Artificial Intelligence Quizzes for Year 12 ICT Students

Question 1

Which type of AI can learn from experience and adapt its actions to enhance performance?

Accepted Answer

Machine Learning

Answer

Reactive Machines

Answer

Limited Memory

Answer

Theory of Mind

Question 2

Which of the following is **not** a type of machine learning?

Accepted Answer

Content-Based Filtering

Answer

Supervised Learning

Answer

Unsupervised Learning

Answer

Semi-Supervised Learning

Question 3

In unsupervised reinforcement learning, which type of method does not require a model of the environment?

Accepted Answer

Model-free

Answer

Value-based

Answer

Policy-based

Answer

Model-based

Question 4

In machine learning, which technique involves using a model trained on a different task to solve a new problem?

Accepted Answer

Transfer learning

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 5

Which of these is not a subfield of Artificial Intelligence?

Accepted Answer

Quantum Computing

Answer

Machine Learning

Answer

Computer Vision

Answer

Natural Language Processing

Question 6

Which area of artificial intelligence allows computers to understand and generate human language?

Accepted Answer

Natural Language Processing

Answer

Machine Learning

Answer

Computer Vision

Answer

Robotics

Question 7

Which of these is NOT a common type of machine learning?

Accepted Answer

Deductive learning

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 8

Which of the following is NOT a type of machine learning where a model is trained to make predictions based on labeled data?

Accepted Answer

Clustering

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 9

What sets artificial intelligence apart from traditional computer systems?

Accepted Answer

Capacity for learning and adaptation

Answer

Processing vast data volumes

Answer

Performing repetitive tasks with precision

Answer

Executing mathematical computations

Question 10

Which type of machine learning does not require labeled data for training?

Accepted Answer

Unsupervised learning

Answer

Supervised learning

Answer

Reinforcement learning

Answer

Active learning

Question 11

Which of the following is NOT a type of machine learning?

Accepted Answer

Regression analysis

Answer

Unsupervised learning

Answer

Reinforcement learning

Answer

Semi-supervised learning

Question 12

In unsupervised learning, which of these is a technique used to group similar data points together?

Accepted Answer

Clustering

Answer

Active Learning

Answer

Decision trees

Answer

Dimensionality reduction

Question 13

Which of the following algorithms does NOT involve training a model?

Accepted Answer

Rule-based learning

Answer

Supervised learning

Answer

Unsupervised learning

Question 14

In machine learning, which task focuses on predicting a number from labeled data?

Accepted Answer

Regression

Answer

Clustering

Answer

Dimensionality reduction

Question 15

Which type of machine learning involves training a model through interactions with its environment, where the model receives rewards for making correct decisions?

Accepted Answer

Reinforcement learning

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Transfer learning

Question 16

Which of the following applications is outside the scope of artificial intelligence (AI) in healthcare?

Accepted Answer

Managing customer relationships

Answer

Automated early detection of diseases

Answer

Customized treatment plans for patients

Answer

Accelerated drug discovery and development

Question 17

What is the widely accepted definition of artificial intelligence (AI)?

Accepted Answer

The ability of computers to perform tasks that usually require human intelligence.

Answer

A limited field restricted to executing pre-programmed tasks without learning or adaptation.

Answer

The inevitable and complete replacement of human roles by AI systems in the future.

Answer

A serious threat to human civilization that should be banned from development and use.

Question 18

In machine learning, which approach trains a model using a dataset of labeled data?

Accepted Answer

Supervised learning

Answer

Unsupervised learning

Answer

Semi-supervised learning

Answer

Reinforcement learning

Question 19

Which of the following is not a type of machine learning algorithm used in Artificial Intelligence?

Accepted Answer

Clustering

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 20

Which task is NOT within the capabilities of natural language processing (NLP) systems?

Accepted Answer

Recognizing objects in images

Answer

Creating text that resembles human speech

Answer

Translating text between languages

Question 21

Which early application of artificial intelligence focused primarily on processing and understanding natural language?

Accepted Answer

Translating natural languages

Answer

Playing chess

Answer

Solving complex mathematical equations

Answer

Predicting weather patterns

Question 22

Which of the following is NOT a widely used deep learning neural network architecture?

Accepted Answer

Radial Basis Function Network (RBFN)

Answer

Convolutional Neural Network (CNN)

Answer

Recurrent Neural Network (RNN)

Answer

Transformer Neural Network

Question 23

Which of the following is not a type of machine learning commonly used in AI applications?

Accepted Answer

Rote learning

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 24

What is the main difference between supervised and unsupervised learning?

Accepted Answer

Supervised learning uses labeled data, while unsupervised learning does not.

Answer

Supervised learning is used for classification problems, while unsupervised learning is used for regression problems.

Answer

Supervised learning algorithms are typically more accurate than unsupervised learning algorithms.

Answer

Supervised learning is used to solve more complex problems than unsupervised learning.

