Computer Science & IT

My Learning Cart

Computer Science & IT

Download Q&A

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!

Artificial Intelligence & ML Compiler Design Computer Networks Data Structures & Algorithms Databases Operating Systems Programming & DS Programming Fundamentals Theory of Computation Web Development

Q. In a graph, if you want to check if there is a path between two nodes, which traversal method would be more suitable?

A. BFS
B. DFS
C. Both are equally suitable
D. Neither is suitable

Solution

Both BFS and DFS can be used to check if there is a path between two nodes, but BFS is generally preferred for finding the shortest path.

Correct Answer: C — Both are equally suitable

Q. In a graph, if you want to find the shortest path in an unweighted graph, which traversal method would you use?

A. DFS
B. BFS
C. Dijkstra's Algorithm
D. A* Search

Solution

BFS is used to find the shortest path in an unweighted graph because it explores all nodes at the present depth before moving on.

Correct Answer: B — BFS

Q. In a graph, which traversal method uses a queue data structure?

A. DFS
B. BFS
C. Both DFS and BFS
D. Neither DFS nor BFS

Solution

BFS (Breadth-First Search) uses a queue to keep track of the next vertex to visit.

Correct Answer: B — BFS

Q. In a K-means clustering algorithm, if you have 5 clusters and 100 data points, how many centroids will be initialized?

A. 5
B. 100
C. 50
D. 10

Solution

In K-means clustering, the number of centroids initialized is equal to the number of clusters. Therefore, if there are 5 clusters, 5 centroids will be initialized.

Correct Answer: A — 5

Q. In a level-order traversal, which data structure is typically used to keep track of nodes?

A. Stack
B. Queue
C. Array
D. Linked List

Solution

A queue is used in level-order traversal to keep track of nodes at the current level.

Correct Answer: B — Queue

Q. In a linear regression case study, what does multicollinearity refer to?

A. High correlation between the dependent variable and independent variables
B. High correlation among independent variables
C. Low variance in the dependent variable
D. The presence of outliers in the data

Solution

Multicollinearity refers to a situation where independent variables in a regression model are highly correlated with each other, which can affect the model's estimates.

Correct Answer: B — High correlation among independent variables

Q. In a linear regression model, what does a negative coefficient for an independent variable indicate?

A. A positive relationship with the dependent variable
B. No relationship with the dependent variable
C. A negative relationship with the dependent variable
D. The variable is not significant

Solution

A negative coefficient indicates that as the independent variable increases, the dependent variable tends to decrease.

Correct Answer: C — A negative relationship with the dependent variable

Q. In a linear regression model, what does the slope coefficient represent?

A. The intercept of the regression line
B. The change in the dependent variable for a one-unit change in the independent variable
C. The total variance in the dependent variable
D. The correlation between the independent and dependent variables

Solution

The slope coefficient indicates how much the dependent variable is expected to increase (or decrease) when the independent variable increases by one unit.

Correct Answer: B — The change in the dependent variable for a one-unit change in the independent variable

Q. In a linear regression model, what does the slope of the regression line represent?

A. The predicted value of the dependent variable
B. The change in the dependent variable for a one-unit change in the independent variable
C. The correlation between the independent and dependent variables
D. The intercept of the regression line

Solution

The slope indicates how much the dependent variable is expected to increase or decrease as the independent variable increases by one unit.

Correct Answer: B — The change in the dependent variable for a one-unit change in the independent variable

Q. In a linked list, what is the time complexity of inserting an element at the beginning?

A. O(n)
B. O(log n)
C. O(1)
D. O(n log n)

Solution

Inserting at the beginning of a linked list is a constant time operation, hence O(1).

Correct Answer: C — O(1)

Q. In a multi-class classification problem, which metric can be used to evaluate the model's performance across all classes?

A. Macro F1 Score
B. Mean Squared Error
C. Accuracy
D. Log Loss

Solution

Macro F1 Score calculates the F1 Score for each class independently and then takes the average, providing a balanced evaluation across all classes.

Correct Answer: A — Macro F1 Score

Q. In a multi-class classification problem, which metric can be used to evaluate the performance across all classes?

A. Micro F1 Score
B. Mean Absolute Error
C. Precision
D. Recall

Solution

Micro F1 Score aggregates the contributions of all classes to compute the average metric, suitable for multi-class evaluation.

Correct Answer: A — Micro F1 Score

Q. In a network with a subnet mask of 255.255.255.128, how many hosts can be accommodated?

A. 126
B. 128
C. 254
D. 256

Solution

A subnet mask of 255.255.255.128 corresponds to /25, which allows for 2^(32-25) = 2^7 = 128 total addresses. Subtracting 2 for the network and broadcast addresses leaves 126 usable hosts.

Correct Answer: A — 126

Q. In a neural network, what does the term 'activation function' refer to?

A. A method to initialize weights
B. A function that determines the output of a neuron
C. A technique for data normalization
D. A process for training the model

Solution

The activation function determines the output of a neuron based on its input, playing a crucial role in the network's ability to learn complex patterns.

