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AI Knowledge Quiz

Total questions: 46

Worksheet time: 23mins

Name
Class
Date
1.

What does AI stand for?

a)

Advanced Interface

b)

Artificial Intelligence

c)

Automated Intelligence

d)

Analytical Information

2.

What ability is essential for a machine to be considered AI?

a)

Flying

b)

Learning and improving on its own

c)

Producing heat

d)

None of the above

3.

Which one of the following is an example of AI in daily life?

a)

Hammer

b)

Flashlight

c)

Face Lock in smartphones

d)

Mechanical Clock

4.

What is Natural Language Processing (NLP)?

a)

Processing natural elements

b)

An AI field focused on understanding and manipulating human language

c)

A system for recognizing human faces

d)

A mechanism for storing data

5.

What is Computer Vision (CV)?

a)

The ability to watch television

b)

A system that enables machines to interpret and understand visual data

c)

A method for improving computer graphics

d)

A part of computer hardware

6.

Which of the following games is based on AI’s understanding of patterns and data?

a)

Rock, Paper, Scissors

b)

Monopoly

c)

Chess

d)

Football

7.

Which of the following is an AI application that uses Computer Vision?

a)

Face recognition in smartphones

b)

Listening to music

c)

Text messaging

d)

Playing video games

8.

What is one purpose of AI in healthcare?

a)

To replace doctors

b)

To assist in the interpretation of medical images

c)

To automate physical therapy

d)

To develop new medications

9.

What is the function of smart assistants like Alexa and Siri?

a)

To answer all mathematical questions

b)

To recognize speech patterns and provide responses

c)

To function as a calculator

d)

To guide physical robots

10.

In AI, what does the term “modelling” refer to?

a)

Designing a physical model

b)

Creating algorithms that can predict outcomes

c)

Drawing pictures

d)

Painting a model

11.

What is the purpose of the AI Project Cycle?

a)

To predict future trends in technology

b)

To guide AI development from problem scoping to deployment

c)

To monitor AI performance after deployment

d)

To collect data from the internet

12.

Which stage in the AI Project Cycle involves gathering data?

a)

Problem Scoping

b)

Data Acquisition

c)

Modelling

d)

Evaluation

13.

What is problem scoping in AI?

a)

Defining the problem that AI is supposed to solve

b)

Testing the AI model

c)

Training data collection

d)

Evaluating AI performance

14.

Which type of AI approach adapts its algorithms based on new data?

a)

Rule-Based AI

b)

Learning-Based AI

c)

Fixed AI

d)

Reactive AI

15.

What does the term “evaluation” mean in AI?

a)

Writing new algorithms

b)

Testing AI models against a dataset to check accuracy

c)

Creating data features

d)

Monitoring users

16.

What is the final stage of the AI Project Cycle?

a)

Problem Scoping

b)

Data Acquisition

c)

Evaluation

d)

Deployment

17.

What is the primary purpose of the Deployment stage in AI?

a)

To collect more data

b)

To make the AI model operational in the real world

c)

To train the model

d)

To test new theories

18.

What is a key benefit of AI in agriculture?

a)

Automating farm machinery

b)

Predicting crop infestations and providing solutions

c)

Monitoring employee productivity

d)

Improving fertilizer composition

19.

Which of these is not a part of the AI Project Cycle?

a)

Modelling

b)

Data Exploration

c)

System Integration

d)

Problem Scoping

20.

What does Data Exploration involve?

a)

Collecting new data

b)

Analyzing collected data to find patterns and trends

c)

Running AI models

d)

Storing data securely

21.

Which AI domain is primarily involved in image recognition?

a)

NLP

b)

Computer Vision

c)

Data Science

d)

Data Engineering

22.

What type of data is used for training an AI model?

a)

Static Data

b)

Live Data

c)

Training Data

d)

Experimental Data

23.

Which of the following is a challenge when using AI for decision-making?

a)

Lack of data

b)

Data bias

c)

Limited hardware

d)

High costs

24.