Question 25

Which type of robot locomotion is specifically designed to allow robots to navigate irregular or uneven terrain?

Accepted Answer

Legged

Answer

Wheeled

Answer

Tracked

Answer

Aerial

Question 26

Which type of machine learning trains a model to identify patterns in data without requiring explicit labeling?

Accepted Answer

Unsupervised learning

Answer

Supervised learning

Answer

Reinforcement learning

Answer

Semi-supervised learning

Question 27

Which of the following is NOT a key ethical consideration in the development and use of AI systems?

Accepted Answer

Environmental sustainability

Answer

Privacy and data protection

Answer

Bias and discrimination

Answer

Economic impact and job displacement

Question 28

What is a limitation of current AI systems?

Accepted Answer

AI systems can be costly and time-consuming to develop.

Answer

AI systems can solve any problem without human intervention.

Answer

AI systems are always unbiased and fair.

Answer

AI systems can fully understand and interpret human emotions.

Question 29

Which of the following is NOT a traditional machine learning approach?

Accepted Answer

Transfer learning

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 30

How will AI potentially impact the future of work, considering both job displacement and the emergence of new job roles?

Accepted Answer

AI will transform work, causing both job displacement and new role creation, requiring workers to adapt and learn new skills.

Answer

AI will lead to widespread job losses, with no new roles created to compensate.

Answer

New AI-powered roles will fully offset job losses, ensuring a stable job market.

Answer

AI's impact on the job market will be negligible, with no significant job losses or new roles created.

Question 31

In a smart building, how can reinforcement learning be used to enhance energy efficiency?

Accepted Answer

By monitoring energy usage patterns and adjusting settings to optimize consumption.

Answer

By predicting future energy consumption based on historical data.

Answer

By using natural language processing to communicate with occupants about energy usage.

Answer

By detecting and isolating faulty appliances that consume excessive energy.

Question 32

Which of the following is NOT a method used for representing knowledge in AI systems?

Accepted Answer

Linear regression

Answer

Semantic networks

Answer

First-order logic

Answer

Production rules

Question 33

How can AI enhance education? Consider its benefits in personalized learning, adaptive assessments, and virtual assistants.

Accepted Answer

AI can personalize learning, tailor assessments, and provide virtual assistance.

Answer

AI will replace teachers in the future.

Answer

AI is not suitable for education due to potential bias.

Answer

AI should only be used for administrative tasks in education.

Question 34

Evaluate the potential benefits and drawbacks of using Natural Language Processing (NLP) in healthcare. Consider its impact on patient care, operational efficiency, and privacy.

Accepted Answer

Enhanced patient care through personalized treatment plans and improved communication with healthcare providers.

Accepted Answer

Increased operational efficiency by automating administrative tasks and improving diagnostic accuracy.

Accepted Answer

Potential privacy concerns due to the processing of sensitive patient data.

Answer

Limited adoption in healthcare due to technical constraints and a shortage of qualified professionals.

Question 35

What is the primary objective of natural language processing in AI?

Accepted Answer

To enable computers to analyze, understand, and generate human language.

Answer

To replicate human speech patterns accurately.

Answer

To translate text between different languages.

Answer

To develop chatbot systems exclusively.

Question 36

Which type of algorithm is commonly employed for image recognition tasks in AI?

Accepted Answer

Convolutional neural network

Answer

Linear regression

Answer

Random forest

Answer

Support vector machine

Question 37

Which of the following examples represents a deep learning model?

Accepted Answer

Recurrent neural network

Answer

Logistic regression

Answer

Decision tree

Answer

Naive Bayes

Question 38

Which of the following is not considered a core concept of Artificial Intelligence?

Accepted Answer

Cybernetics

Answer

Machine Learning

Answer

Natural Language Processing

Answer

Computer Vision

Question 39

What is the primary objective of Natural Language Processing (NLP)?

Accepted Answer

Empowering computers to comprehend and produce human language

Answer

Analyzing large datasets to extract insights

Answer

Creating computer models to replicate human cognition

Answer

Identifying and categorizing objects in visual media

Question 40

Which of the following techniques is commonly associated with supervised machine learning?

Accepted Answer

Linear Regression

Answer

Clustering

Answer

Principal Component Analysis

Answer

Markov Decision Processes

Question 41

What is the primary function of computer vision in AI?

Accepted Answer

Allowing computers to visually perceive and interpret information

Answer

Facilitating communication between computers

Answer

Predicting future events based on historical data

Answer

Optimizing decision-making processes

Question 42

What is the primary purpose of natural language processing (NLP)?

Accepted Answer

To allow computers to comprehend and generate human-like language

Answer

To enhance search engine performance

Answer

To create virtual assistants

Answer

To analyze data from social media

Question 43

What is the ultimate goal of artificial intelligence?

