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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. What type of learning does a Decision Tree primarily use?

A. Unsupervised Learning
B. Reinforcement Learning
C. Supervised Learning
D. Semi-supervised Learning

Solution

Decision Trees primarily use Supervised Learning, where the model is trained on labeled data.

Correct Answer: C — Supervised Learning

Q. What type of learning does Support Vector Machines primarily utilize?

A. Unsupervised learning
B. Reinforcement learning
C. Supervised learning
D. Semi-supervised learning

Solution

Support Vector Machines are a supervised learning algorithm, as they require labeled training data to learn the decision boundary.

Correct Answer: C — Supervised learning

Q. What type of learning does SVM primarily fall under?

A. Supervised learning
B. Unsupervised learning
C. Reinforcement learning
D. Semi-supervised learning

Solution

SVM is a supervised learning algorithm, as it requires labeled data for training.

Correct Answer: A — Supervised learning

Q. What type of learning does SVM primarily utilize?

A. Supervised learning
B. Unsupervised learning
C. Reinforcement learning
D. Semi-supervised learning

Solution

SVM is a supervised learning algorithm used for classification and regression tasks.

Correct Answer: A — Supervised learning

Q. What type of learning is primarily supported by cloud ML services for predictive analytics?

A. Unsupervised learning
B. Reinforcement learning
C. Supervised learning
D. Semi-supervised learning

Solution

Cloud ML services typically support supervised learning for predictive analytics, where models are trained on labeled data.

Correct Answer: C — Supervised learning

Q. What type of learning is typically used in cloud ML services for predictive analytics?

A. Unsupervised learning
B. Reinforcement learning
C. Supervised learning
D. Semi-supervised learning

Solution

Supervised learning is commonly used in cloud ML services for tasks like predictive analytics, where labeled data is available.

Correct Answer: C — Supervised learning

Q. What type of problem is predicting house prices based on features like size and location?

A. Classification
B. Regression
C. Clustering
D. Dimensionality Reduction

Solution

Predicting house prices is a regression problem, as it involves predicting a continuous numerical value based on input features.

Correct Answer: B — Regression

Q. What type of supervised learning problem is predicting house prices?

A. Classification
B. Regression
C. Clustering
D. Dimensionality Reduction

Solution

Predicting house prices is a regression problem because it involves predicting a continuous numerical value.

Correct Answer: B — Regression

Q. What type of supervised learning task is predicting house prices?

A. Classification
B. Clustering
C. Regression
D. Dimensionality Reduction

Solution

Predicting house prices is a regression task, as it involves predicting a continuous numerical value.

Correct Answer: C — Regression

Q. What type of supervised learning task is used to predict categorical outcomes?

A. Regression
B. Classification
C. Clustering
D. Dimensionality Reduction

Solution

Classification is the type of supervised learning task used to predict categorical outcomes.

Correct Answer: B — Classification

Q. What type of supervised learning would you use to predict whether a patient has a disease based on their symptoms?

A. Regression
B. Clustering
C. Classification
D. Dimensionality Reduction

Solution

Classification is used to predict whether a patient has a disease based on their symptoms, as it involves categorizing outcomes.

Correct Answer: C — Classification

Q. What type of transmission media uses light to transmit data?

A. Coaxial Cable
B. Twisted Pair Cable
C. Fiber Optic Cable
D. Wireless

Solution

Fiber Optic Cable uses light to transmit data, allowing for high-speed and long-distance communication.

Correct Answer: C — Fiber Optic Cable

Q. What will be the output of binary search if the target element is not present in the array?

A. Index of the closest element
B. -1
C. 0
D. Length of the array

Solution

If the target element is not found, binary search typically returns -1 to indicate absence.

Correct Answer: B — -1

Q. What will be the output of binary search if the target value is not present in the array?

A. The index of the closest value
B. The index of the first element
C. The index of the last element
D. -1

Solution

If the target value is not found, binary search typically returns -1 to indicate absence.

Correct Answer: D — -1

Q. What will be the output of the binary search function if the target is not found?

A. The index of the closest element
B. The index of the target
C. -1
D. 0

Solution

Typically, binary search returns -1 if the target value is not found in the array.