What is one key feature of a Learning-Based AI model?

a)

It follows static rules

b)

It updates its algorithms with new data

c)

It cannot adapt to new situations

d)

It requires no data input

25.

What should be avoided during the evaluation of an AI model?

a)

Overfitting the model with training data

b)

Testing with unseen data

c)

Testing different algorithms

d)

Improving model accuracy

26.

Why is Data Visualization important in AI?

a)

It makes data collection faster

b)

It helps identify patterns and trends

c)

It adds color to reports

d)

It decreases the need for algorithms

27.

Which of the following is an ethical concern in AI?

a)

AI’s high speed

b)

AI bias

c)

AI memory size

d)

AI’s hardware limitations

28.

What does it mean for AI to follow ethical principles?

a)

It follows laws strictly

b)

It respects human rights, avoids biases, and ensures privacy

c)

It calculates faster than humans

d)

It follows machine learning rules

29.

Which is an example of AI being used for healthcare?

a)

Automated surgery

b)

Analyzing medical images for diagnosis

c)

Cooking food for patients

d)

Arranging hospital beds

30.

Which of the following should be a feature of an AI project?

a)

Random data input

b)

Bias towards certain groups

c)

Fair and unbiased outcomes

d)

Limited data usage

31.

In AI, what is overfitting?

a)

When a model performs well on training data but poorly on new data

b)

When a model learns too slowly

c)

When a model is too large for a dataset

d)

When a model performs well on all datasets

32.

What is the purpose of data acquisition in AI projects?

a)

To collect relevant and reliable data

b)

To analyze existing datasets

c)

To visualize trends in data

d)

To deploy the AI model

33.

Which of the following is an application of AI in education?

a)

Writing books

b)

Personalized learning for students

c)

Building classrooms

d)

Grading manually

34.

Why is privacy a concern in AI development?

a)

AI requires secret codes

b)

AI systems often collect personal data that could be misused

c)

AI is faster than humans

d)

AI does not store data

35.

Which of the following is NOT an AI domain?

a)

Natural Language Processing

b)

Computer Vision

c)

Quantum Mechanics

d)

Data Science

36.

What does bias in AI refer to?

a)

AI working faster than humans

b)

AI producing skewed or unfair outcomes due to biased data

c)

AI learning slower than expected

d)

AI storing data incorrectly

37.

Which one of these is a game that uses AI to understand language?

a)

Quick Draw

b)

Semantris

c)

Tetris

d)

Chess

38.

Which AI domain helps understand and generate human language?

a)

Computer Vision

b)

Data Science

c)

Natural Language Processing

d)

Machine Learning

39.

How is AI used in self-driving cars?

a)

It generates energy

b)

It processes visual data and makes driving decisions

c)

It repairs the engine

d)

It calculates fuel efficiency

40.

Why is data cleaning important in AI projects?

a)

To eliminate unused models

b)

To ensure the data is accurate and consistent

c)

To deploy faster AI systems

d)

To increase AI processing speed

41.

Which of the following is a key ethical issue in AI?

a)

Lack of internet

b)

Transparency and fairness

c)

AI processing speed

d)

Data storage costs

42.

What is the purpose of AI-based fraud detection systems in finance?

a)

To make loans cheaper

b)

To predict and prevent fraudulent activities

c)

To manage customer services

d)

To automate money transfers

43.

Which of the following AI domains involves learning from data to improve over time?

a)

Computer Vision

b)

Deep Learning

c)

Natural Language Processing

d)

Data Mining

44.

What does it mean for an AI model to “learn”?

a)

It memorizes data

b)

It improves its performance using data and experience

c)

It processes large amounts of information

d)

It executes tasks faster than humans

45.

What should you check before using personal data in AI?

a)

If it’s from a private company

b)

If it is publicly available or obtained ethically

c)

If the data is stored in a database

d)

If it was collected automatically

46.

What happens during the “modelling” phase of the AI Project Cycle?

a)

Identifying the problem

b)

Developing and training algorithms to solve the problem

c)

Cleaning data

d)

Visualizing data