Accepted Answer

To develop systems capable of tasks usually requiring human intelligence

Answer

To replace humans in the workforce

Answer

To solve intricate scientific problems

Answer

To improve the quality of life

Question 44

What is the primary objective of natural language processing (NLP)?

Accepted Answer

To enable computers to derive meaning from human language

Answer

To create software that can engage in human-like conversations

Answer

To develop algorithms for automatic text generation

Answer

To translate text between different languages

Question 45

Which type of machine learning involves training a model using labeled data?

Accepted Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Answer

Generative learning

Question 46

What is the purpose of a convolutional neural network (CNN)?

Accepted Answer

To identify patterns in images

Answer

To predict future occurrences based on historical data

Answer

To generate text or speech from scratch

Answer

To conduct complex mathematical operations

Question 47

What is the term for the process of training a machine learning model?

Accepted Answer

Fitting

Answer

Calibration

Answer

Evaluation

Answer

Deployment

Question 48

What is the role of reinforcement learning in AI systems?

Accepted Answer

To learn through interactions with the environment

Answer

To extract patterns from large datasets

Answer

To generate novel solutions to problems

Answer

To understand and process natural language

Question 49

Which of the following is NOT a core branch of Artificial Intelligence (AI)?

Accepted Answer

Blockchain Technology

Answer

Machine Learning

Answer

Natural Language Processing

Answer

Computer Vision

Question 50

Which of the following techniques is commonly used in Machine Learning to automatically identify hidden patterns and relationships in data?

Accepted Answer

Clustering

Answer

Regression

Answer

Bayesian Inference

Answer

Quantum Computing

Question 51

What is the process of transforming unstructured textual data into a structured, machine-readable format known as?

Accepted Answer

Text Mining

Answer

Natural Language Generation

Answer

Natural Language Understanding

Answer

Machine Translation

Question 52

Which AI technique focuses on teaching computers to identify and interpret objects and scenes within digital images and videos?

Accepted Answer

Computer Vision

Answer

Speech Recognition

Answer

Natural Language Processing

Answer

Robotics

Question 53

What is the primary goal of supervised Machine Learning?

Accepted Answer

To make accurate predictions based on labeled training data

Answer

To identify patterns within unlabeled data

Answer

To generate entirely new data

Answer

To directly control external systems based on sensor inputs

Question 54

Why are regularization techniques employed in Machine Learning algorithms?

Accepted Answer

To prevent overfitting and improve generalization

Answer

To increase accuracy on unseen data

Answer

To reduce training time and resource requirements

Answer

To increase model interpretability

Question 55

What is the ethical principle that prioritizes creating AI systems designed to benefit and support humanity?

Accepted Answer

Beneficence

Answer

Non-Maleficence

Answer

Autonomy

Answer

Justice

Question 56

Which of the following is NOT a recognized type of machine learning?

Accepted Answer

Supernatural learning

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 57

Which algorithm is commonly utilized for natural language processing tasks?

Accepted Answer

Word2Vec

Answer

Logistic regression

Answer

Naive Bayes

Answer

k-Nearest Neighbors

Question 58

What is the primary purpose of a convolutional neural network (CNN)?

Accepted Answer

Processing images and recognizing patterns within them

Answer

Analyzing sequential data

Answer

Generating text and natural language

Answer

Making predictions based on historical data

Question 59

In the context of AI development, what is the significance of data?

Accepted Answer

Training and evaluating machine learning models

Answer

Providing insights and supporting decision-making

Answer

Creating new algorithms and improving existing ones

Answer

Generating synthetic data for training purposes

Question 60

How can artificial intelligence (AI) affect our privacy and data security?

Accepted Answer

AI can improve data security by detecting threats in real time.

Answer

AI can reduce privacy risks by always getting permission before collecting data.

Answer

AI has no effect on privacy or data security.

Answer

AI can protect privacy by making all collected data anonymous.

Question 61

Which regulatory approach to Artificial Intelligence (AI) emphasizes ethical principles and best practices in its development and application?

Accepted Answer

Principle-based approach

Answer

Risk-based approach

Answer

Industry-specific approach

Answer

Reactive approach

Question 62

How can AI empower human creativity and innovation?

Accepted Answer

Automating repetitive tasks, freeing up minds for creative pursuits.

Accepted Answer

Providing new tools and techniques to inspire ideas and expand possibilities.

Answer

Eliminating the need for human input, allowing AI to generate innovative outcomes independently.

Answer

Guaranteeing successful creative outcomes, removing uncertainty and risk from the process.

Question 63

Identify the type of artificial intelligence (AI) that does not exist.

Accepted Answer

Biological AI

Answer

Narrow AI

Answer

General AI

Answer

Super AI

Question 64

Which Natural Language Processing (NLP) technique extracts structured data from unstructured text?

Accepted Answer

Named Entity Recognition

Answer

Text Summarization

Answer

Machine Translation

Answer

Chatbots