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. What is the purpose of cookies in web protocols?
A.
Store user preferences
B.
Track sessions
C.
Authenticate users
D.
All of the above
Show solution
Solution
Cookies are used to store user preferences, track sessions, and authenticate users across web applications.
Correct Answer:
D
— All of the above
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Q. What is the purpose of cross-validation in machine learning?
A.
To increase the size of the training dataset
B.
To assess how the results of a statistical analysis will generalize to an independent dataset
C.
To reduce the complexity of the model
D.
To improve the speed of training
Show solution
Solution
Cross-validation is used to assess how well a model generalizes to an independent dataset by partitioning the data into training and validation sets.
Correct Answer:
B
— To assess how the results of a statistical analysis will generalize to an independent dataset
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Q. What is the purpose of cross-validation in model evaluation?
A.
To increase the size of the dataset
B.
To ensure the model is not overfitting
C.
To visualize model performance
D.
To reduce training time
Show solution
Solution
Cross-validation helps ensure that the model is not overfitting by validating it on different subsets of the data.
Correct Answer:
B
— To ensure the model is not overfitting
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Q. What is the purpose of cross-validation in model selection?
A.
To increase the size of the training dataset
B.
To assess how the results of a statistical analysis will generalize to an independent dataset
C.
To reduce overfitting by simplifying the model
D.
To improve the accuracy of the model
Show solution
Solution
Cross-validation helps assess how well a model generalizes to an independent dataset.
Correct Answer:
B
— To assess how the results of a statistical analysis will generalize to an independent dataset
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Q. What is the purpose of cross-validation in supervised learning?
A.
To increase the size of the training dataset
B.
To assess how the results of a statistical analysis will generalize to an independent dataset
C.
To reduce the dimensionality of the dataset
D.
To improve the model's accuracy on the training set
Show solution
Solution
Cross-validation is used to evaluate the generalization ability of a model by partitioning the data into subsets and training/testing multiple times.
Correct Answer:
B
— To assess how the results of a statistical analysis will generalize to an independent dataset
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Q. What is the purpose of cross-validation in the context of linear regression?
A.
To increase the number of features
B.
To assess the model's performance on unseen data
C.
To reduce the training time
D.
To improve the model's accuracy
Show solution
Solution
Cross-validation is used to assess how the results of a statistical analysis will generalize to an independent data set, helping to evaluate model performance.
Correct Answer:
B
— To assess the model's performance on unseen data
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Q. What is the purpose of cross-validation?
A.
To increase the size of the training dataset
B.
To assess how the results of a statistical analysis will generalize to an independent dataset
C.
To reduce the complexity of the model
D.
To improve the interpretability of the model
Show solution
Solution
Cross-validation is used to assess how the results of a statistical analysis will generalize to an independent dataset by partitioning the data.
Correct Answer:
B
— To assess how the results of a statistical analysis will generalize to an independent dataset
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Q. What is the purpose of dropout in neural networks?
A.
To increase the learning rate
B.
To prevent overfitting
C.
To enhance feature extraction
D.
To reduce computational cost
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Solution
Dropout is a regularization technique used to prevent overfitting by randomly dropping units during training.
Correct Answer:
B
— To prevent overfitting
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Q. What is the purpose of error control in data transmission?
A.
To increase transmission speed
B.
To ensure data integrity
C.
To reduce latency
D.
To manage network congestion
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Solution
Error control is used to ensure data integrity by detecting and correcting errors that may occur during transmission.
Correct Answer:
B
— To ensure data integrity
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Q. What is the purpose of feature importance in Random Forests?
A.
To reduce the number of trees.
B.
To identify the most influential features.
C.
To visualize the tree structure.
D.
To increase the model's complexity.
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Solution
Feature importance helps to identify which features have the most influence on the predictions made by the model.
Correct Answer:
B
— To identify the most influential features.
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Q. What is the purpose of feature scaling in machine learning?
A.
To increase the number of features
B.
To improve the performance of the model
C.
To reduce the size of the dataset
D.
To convert categorical data to numerical
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Solution
Feature scaling improves the performance of the model by ensuring that all features contribute equally to the distance calculations.
Correct Answer:
B
— To improve the performance of the model
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Q. What is the purpose of feature selection in model training?
A.
To increase the number of features
B.
To reduce the complexity of the model
C.
To improve the training speed
D.
To ensure all features are used
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Solution
Feature selection aims to select a subset of relevant features to reduce the complexity of the model and improve its performance.
Correct Answer:
B
— To reduce the complexity of the model
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Q. What is the purpose of HTTP headers?
A.
To define the structure of the message
B.
To provide metadata about the request or response
C.
To encrypt the data
D.
To establish a connection
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Solution
HTTP headers are used to provide metadata about the request or response, such as content type and length.
Correct Answer:
B
— To provide metadata about the request or response
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Q. What is the purpose of hyperparameter tuning in model selection?
A.
To adjust the model's architecture
B.
To select the best features
C.
To improve model performance
D.
To visualize results
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Solution
Hyperparameter tuning optimizes the model's parameters to enhance its predictive performance.
Correct Answer:
C
— To improve model performance
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Q. What is the purpose of hyperparameter tuning?
A.
To select the best features
B.
To improve model performance by optimizing parameters
C.
To evaluate model accuracy
D.
To visualize data distributions
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Solution
Hyperparameter tuning aims to improve model performance by optimizing the parameters that govern the learning process.
Correct Answer:
B
— To improve model performance by optimizing parameters
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Q. What is the purpose of intermediate code in a compiler?
