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

AI helps businesses work faster, save money, and:

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

When grouped or unlabeled data is arrived, we used?

Which of the following use chatbots?

Unsupervised Learning uses unlabeled data to:

Siri & Alexa is a:

Confusion Matrix used parameters:

Which of the following is used to make decision?

Which AI feature is used to help customer service?

In supervised learning, the machine is given data with:

In linear regression graph, x-axis shows:

In supervised learning, the data is:

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

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

TP (True Positive) means:

Accuracy (A) tells us:

Linear Regression use to show relationship between two things:

AI means:

Weather app predictions are examples of?

Main goal of AI:

ML stands for:

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

AI is mostly used for:

A type of variables used in regression:

Supervised Learning uses labeled data to:

Bias in AI happens when machines:

Multiple linear regression helps the computer:

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

What is Artificial Intelligence (AI)?

Unsupervised learning is when the machine:

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

Cheetay uses ML to:

K-Means Clustering algorithm:

Recommendation systems suggest what you might like based on:

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

Which of the following application of AI?

FP (False Positive) means:

Give data without any label?

Linear Regression predicts future values based on:

Machine Learning is:

TN (True Negative) means:

A confusion matrix shows:

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

In linear regression graph, y-axis shows:

How many types of data science algorithm?

Chatbots use AI to:

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

The formula for Accuracy is:

Which of the following is an example of unsupervised learning?

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

Which of the following reduce Bias?

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

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

NLP is an example of:

Which applications use ML?

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

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

Who Compare its own results with correct results?

To reduce bias in AI, always use:

Why business organizations are used AI?

Todays technology is not about machine, it is about:

ChatGPT is a:

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

Schools, Business app used:

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

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

Google Assistant is an example of:

In unsupervised learning, the machine is given:

Which of the following is an example of AI?

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

Machine learning unfair pattern is called:

Choosing the right algorithm depends on ____

Which of the following provide high accuracy?

Smart assistants like Google Assistant use AI to:

Which of the following is an example of AI?

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

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

Which type of regression is used to understand complex patterns?

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

How many types of machine learning?

ML is defined as:

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

Which algorithms help organizations to solve real world problems?

Which app recommends videos using ML?

Which of the following always need data?

As compare to humans AI is:

What is Machine Learning (ML)?

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

Choosing algorithm depends upon:

Think of an algorithm like:

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

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

Supervised learning is when the machine is trained using:

AI means teaching machines to do tasks that usually require:

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

Data Science Algorithms are used to:

Which shows how many predictions are correct?

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

AI and ML helps in: