MCQ

Class 10 Computer chapter 5 Complete Chapter Solutions PDF download

Prepare for Punjab Board exams with Class 10 Computer Chapter 5 Complete Chapter MCQs Solutions PDF Download | Data Science. This chapter covers important concepts from Introduction to Data Science, including data validation, data interpretation, data visualization, databases, and storing data. Students can practice these Class 10 Computer Chapter 5 MCQs with answers online and download the complete solved MCQs PDF for effective exam preparation.

10CSE Chapter 6 Complete Chapter MCQs

Complete Chapter MCQs

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K-Means Clustering algorithm:

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NLP is an example of:

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Bias in AI happens when machines:

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Data Science Algorithms are used to:

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Chatbots use AI to:

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Recommendation systems suggest what you might like based on:

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

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

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AI is mostly used for:

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

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Which type of regression is used to understand complex patterns?

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What is Artificial Intelligence (AI)?

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Cheetay uses ML to:

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How many types of machine learning?

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How many types of data science algorithm?

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

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

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The formula for Accuracy is:

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

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In supervised learning, the data is:

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TN (True Negative) means:

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Which shows how many predictions are correct?

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What is Machine Learning (ML)?

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

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

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AI means teaching machines to do tasks that usually require:

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Give data without any label?

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Confusion Matrix used parameters:

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

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Unsupervised learning is when the machine:

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Why business organizations are used AI?

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Accuracy (A) tells us:

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ML is defined as:

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Machine learning unfair pattern is called:

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Which of the following application of AI?

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Choosing algorithm depends upon:

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

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Which of the following is an example of AI?

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

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Which algorithms help organizations to solve real world problems?

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Which applications use ML?

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Linear Regression use to show relationship between two things:

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ML stands for:

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Machine Learning is:

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Which app recommends videos using ML?

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When grouped or unlabeled data is arrived, we used?

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FP (False Positive) means:

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In linear regression graph, x-axis shows:

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Weather app predictions are examples of?

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Which of the following provide high accuracy?

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Siri & Alexa is a:

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In linear regression graph, y-axis shows:

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A confusion matrix shows:

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

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Linear Regression predicts future values based on:

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Who Compare its own results with correct results?

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

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A type of variables used in regression:

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Supervised Learning uses labeled data to:

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Todays technology is not about machine, it is about:

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To reduce bias in AI, always use:

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Which of the following is used to make decision?

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Google Assistant is an example of:

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AI helps businesses work faster, save money, and:

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Multiple linear regression helps the computer:

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Unsupervised Learning uses unlabeled data to:

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AI means:

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Main goal of AI:

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AI and ML helps in:

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

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

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

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

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

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As compare to humans AI is:

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

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

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Which of the following is an example of AI?

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

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Choosing the right algorithm depends on ____

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

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In supervised learning, the machine is given data with:

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Which of the following reduce Bias?

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Which AI feature is used to help customer service?

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In unsupervised learning, the machine is given:

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

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Smart assistants like Google Assistant use AI to:

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

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

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

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Which of the following always need data?

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Think of an algorithm like:

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Which of the following use chatbots?

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

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TP (True Positive) means:

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Schools, Business app used:

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ChatGPT is a:

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Which of the following is an example of unsupervised learning?

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Supervised learning is when the machine is trained using:

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

 

Chapter 5 Data Science
[Tech ICT Group (Chapter 4) and Simple Computer Science Group]

5.1 Introduction to Data Science

5.2 Overview of the Data Science Life Cycle

5.3 Tools for Visualization

5.4 Databases and Storing Data

Complete Exercise Solution

Complete Chapter MCQs

 

Select other Chapter from Class 10 Computer Science & Entrepreneurship 2026 

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