Correct Answer: B — A function that determines the output of a neuron

Q. In a neural network, what does the term 'backpropagation' refer to?

A. The process of forward propagation of inputs
B. The method of updating weights based on error
C. The initialization of network parameters
D. The evaluation of model performance

Solution

Backpropagation is the algorithm used to update the weights of the network by calculating the gradient of the loss function.

Correct Answer: B — The method of updating weights based on error

Q. In a neural network, what is the purpose of the loss function?

A. To measure the accuracy of predictions
B. To calculate the gradient
C. To evaluate model performance
D. To quantify the difference between predicted and actual values

Solution

The loss function quantifies how well the neural network's predictions match the actual target values.

Correct Answer: D — To quantify the difference between predicted and actual values

Q. In a neural network, what is the purpose of the output layer?

A. To process input data
B. To apply activation functions
C. To produce the final predictions
D. To adjust learning rates

Solution

The output layer generates the final predictions of the neural network based on the processed information from previous layers.

Correct Answer: C — To produce the final predictions

Q. In a priority queue implemented with a binary heap, what is the time complexity of inserting an element?

A. O(1)
B. O(log n)
C. O(n)
D. O(n log n)

Solution

Inserting an element into a priority queue implemented with a binary heap has a time complexity of O(log n) due to the need to maintain the heap property.

Correct Answer: B — O(log n)

Q. In a priority queue implemented with a binary heap, what is the time complexity for inserting an element?

A. O(1)
B. O(log n)
C. O(n)
D. O(n log n)

Solution

Inserting an element into a binary heap takes O(log n) time due to the need to maintain the heap property after the insertion.

Correct Answer: B — O(log n)

Q. In a queue implemented using a linked list, what operation is performed to add an element?

A. Push
B. Enqueue
C. Pop
D. Dequeue

Solution

The operation to add an element to a queue is called 'enqueue'.

Correct Answer: B — Enqueue

Q. In a queue implemented using a linked list, what operation is performed to remove an element?

A. Pop
B. Dequeue
C. Shift
D. Remove

Solution

In a queue, the operation to remove an element is called 'dequeue', which removes the front element.

Correct Answer: B — Dequeue

Q. In a queue implemented using an array, what happens when the array is full?

A. Overflow error
B. Underflow error
C. Elements are overwritten
D. Queue shrinks

Solution

When a queue implemented using an array is full, it results in an overflow error as no more elements can be added.

Correct Answer: A — Overflow error

Q. In a queue implemented using an array, what is the time complexity of enqueue operation in the worst case?

A. O(1)
B. O(n)
C. O(log n)
D. O(n^2)

Solution

In the worst case, if the array is full and needs to be resized, the enqueue operation can take O(n) time.

Correct Answer: B — O(n)

Q. In a queue implemented using two stacks, what is the time complexity of the dequeue operation in the worst case?

A. O(1)
B. O(n)
C. O(log n)
D. O(n log n)

Solution

In the worst case, the dequeue operation may require transferring all elements from one stack to another, resulting in O(n) time complexity.

Correct Answer: B — O(n)

Q. In a queue implemented using two stacks, what is the worst-case time complexity for the dequeue operation?

A. O(1)
B. O(n)
C. O(log n)
D. O(n^2)

Solution

In the worst case, the dequeue operation may require transferring all elements from one stack to another, resulting in a time complexity of O(n).

Correct Answer: B — O(n)

Q. In a queue, what happens when an element is dequeued?

A. It is removed from the front
B. It is removed from the back
C. It is moved to the front
D. It is added to the back

Solution

In a queue, the dequeue operation removes the element from the front, following the FIFO principle.

Correct Answer: A — It is removed from the front

Q. In a queue, what is the time complexity of dequeuing an element?

A. O(1)
B. O(n)
C. O(log n)
D. O(n^2)

Solution

Dequeuing an element from a queue is done in constant time, O(1), when implemented using a linked list.

Correct Answer: A — O(1)

Q. In a queue, what is the time complexity of enqueue operation?

A. O(1)
B. O(n)
C. O(log n)
D. O(n^2)

Solution

The enqueue operation in a queue can be performed in constant time, O(1).

Correct Answer: A — O(1)

Q. In a queue, what operation is used to remove an element?

A. Push
B. Pop
C. Enqueue
D. Dequeue

Solution

The operation used to remove an element from a queue is called 'Dequeue'.

Correct Answer: D — Dequeue

Q. In a queue, which operation is performed in constant time?

A. Enqueue
B. Dequeue
C. Peek
D. All of the above

Solution

All operations (enqueue, dequeue, and peek) can be performed in constant time O(1) in a properly implemented queue.

Correct Answer: D — All of the above

|<
<
6
7
8
9
10
11
12
13
14
>
>|

Showing 271 to 300 of 3237 (108 Pages)

School

College

Degree

Competitve

Skills

Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely