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

AI and ML helps in:

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

AI means teaching machines to do tasks that usually require:

Confusion Matrix used parameters:

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

Which of the following is an example of unsupervised learning?

Cheetay uses ML to:

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

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

When grouped or unlabeled data is arrived, we used?

Google Assistant is an example of:

Which algorithms help organizations to solve real world problems?

NLP is an example of:

TN (True Negative) means:

Linear Regression use to show relationship between two things:

Choosing the right algorithm depends on ____

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

Why business organizations are used AI?

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

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

What is Artificial Intelligence (AI)?

As compare to humans AI is:

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

Which type of regression is used to understand complex patterns?

Which of the following always need data?

Which app recommends videos using ML?

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

In linear regression graph, y-axis shows:

FP (False Positive) means:

Which of the following is an example of AI?

Choosing algorithm depends upon:

Which applications use ML?

Data Science Algorithms are used to:

Which AI feature is used to help customer service?

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

Todays technology is not about machine, it is about:

Who Compare its own results with correct results?

The formula for Accuracy is:

In linear regression graph, x-axis shows:

AI is mostly used for:

In supervised learning, the machine is given data with:

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

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

A confusion matrix shows:

Machine Learning is:

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

Bias in AI happens when machines:

Think of an algorithm like:

Unsupervised learning is when the machine:

Unsupervised Learning uses unlabeled data to:

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

Smart assistants like Google Assistant use AI to:

Linear Regression predicts future values based on:

Which of the following provide high accuracy?

In unsupervised learning, the machine is given:

ChatGPT is a:

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

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

Supervised learning is when the machine is trained using:

Which of the following is an example of AI?

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

Accuracy (A) tells us:

ML is defined as:

Which of the following is used to make decision?

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

ML stands for:

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

K-Means Clustering algorithm:

AI means:

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

A type of variables used in regression:

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

Supervised Learning uses labeled data to:

Multiple linear regression helps the computer:

Which of the following use chatbots?

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

How many types of machine learning?

Recommendation systems suggest what you might like based on:

Which of the following application of AI?

Give data without any label?

Machine learning unfair pattern is called:

What is Machine Learning (ML)?

Main goal of AI:

Which shows how many predictions are correct?

Weather app predictions are examples of?

Chatbots use AI to:

How many types of data science algorithm?

Which of the following reduce Bias?

Siri & Alexa is a:

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

In supervised learning, the data is:

AI helps businesses work faster, save money, and:

Schools, Business app used:

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

TP (True Positive) means:

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

To reduce bias in AI, always use:

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

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