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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

The formula for Accuracy is:

2 / 99

In supervised learning, the data is:

3 / 99

Which of the following is an example of AI?

4 / 99

Which AI feature is used to help customer service?

5 / 99

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

6 / 99

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

7 / 99

Which type of regression is used to understand complex patterns?

8 / 99

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

9 / 99

Who Compare its own results with correct results?

10 / 99

Unsupervised Learning uses unlabeled data to:

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Supervised learning is when the machine is trained using:

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

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

14 / 99

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

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Linear Regression use to show relationship between two things:

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

17 / 99

Which of the following always need data?

18 / 99

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

19 / 99

How many types of data science algorithm?

20 / 99

Unsupervised learning is when the machine:

21 / 99

Todays technology is not about machine, it is about:

22 / 99

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

23 / 99

TP (True Positive) means:

24 / 99

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

25 / 99

Give data without any label?

26 / 99

Cheetay uses ML to:

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

28 / 99

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

29 / 99

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

30 / 99

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

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ML stands for:

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Which of the following application of AI?

33 / 99

In linear regression graph, y-axis shows:

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Weather app predictions are examples of?

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Bias in AI happens when machines:

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Which of the following provide high accuracy?

37 / 99

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

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Data Science Algorithms are used to:

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Why business organizations are used AI?

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Siri & Alexa is a:

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Machine Learning is:

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Which of the following reduce Bias?

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What is Machine Learning (ML)?

44 / 99

Choosing algorithm depends upon:

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Which shows how many predictions are correct?

46 / 99

Recommendation systems suggest what you might like based on:

47 / 99

In supervised learning, the machine is given data with:

48 / 99

Which of the following use chatbots?

49 / 99

To reduce bias in AI, always use:

50 / 99

In unsupervised learning, the machine is given:

51 / 99

Which of the following is used to make decision?

52 / 99

AI means:

53 / 99

AI helps businesses work faster, save money, and:

54 / 99

In linear regression graph, x-axis shows:

55 / 99

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

56 / 99

When grouped or unlabeled data is arrived, we used?

57 / 99

What is Artificial Intelligence (AI)?

58 / 99

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

59 / 99

A type of variables used in regression:

60 / 99

Choosing the right algorithm depends on ____

61 / 99

ChatGPT is a:

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

63 / 99

Which app recommends videos using ML?

64 / 99

NLP is an example of:

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Supervised Learning uses labeled data to:

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Confusion Matrix used parameters:

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ML is defined as:

68 / 99

Schools, Business app used:

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Main goal of AI:

70 / 99

Which of the following is an example of unsupervised learning?

71 / 99

Which applications use ML?

72 / 99

As compare to humans AI is:

73 / 99

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

74 / 99

Chatbots use AI to:

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A confusion matrix shows:

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Accuracy (A) tells us:

77 / 99

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

78 / 99

AI is mostly used for:

79 / 99

Linear Regression predicts future values based on:

80 / 99

TN (True Negative) means:

81 / 99

Smart assistants like Google Assistant use AI to:

82 / 99

AI and ML helps in:

83 / 99

How many types of machine learning?

84 / 99

AI means teaching machines to do tasks that usually require:

85 / 99

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

86 / 99

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

87 / 99

Which of the following is an example of AI?

88 / 99

Machine learning unfair pattern is called:

89 / 99

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

90 / 99

FP (False Positive) means:

91 / 99

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

92 / 99

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

93 / 99

Which algorithms help organizations to solve real world problems?

94 / 99

K-Means Clustering algorithm:

95 / 99

Multiple linear regression helps the computer:

96 / 99

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

97 / 99

Think of an algorithm like:

98 / 99

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

99 / 99

Google Assistant is an example of:

Your score is

The average score is 1%

0%

 

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

 

 
Select other Chapter from Class 10 Computer Science & Entrepreneurship 2026 

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