A.
To optimize the source code
B.
To provide a platform-independent representation
C.
To perform lexical analysis
D.
To generate machine code
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Solution
Intermediate code serves as a platform-independent representation of the source code, allowing for easier optimization and code generation.
Correct Answer:
B
— To provide a platform-independent representation
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Q. What is the purpose of model selection in machine learning?
A.
To choose the best algorithm for the data
B.
To preprocess the data
C.
To visualize the data
D.
To deploy the model
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Solution
Model selection aims to identify the most suitable algorithm that performs best on the given dataset.
Correct Answer:
A
— To choose the best algorithm for the data
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Q. What is the purpose of model selection?
A.
To improve the accuracy of a single model
B.
To choose the best model from a set of candidates
C.
To reduce the dimensionality of the data
D.
To increase the size of the dataset
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Solution
Model selection aims to choose the best model from a set of candidates based on performance metrics.
Correct Answer:
B
— To choose the best model from a set of candidates
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Q. What is the purpose of monitoring a deployed machine learning model?
A.
To ensure the model is still accurate over time
B.
To collect more training data
C.
To improve the model's architecture
D.
To reduce the model's size
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Solution
Monitoring a deployed machine learning model is essential to ensure that it maintains accuracy and performance over time as data and conditions change.
Correct Answer:
A
— To ensure the model is still accurate over time
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Q. What is the purpose of monitoring a deployed model?
A.
To ensure it is still accurate and performing well
B.
To retrain the model automatically
C.
To visualize data inputs
D.
To reduce model complexity
Show solution
Solution
Monitoring a deployed model is essential to ensure it continues to perform well and remains accurate over time.
Correct Answer:
A
— To ensure it is still accurate and performing well
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Q. What is the purpose of normalization in feature engineering?
A.
To increase the range of feature values
B.
To ensure all features contribute equally to the distance calculations
C.
To reduce the number of features
D.
To eliminate outliers
Show solution
Solution
Normalization adjusts the scale of feature values to ensure that they contribute equally to distance calculations, which is crucial for algorithms sensitive to feature scales.
Correct Answer:
B
— To ensure all features contribute equally to the distance calculations
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Q. What is the purpose of normalization in the context of neural networks?
A.
To increase the number of features
B.
To ensure all input features have similar scales
C.
To reduce the size of the dataset
D.
To improve the model's interpretability
Show solution
Solution
Normalization helps to ensure that all input features contribute equally to the model's learning process by scaling them to a similar range.
Correct Answer:
B
— To ensure all input features have similar scales
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Q. What is the purpose of one-hot encoding in feature engineering?
A.
To normalize numerical features
B.
To convert categorical variables into a numerical format
C.
To reduce dimensionality
D.
To handle missing values
Show solution
Solution
One-hot encoding is used to convert categorical variables into a numerical format, allowing them to be used in machine learning algorithms.
Correct Answer:
B
— To convert categorical variables into a numerical format
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Q. What is the purpose of pruning in Decision Trees?
A.
To increase the depth of the tree
B.
To remove unnecessary branches
C.
To add more features
D.
To improve computational efficiency
Show solution
Solution
Pruning is used to remove unnecessary branches from a Decision Tree to reduce complexity and prevent overfitting.
Correct Answer:
B
— To remove unnecessary branches
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Q. What is the purpose of register allocation in code generation?
A.
To minimize the use of memory
B.
To assign variables to CPU registers
C.
To optimize the execution speed of loops
D.
To eliminate redundant calculations
Show solution
Solution
The purpose of register allocation in code generation is to assign variables to CPU registers to improve execution speed.
Correct Answer:
B
— To assign variables to CPU registers
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Q. What is the purpose of regularization in linear regression?
A.
To increase the number of features
B.
To reduce the risk of overfitting
C.
To improve the interpretability of the model
D.
To ensure normality of residuals
Show solution
Solution
Regularization techniques, such as Lasso and Ridge regression, are used to reduce the risk of overfitting by penalizing large coefficients.
Correct Answer:
B
— To reduce the risk of overfitting
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Q. What is the purpose of regularization in regression models?
A.
To increase the model complexity
B.
To reduce the training time
C.
To prevent overfitting by penalizing large coefficients
D.
To improve the interpretability of the model
Show solution
Solution
Regularization is used in regression models to prevent overfitting by adding a penalty for large coefficients, thus simplifying the model.
Correct Answer:
C
— To prevent overfitting by penalizing large coefficients
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Q. What is the purpose of regularization in supervised learning?
A.
To increase the complexity of the model
B.
To prevent overfitting
C.
To improve training speed
D.
To enhance feature selection
Show solution
Solution
Regularization techniques are used to prevent overfitting by adding a penalty for larger coefficients in the model.
Correct Answer:
B
— To prevent overfitting
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Q. What is the purpose of semantic rules in syntax-directed translation?
A.
To define the syntax of the programming language
B.
To specify the actions to be taken during parsing
C.
To determine the types of variables
D.
To optimize the final machine code
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Solution
Semantic rules specify the actions to be taken during parsing in syntax-directed translation.
Correct Answer:
B
— To specify the actions to be taken during parsing
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Q. What is the purpose of subnetting in IP addressing?
A.
To increase the number of available IP addresses
B.
To improve network performance and security
C.
To simplify routing
D.
To enable NAT
Show solution
Solution
Subnetting divides a larger network into smaller, manageable segments, improving performance and security by limiting broadcast domains.
Correct Answer:
B
— To improve network performance and security
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