Question 1

What is Artificial Intelligence?

Accepted Answer

The ability of machines to simulate human intelligence

Answer

The design of hardware only

Answer

The study of natural intelligence

Answer

None of the above

Question 2

Which of the following is a subset of Artificial Intelligence?

Accepted Answer

Machine Learning

Answer

Computer Networks

Answer

Software Engineering

Answer

Data Science

Question 3

What does Machine Learning allow machines to do?

Accepted Answer

Perform tasks without explicit programming

Answer

Only store data

Answer

Work without electricity

Answer

None of the above

Question 4

Which AI technique uses neural networks to handle large datasets?

Accepted Answer

Deep Learning

Answer

Unsupervised Learning

Answer

Supervised Learning

Answer

Reinforcement Learning

Question 5

What is labelled data?

Accepted Answer

Data with meaningful names or tags

Answer

None of the above

Answer

Data without any structure

Answer

Data related to internet

Question 6

What type of learning uses data that is not labelled?

Accepted Answer

Unsupervised learning

Answer

Reinforcement learning

Answer

Supervised learning

Answer

Deep learning

Question 7

What does a rule-based AI system rely on?

Accepted Answer

Predefined rules created by developers

Answer

Large amounts of data only

Answer

Neural networks

Answer

Random guessing

Question 8

Which of these is an example of Supervised Learning?

Accepted Answer

Image classification with labelled images

Answer

Robot trial and error learning

Answer

None of the above

Answer

Grouping similar documents without labels

Question 9

What type of AI algorithm tries to maximize cumulative rewards through trial anderror?

Accepted Answer

Reinforcement Learning

Answer

Unsupervised Learning

Answer

Rule-based Learning

Answer

Supervised Learning

Question 10

What is the objective of the testing dataset in AI?

Accepted Answer

To evaluate how well the model has learned

Answer

None of the above

Answer

To train the model

Answer

To store data permanently

Question 11

Which AI component involves assigning weights and biases to input features?

Accepted Answer

Artificial Neural Network

Answer

Data Preprocessing

Answer

Data Storage

Answer

Rule-based system

Question 12

A bank chatbot that answers specific user queries based on predefined scripts is an example of?

Accepted Answer

Rule-based AI

Answer

Learning-based AI

Answer

Neural network

Answer

Reinforcement learning

Question 13

In the context of AI, what is 'features'?

Accepted Answer

Columns or attributes in a dataset used for training

Answer

Output predictions

Answer

None of the above

Answer

Rows in a dataset

Question 14

What is the role of a training dataset?

Accepted Answer

To help the model learn patterns

Answer

None of the above

Answer

To evaluate the model

Answer

To store user inputs

Question 15

Which AI approach adapts based on environment interaction and feedback?

Accepted Answer

Reinforcement Learning

Answer

Unsupervised Learning

Answer

Rule-based Systems

Answer

Supervised Learning

Question 16

Which of the following can be used to identify handwritten digits?

Accepted Answer

Deep Learning models

Answer

Rule-based systems

Answer

None of the above

Answer

Statistical algorithms without learning

Question 17

AI can help in which of the following real-world applications?

Accepted Answer

All of the above

Answer

Recommendation systems

Answer

Medical diagnostics

Answer

Autonomous vehicles

Question 18

Machine Learning enables machines to?

Accepted Answer

perform tasks without explicit programming

Answer

None of the above

Answer

store data only

Answer

get manually programmed

Question 19

Which of these is an example of supervised learning?

Accepted Answer

Stock price prediction using labelled data

Answer

Clustering documents without labels

Answer

Robot trial and error learning

Answer

None of the above

Question 20

Scenario: A smartphone app learns your music preferences from songs you like and suggests new tracks. It keeps improving recommendations with more feedback.

What type of AI learning is this?

Accepted Answer

Supervised learning

Answer

Rule-based AI

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 21

Scenario: An autonomous robot cleaner navigates around furniture, learning the best paths to clean a room without human input.

Which AI approach does the robot use?

Accepted Answer

Reinforcement learning

Answer

Supervised learning

Answer

Deep learning

Answer

Rule-based system

Question 22

Scenario: A fraud detection system identifies abnormal transactions without pre-labeled examples of fraud by finding unusual patterns.

What AI technique is applied?

Accepted Answer

Unsupervised learning

Answer

Rule-based AI

Answer

Reinforcement learning

Answer

Supervised learning

Question 23

Scenario: A chatbot responds to customer queries by searching for matching answers written by developers in a fixed script.

What kind of AI is this?

Accepted Answer

Rule-based AI

Answer

Deep learning AI

Answer

Learning-based AI

Answer

Reinforcement learning

Question 24

Scenario: Google Photos automatically tags your pictures by recognizing faces, objects, and locations without anyone manually labelling each photo.

This is an example of?

Accepted Answer

Unsupervised learning

Answer

Rule-based AI

Answer

Reinforcement learning

Answer

Supervised learning

Question 25

Scenario: A weather forecasting model predicts temperature by analyzing historical labelled data of past temperatures.

This is an example of which technique?

Accepted Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Answer

Rule-based system

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