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Class 10 Computer Science Chapter 6 Full Chapter MCQs PDF Free Download | New Syllabus 2026

Class 10 Computer Science Chapter 6 Full Chapter MCQs are now available with complete solutions for students following the Computer Science and Entrepreneurship New Syllabus 2026 for Punjab Boards. This chapter-wise MCQs material is designed to help Class 10 students revise important concepts, practice exam-style multiple-choice questions, and prepare effectively for their Punjab Board Computer Science examinations. Students can practice the complete chapter MCQs with correct answers and use the free PDF download for offline preparation, revision, and school tests. These solved MCQs provide an easy and convenient way to strengthen your preparation for the Class 10 Computer Science examination.

10CSE Chapter 6 Complete Chapter MCQs

Complete Chapter MCQs

1 / 99

Chatbots use AI to:

2 / 99

If the system is grouping without given answers, it is:

3 / 99

K-Means Clustering algorithm:

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Think of an algorithm like:

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Linear Regression predicts future values based on:

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A chatbot on JazzCash is an example of: Overview / Smart Systems MCQs

7 / 99

Which shows how many predictions are correct?

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Which of the following is an example of AI?

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Which of the following is the main goal of ML? (Analytical / Conceptual)

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Which of the following is an example of unsupervised learning in school? (Analytical / Conceptual)

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Think of AI as the brain, and ML as the:

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Which of the following help to market product in better way?

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If the app makes suggestions, understands your voice, answers you, or learns your habits, it uses:

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To reduce bias in AI, always use:

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When a system Learn from data and make decisions, it is called:

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Unsupervised Learning uses unlabeled data to:

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Cheetay uses ML to:

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AI means:

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Which of the following is the correct definition of AI? (Analytical / Conceptual)

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In unsupervised learning, the machine is given:

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Data Science Algorithms are used to:

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Think of Supervised Learning as learning with a teacher, and Unsupervised Learning as:

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Which of the following provide high accuracy?

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AI helps businesses work faster, save money, and:

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AI is the broader concept of machines acting smart, while ML is when machines:

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Which of the following is an example of AI?

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Decision Trees use a tree-like model to make decisions based on:

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ML is defined as:

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How many types of machine learning?

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Who Compare its own results with correct results?

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Supervised learning is when the machine is trained using:

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Linear Regression use to show relationship between two things:

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Unsupervised learning is when the machine:

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Recommendation systems suggest what you might like based on:

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Which of the following is the purpose of a confusion matrix? (Analytical / Conceptual)

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Todays technology is not about machine, it is about:

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In supervised learning, the data is:

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Which applications use ML?

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Give data without any label?

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Which of the following is an example of Machine Learning? (Analytical / Conceptual)

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Simple linear regression uses how many independent variable(s) to predict one outcome?

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Which of the following does AI always need to learn? (Analytical / Conceptual)

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If an AI powered system makes a wrong decision, the responsibility lies with:

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Google Assistant is an example of:

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In the present digital era, what are smart systems able to do?

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Which of the following always need data?

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Which of the following is an example of supervised learning? (Analytical / Conceptual)

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Machine learning unfair pattern is called:

49 / 99

Which of the following is an example of unsupervised learning?

50 / 99

How do machines trained with data perform tasks compared to a human brain? (Analytical / Conceptual)

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Bias in AI happens when machines:

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In linear regression graph, y-axis shows:

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How many types of data science algorithm?

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Which app recommends videos using ML?

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TN (True Negative) means:

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What is Machine Learning (ML)?

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AI and ML helps in:

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As compare to humans AI is:

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In supervised learning, the machine is given data with:

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Why business organizations are used AI?

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FP (False Positive) means:

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In linear regression graph, x-axis shows:

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Which type of regression is used to understand complex patterns?

64 / 99

Smart assistants like Google Assistant use AI to:

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Machine Learning is:

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Which of the following application of AI?

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AI means teaching machines to do tasks that usually require:

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The formula for Accuracy is:

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AI is mostly used for:

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Supervised Learning uses labeled data to:

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ML stands for:

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Confusion Matrix used parameters:

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Multiple linear regression helps the computer:

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Chatbots used by banks like HBL and JazzCash are an example of:

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Which of the following reduce Bias?

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Model predicted Pass, and the student was pass in actual as well: Exercise Questions (Solved)

77 / 99

When grouped or unlabeled data is arrived, we used?

78 / 99

Schools, Business app used:

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Which AI feature is used to help customer service?

80 / 99

Predicting student test scores from study hours is an example of:

81 / 99

Which of the following is not an example of Smart system?

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Main goal of AI:

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Choosing the right algorithm depends on ____

84 / 99

If TP=7, TN=5, FP=2, FN=1, the accuracy of the model is:

85 / 99

A confusion matrix shows:

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ChatGPT is a:

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Siri & Alexa is a:

88 / 99

Which of the following is used to make decision?

89 / 99

A type of variables used in regression:

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What is Artificial Intelligence (AI)?

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Weather app predictions are examples of?

92 / 99

NLP is an example of:

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TP (True Positive) means:

94 / 99

Accuracy (A) tells us:

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Which algorithms help organizations to solve real world problems?

96 / 99

Which of the following is an example of a recommendation system? (Analytical / Conceptual)

97 / 99

Which of the following use chatbots?

98 / 99

Choosing algorithm depends upon:

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Which algorithm would you use to group customers based on shopping behavior? (Analytical / Conceptual)

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Computer Science and Entrepreneurship 10th Class New Syllabus 2026 MCQs with Answers

 
Chapter 6 Introduction to AI and Machine Learning
[Tech ICT Group (Chapter 5) and Simple Computer Science Group]

6.1 Overview of AI and ML

6.2 Machine Learning Types

6.3 Practical Applications of AI and ML

6.4 Supervised and Unsupervised Algorithm

6.5 Evaluating Model Performance

Complete Exercise Solution

Complete Chapter MCQs

 

 
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