B.
O(n)
C.
O(log n)
D.
O(n^2)
Show solution
Solution
Accessing the top element of a stack is done in constant time, O(1), as it simply involves returning the last added element.
Correct Answer:
A
— O(1)
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Q. In a stack, what is the time complexity of checking if it is empty?
A.
O(1)
B.
O(n)
C.
O(log n)
D.
O(n^2)
Show solution
Solution
Checking if a stack is empty is done in constant time, O(1), as it only requires checking the size or the top pointer.
Correct Answer:
A
— O(1)
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Q. In a stack, what is the time complexity of the 'top' operation?
A.
O(1)
B.
O(n)
C.
O(log n)
D.
O(n^2)
Show solution
Solution
The 'top' operation in a stack, which retrieves the top element without removing it, has a time complexity of O(1).
Correct Answer:
A
— O(1)
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Q. In a stack, what is the time complexity of the pop operation when implemented using a dynamic array?
A.
O(1)
B.
O(n)
C.
O(log n)
D.
O(n^2)
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Solution
The pop operation in a stack implemented using a dynamic array takes O(1) time, as it simply removes the top element.
Correct Answer:
A
— O(1)
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Q. In a stack, what will be the output of popping an element from an empty stack?
A.
Null
B.
Error
C.
0
D.
Undefined
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Solution
Popping an element from an empty stack typically results in an error, as there are no elements to remove.
Correct Answer:
B
— Error
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Q. In a stack, what will be the result of popping an element from an empty stack?
A.
Return null
B.
Throw an exception
C.
Return 0
D.
Return -1
Show solution
Solution
Popping an element from an empty stack typically throws an exception, indicating that the operation cannot be performed.
Correct Answer:
B
— Throw an exception
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Q. In a stack, which operation is performed in constant time?
A.
Push
B.
Pop
C.
Peek
D.
All of the above
Show solution
Solution
All operations (Push, Pop, and Peek) in a stack are performed in constant time, O(1).
Correct Answer:
D
— All of the above
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Q. In a stack, which operation is performed last?
A.
Push
B.
Pop
C.
Peek
D.
None of the above
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Solution
In a stack, the last operation performed is Pop, which removes the most recently added element.
Correct Answer:
B
— Pop
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Q. In a stack, which operation is used to remove the top element?
A.
Enqueue
B.
Dequeue
C.
Push
D.
Pop
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Solution
The operation used to remove the top element from a stack is called 'Pop'.
Correct Answer:
D
— Pop
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Q. In a subnet mask of 255.255.255.0, how many usable IP addresses are available?
A.
254
B.
256
C.
512
D.
1024
Show solution
Solution
A subnet mask of 255.255.255.0 allows for 256 total addresses, but 2 are reserved (network and broadcast), leaving 254 usable addresses.
Correct Answer:
A
— 254
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Q. In a subnet mask of 255.255.255.192, how many subnets can be created from a Class C network?
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Solution
The subnet mask 255.255.255.192 corresponds to /26, which allows for 2^(26-24) = 4 subnets from a Class C network.
Correct Answer:
B
— 4
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Q. In a subnet with a subnet mask of 255.255.255.248, how many usable IP addresses are there?
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Solution
A subnet mask of 255.255.255.248 allows for 2^3 - 2 = 6 usable IP addresses.
Correct Answer:
B
— 6
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Q. In a supervised learning context, what is cross-validation used for?
A.
To increase the size of the training dataset
B.
To evaluate the model's performance on unseen data
C.
To reduce the dimensionality of the dataset
D.
To cluster the data points
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Solution
Cross-validation is used to evaluate the model's performance on unseen data by partitioning the dataset into training and validation sets.
Correct Answer:
B
— To evaluate the model's performance on unseen data
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Q. In a switched network, what is the primary function of a switch?
A.
To route packets between different networks
B.
To connect devices within the same network
C.
To provide a firewall
D.
To manage bandwidth
Show solution
Solution
A switch connects devices within the same network and forwards data based on MAC addresses.
Correct Answer:
B
— To connect devices within the same network
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Q. In a tree structure, which traversal method is typically used for searching?
A.
BFS
B.
DFS
C.
Both BFS and DFS
D.
Neither BFS nor DFS
Show solution
Solution
Both BFS and DFS can be used for searching in a tree structure, depending on the specific requirements.
Correct Answer:
C
— Both BFS and DFS
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Q. In a tree, which traversal method is equivalent to a level order traversal?
A.
DFS
B.
BFS
C.
In-order
D.
Pre-order
Show solution
Solution
Level order traversal of a tree is equivalent to BFS, as it visits nodes level by level.
Correct Answer:
B
— BFS
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Q. In a weighted graph, if all edge weights are equal, which algorithm can be used to find the shortest path?
A.
Dijkstra's algorithm
B.
Breadth-First Search
C.
Depth-First Search
D.
A* algorithm
Show solution
Solution
If all edge weights are equal, Dijkstra's algorithm is still applicable, but Breadth-First Search (BFS) can also be used to find the shortest path.
Correct Answer:
B
— Breadth-First Search
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Q. In a weighted graph, if all edge weights are equal, which algorithm can be used instead of Dijkstra's?
A.
Depth-First Search
B.
Breadth-First Search
C.
A* Search
D.
Bellman-Ford Algorithm
Show solution
Solution
If all edge weights are equal, Breadth-First Search can be used to find the shortest path, as it explores all neighbors at the present depth prior to moving on.
Correct Answer:
B
— Breadth-First Search
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Q. In an AVL tree, what is the balance factor of a node?
A.
Height of left subtree - height of right subtree
B.
Height of right subtree - height of left subtree
C.
Number of nodes in left subtree - number of nodes in right subtree
D.
Height of the node itself
Show solution
Solution
The balance factor of a node in an AVL tree is defined as the height of the left subtree minus the height of the right subtree.
Correct Answer:
A
— Height of left subtree - height of right subtree
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Q. In an AVL tree, what is the maximum height difference allowed between the left and right subtrees?
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Solution
An AVL tree allows a maximum height difference of 1 between the left and right subtrees.
Correct Answer:
B
— 2
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Q. In an AVL tree, what is the maximum height difference between the left and right subtrees of any node?
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Solution
In an AVL tree, the height difference (balance factor) between the left and right subtrees of any node must be at most 1 to maintain balance.
Correct Answer:
B
— 1
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