Correct Answer: C — -1

Q. What will be the output of the following code: 'for i in range(3): print(i)'?

A. 0 1 2
B. 1 2 3
C. 0 1 2 3
D. 3

Solution

The loop iterates from 0 to 2, so the output will be '0 1 2'.

Correct Answer: A — 0 1 2

Q. What will be the output of the following Python code: arr = [1, 2, 3, 4, 5]; binary_search(arr, 3)?

A. 0
B. 1
C. 2
D. 3

Solution

The binary search will return the index of the element '3', which is 2.

Correct Answer: C — 2

Q. What will be the result of a binary search for the value 10 in the array [1, 2, 3, 4, 5, 6, 7, 8, 9]?

A. Found
B. Not Found
C. Error
D. Undefined

Solution

The value 10 is not present in the array, so the result will be 'Not Found'.

Correct Answer: B — Not Found

Q. What will be the result of a binary search if the target element is not present in the array?

A. Returns the index of the closest element
B. Returns -1
C. Returns the index of the last element
D. Returns the index of the first element

Solution

If the target element is not found, binary search typically returns -1 to indicate absence.

Correct Answer: B — Returns -1

Q. What will be the result of a binary search if the target value is not present in the array?

A. The index of the closest value
B. The index of the target value
C. A negative value or -1
D. An error message

Solution

If the target value is not found, binary search typically returns -1 to indicate absence.

Correct Answer: C — A negative value or -1

Q. What will be the result of binary search if the target element is not present in the array?

A. Returns the index of the closest element
B. Returns -1
C. Returns the size of the array
D. Returns the first element

Solution

If the target element is not found, binary search typically returns -1 to indicate absence.

Correct Answer: B — Returns -1

Q. What will be the result of binary search if the target value is not present in the array?

A. Returns the index of the closest value
B. Returns -1
C. Returns the index of the last element
D. Returns the index of the first element

Solution

If the target value is not found, binary search typically returns -1 to indicate absence.

Correct Answer: B — Returns -1

Q. What will be the return value of binary search if the element is not found?

A. -1
B. 0
C. 1
D. n

Solution

Typically, binary search returns -1 to indicate that the element was not found in the array.

Correct Answer: A — -1

Q. What will happen if Dijkstra's algorithm is run on a graph with negative weight edges?

A. It will still find the shortest path.
B. It may produce incorrect results.
C. It will terminate with an error.
D. It will only work for the first negative edge.

Solution

Dijkstra's algorithm may produce incorrect results if there are negative weight edges in the graph.

Correct Answer: B — It may produce incorrect results.

Q. When implementing a queue using two stacks, what is the average time complexity for enqueue operations?

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

Solution

The average time complexity for enqueue operations in a queue implemented using two stacks is O(1), as most operations do not require transferring elements.

Correct Answer: A — O(1)

Q. When inserting a node into an AVL tree, what must be checked after insertion?

A. If the tree is a complete binary tree.
B. If the tree remains balanced.
C. If the node is a leaf.
D. If the node is red or black.

Solution

After inserting a node into an AVL tree, it is crucial to check if the tree remains balanced and perform rotations if necessary.

Correct Answer: B — If the tree remains balanced.

Q. When using a stack to reverse a string, what is the time complexity of the entire operation?

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

Solution

Reversing a string using a stack involves pushing each character onto the stack and then popping them off, resulting in a time complexity of O(n).

Correct Answer: B — O(n)

Q. Which activation function is commonly used in CNNs?

A. Sigmoid
B. Tanh
C. ReLU
D. Softmax

Solution

ReLU (Rectified Linear Unit) is commonly used in CNNs due to its ability to introduce non-linearity while being computationally efficient.

Correct Answer: C — ReLU

Q. Which addressing scheme is used in the Internet Protocol (IP)?

A. MAC Addressing
B. Logical Addressing
C. Physical Addressing
D. Session Addressing

Solution

Logical Addressing is used in the Internet Protocol (IP) to identify devices on a network uniquely.

Correct Answer: B — Logical Addressing

Q. Which addressing scheme is used in the Network Layer of the OSI model?

A. MAC Addressing
B. IP Addressing
C. Port Addressing
D. Session Addressing

Solution

IP Addressing is used in the Network Layer (Layer 3) of the OSI model to identify devices on a network.

Correct Answer: B — IP Addressing

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