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

Which algorithms help organizations to solve real world problems?

Data Science Algorithms are used to:

TP (True Positive) means:

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

Accuracy (A) tells us:

AI is mostly used for:

Linear Regression use to show relationship between two things:

AI helps businesses work faster, save money, and:

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

AI and ML helps in:

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

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

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

Linear Regression predicts future values based on:

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

Confusion Matrix used parameters:

Which app recommends videos using ML?

Supervised Learning uses labeled data to:

Which of the following is an example of AI?

When grouped or unlabeled data is arrived, we used?

Which of the following application of AI?

Give data without any label?

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

ML stands for:

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

Choosing algorithm depends upon:

K-Means Clustering algorithm:

Siri & Alexa is a:

Which of the following is an example of AI?

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

Chatbots use AI to:

AI means teaching machines to do tasks that usually require:

ML is defined as:

Todays technology is not about machine, it is about:

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

Which shows how many predictions are correct?

Main goal of AI:

How many types of data science algorithm?

How many types of machine learning?

AI means:

Google Assistant is an example of:

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

Smart assistants like Google Assistant use AI to:

Recommendation systems suggest what you might like based on:

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

Which applications use ML?

Which AI feature is used to help customer service?

What is Machine Learning (ML)?

Weather app predictions are examples of?

Think of an algorithm like:

TN (True Negative) means:

Choosing the right algorithm depends on ____

What is Artificial Intelligence (AI)?

Who Compare its own results with correct results?

Schools, Business app used:

Why business organizations are used AI?

Cheetay uses ML to:

A confusion matrix shows:

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

Machine learning unfair pattern is called:

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

Which of the following reduce Bias?

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

Which of the following provide high accuracy?

Which of the following is an example of unsupervised learning?

To reduce bias in AI, always use:

Machine Learning is:

In supervised learning, the machine is given data with:

A type of variables used in regression:

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

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

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

Bias in AI happens when machines:

Which of the following always need data?

Multiple linear regression helps the computer:

Which type of regression is used to understand complex patterns?

In linear regression graph, y-axis shows:

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

FP (False Positive) means:

Which of the following use chatbots?

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

ChatGPT is a:

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

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

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

NLP is an example of:

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

In linear regression graph, x-axis shows:

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

In unsupervised learning, the machine is given:

In supervised learning, the data is:

As compare to humans AI is:

Unsupervised Learning uses unlabeled data to:

Unsupervised learning is when the machine:

Which of the following is used to make decision?

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

Supervised learning is when the machine is trained using:

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

The formula for Accuracy is: