Types of AI and ML: Learn the Basics of Artificial Intelligence and Machine Learning

Question 1

Which type of AI is designed to perform a specific task and cannot operate beyond that domain?

Accepted Answer

Narrow AI

Answer

General AI

Answer

Weak AI

Answer

Strong AI

Question 2

Explain the key difference in the approaches used by Naive Bayes and Support Vector Machine (SVM) algorithms for supervised learning classification tasks.

Accepted Answer

Naive Bayes uses a probabilistic approach, while SVM employs a geometric approach to classification.

Answer

Both algorithms use geometric methods for classification.

Answer

SVM is faster than Naive Bayes for large datasets.

Question 3

Which type of AI possesses limited capabilities and can only perform specific, predefined tasks?

Accepted Answer

Narrow AI

Answer

Reinforcement learning

Answer

General AI

Answer

Supervised learning

Question 4

Which type of AI enables computers to learn from data and improve their performance without explicit programming?

Accepted Answer

Machine learning

Answer

Natural language processing

Answer

Robotics

Answer

Computer vision

Question 5

Which type of machine learning algorithm utilizes labeled data to learn patterns and make predictions?

Accepted Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Answer

Generative learning

Question 6

Which type of machine learning algorithm explores unlabeled data to identify hidden patterns and structures?

Accepted Answer

Unsupervised learning

Answer

Generative learning

Answer

Supervised learning

Answer

Reinforcement learning

Question 7

Which type of machine learning algorithm learns through interactions with its environment, receiving rewards or punishments to optimize actions?

Accepted Answer

Reinforcement learning

Answer

Generative learning

Answer

Unsupervised learning

Answer

Supervised learning

Question 8

Which type of AI application interprets and responds to human language in a meaningful way?

Accepted Answer

Natural language processing

Answer

Computer vision

Answer

Expert systems

Answer

Robotics

Question 9

Which type of AI application analyzes large datasets to uncover hidden insights and patterns?

Accepted Answer

Big data analytics

Answer

Computer vision

Answer

Expert systems

Answer

Natural language processing

Question 10

Which type of AI application creates immersive virtual representations of physical environments?

Accepted Answer

Virtual reality

Answer

Robotics

Answer

Natural language processing

Answer

Expert systems

Question 11

Which type of AI application controls physical devices and systems in the real world?

Accepted Answer

Robotics

Answer

Expert systems

Answer

Natural language processing

Answer

Computer vision

Question 12

Which type of AI application provides personalized recommendations based on user preferences?

Accepted Answer

Recommender systems

Answer

Robotics

Answer

Expert systems

Answer

Natural language processing

Question 13

Which type of AI is specifically designed to perform a limited set of tasks?

Accepted Answer

Narrow AI

Answer

Reinforcement learning

Answer

General AI

Answer

Supervised learning

Question 14

Which type of AI can learn and improve its performance without explicit programming?

Accepted Answer

Machine learning

Answer

Neural networks

Answer

Symbolic AI

Answer

Narrow AI

Question 15

Which type of machine learning involves training a model on labeled data to predict outcomes?

Accepted Answer

Supervised learning

Answer

Reinforcement learning

Answer

Unsupervised learning

Answer

Transfer learning

Question 16

Which type of machine learning involves training a model to make decisions based on rewards and punishments?

Accepted Answer

Reinforcement learning

Answer

Supervised learning

Answer

Transfer learning

Answer

Unsupervised learning

Question 17

What is a key advantage of utilizing narrow AI systems?

Accepted Answer

High accuracy in executing specific tasks

Answer

Low cost of implementation

Answer

Flexibility in handling diverse tasks

Answer

Ability to solve complex problems

Question 18

Which of the following is NOT a limitation of general AI systems?

Accepted Answer

Possession of creativity

Answer

Difficulty in handling complex problems

Answer

Bias towards certain datasets

Answer

High computational cost

Question 19

Which machine learning technique is commonly employed for image recognition tasks?

Accepted Answer

Convolutional Neural Networks (CNNs)

Answer

Support Vector Machines

Answer

Linear Regression

Answer

Decision Trees

Question 20

What is the crucial role of data in developing and deploying AI and ML systems?

Accepted Answer

Data is essential for training and evaluating models

Answer

Data has no significance for AI and ML systems

Answer

Data is only relevant for supervised learning

Question 21

Which type of AI specializes in performing specific tasks within a limited domain, achieving high performance within that domain?

Accepted Answer

Narrow AI

Answer

Reactive Machines

Answer

General AI

Question 22

Which type of ML algorithm learns from labeled data to predict outcomes or make decisions?

Accepted Answer

Supervised Learning

Answer

Reinforcement Learning

Answer

Unsupervised Learning

Question 23

Which type of AI aims to develop machines that possess a wide range of human cognitive abilities, including reasoning, learning, and problem-solving?

Accepted Answer

General AI

Answer

Limited AI

Answer

Narrow AI

Question 24

Which type of ML algorithm identifies patterns and structures in unlabeled data without prior knowledge or supervision?

Accepted Answer

Unsupervised Learning

Answer

Supervised Learning

Answer

Transfer Learning

Answer

Reinforcement Learning

Question 25

Which type of ML algorithm learns through trial and error, receiving rewards or penalties based on its actions, to maximize a specific objective?

Accepted Answer

Reinforcement Learning

Answer

Transfer Learning

Answer

Unsupervised Learning

Answer

Supervised Learning

Question 26

Which advantage is NOT associated with General AI?

Accepted Answer

Currently available and widely deployed

Answer

Can perform diverse tasks and adapt to new situations

Answer

Requires vast amounts of data and computational resources

Answer

Potential to revolutionize various industries and domains

Question 27

Which type of ML is commonly utilized in applications such as image recognition and object detection?

Accepted Answer

Supervised Learning

Answer

Unsupervised Learning

Answer

Transfer Learning

Answer

Reinforcement Learning

Question 28

Which type of ML is often employed in fraud detection and anomaly identification?

Accepted Answer

Unsupervised Learning

Answer

Supervised Learning

Answer

Reinforcement Learning

Answer

Transfer Learning

Question 29

Which type of ML is commonly used in self-driving cars and robotics, where agents interact with dynamic environments?

Accepted Answer

Reinforcement Learning

Answer

Unsupervised Learning

Answer

Transfer Learning

Answer

Supervised Learning

Question 30

Which type of AI specializes in performing a specific, well-defined task?

Accepted Answer

Narrow AI

Answer

Deep Learning

Answer

Machine Learning

Answer

General AI

Question 31

Which type of ML requires labeled data for training, where the output is known?

Accepted Answer

Supervised Learning

Answer

Transfer Learning

Answer

Generative AI

Answer

Unsupervised Learning

Question 32

Which type of ML algorithm identifies patterns and structures in unlabeled data, where the output is unknown?

Accepted Answer

Unsupervised Learning

Answer

Supervised Learning

Answer

Deep Learning

Answer

Reinforcement Learning

Question 33

Which type of AI learns through trial and error, receiving rewards or penalties to optimize behavior?

Accepted Answer

Reinforcement Learning

Answer

Supervised Learning

Answer

Unsupervised Learning

Answer

Natural Language Processing

Question 34

Which application of AI focuses on understanding and generating human language?

Accepted Answer

Natural Language Processing

Answer

Computer Vision

Answer

Expert Systems

Question 35

Which type of AI system aims to replicate human cognitive abilities, including reasoning and problem-solving?

Accepted Answer

General AI

Answer

Narrow AI

Answer

Reinforcement Learning

Answer

Supervised Learning

Question 36

Which component of a neural network receives input data and initiates the learning process?

Accepted Answer

Input Layer

Answer

Output Layer

Answer

Activation Function

Answer

Hidden Layer

Question 37

Which type of AI architecture involves training a neural network with multiple hidden layers and connections?

Accepted Answer

Deep Learning

Answer

Reinforcement Learning

Answer

Natural Language Processing

Answer

Machine Learning

Question 38

Which of the following is a potential benefit of AI implementation?

Accepted Answer

Improved efficiency and productivity

Answer

Increased unemployment

Answer

Ethical concerns

Answer

Lack of transparency

Question 39

Which of the following is a characteristic of Narrow AI?

Accepted Answer

Designed for specific tasks.

Answer

Interacts with the environment during training.

Answer

Trained on unlabeled data.

Answer

Mimics human intelligence.

Question 40

What is the primary goal of General AI?

Accepted Answer

Achieve human-level intelligence.

Answer

Adapt to changing environments through interactions.

Answer

Perform a specific task exceptionally well.

Answer

Discover hidden patterns in data.

Question 41

Which type of ML algorithm requires labeled data for training?

Accepted Answer

Supervised learning

Answer

Generative learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 42

Which ML algorithm is best suited for tasks involving unlabeled data?

Accepted Answer

Unsupervised learning

Answer

Transfer learning

Answer

Supervised learning

Answer

Generative learning

Question 43

Which type of AI utilizes reinforcement to learn through interactions with its environment?

Accepted Answer

Reinforcement learning

Answer

Unsupervised learning

Answer

Generative learning

Answer

Supervised learning

Question 44

Which of the following ML algorithms is used to build recommendation engines?

Accepted Answer

Supervised learning

Answer

Generative learning

Answer

Reinforcement learning

Answer

Unsupervised learning

Question 45

Which type of AI is used in the development of self-driving cars?

Accepted Answer

Narrow AI

Answer

Unsupervised learning

Answer

General AI

Answer

Supervised learning

Question 46

Which ML algorithm is most suitable for training image recognition systems?

Accepted Answer

Supervised learning

Answer

Reinforcement learning

Answer

Generative learning

Answer

Unsupervised learning

Question 47

Which of the following is a characteristic of Narrow AI?

Accepted Answer

Capable of performing specific tasks within a limited domain.

Answer

Can learn and improve over time without human intervention.

Answer

Can create new knowledge or ideas on its own.

Answer

Can perform any intellectual task a human can do.

Question 48

Which of the following is the ultimate goal of General AI research?

Accepted Answer

To develop AI systems that can perform any intellectual task a human can do.

Answer

To create AI systems that can learn and improve over time without human intervention.

Answer

To develop AI systems that can perform specific tasks within a limited domain.

Answer

To create AI systems that can communicate and interact with humans naturally.

Question 49

Which type of Machine Learning involves training a model using labeled data?

Accepted Answer

Supervised Learning

Answer

Reinforcement Learning

Answer

Unsupervised Learning

Answer

Generative Learning

Question 50

Which of the following is a key characteristic of Unsupervised Learning?

Accepted Answer

The model learns patterns and structures from unlabeled data.

Answer

The model is able to generate new and original data.

Answer

The model is trained using a large dataset of labeled examples.

Answer

The model is rewarded for making correct predictions.

Question 51

Which Machine Learning technique is commonly used in game-playing and robotics?

Accepted Answer

Reinforcement Learning

Answer

Unsupervised Learning

Answer

Supervised Learning

Answer

Generative Learning

Question 52

Which of the following is an advantage of using Supervised Learning?

Accepted Answer

Higher accuracy on labeled data due to direct supervision during training.

Answer

Better performance on unseen data even without explicit training on it.

Answer

Lower computational cost compared to other Machine Learning methods.

Answer

Ability to learn and adapt without the need for labeled data.

Question 53

Which challenge is commonly associated with Unsupervised Learning?

Accepted Answer

Difficulty in evaluating model performance due to the absence of labeled data.

Answer

Need for large and diverse labeled datasets for effective training.

Answer

High computational cost and resource requirements during training.

Answer

Tendency to overfit the training data, reducing generalization能力.

Question 54

Which application scenario is most suitable for the use of Narrow AI?

Accepted Answer

Image recognition within a specific context, such as medical diagnosis or facial recognition.

Answer

Predicting financial market trends and making investment decisions.

Answer

Developing self-driving cars that can navigate complex traffic conditions.

Answer

Providing personalized recommendations based on user preferences and behavior.

Question 55

Which category of tasks is most effectively automated using Reinforcement Learning?

Accepted Answer

Tasks that require learning through trial and error, such as game-playing or robotic control.

Answer

Tasks that involve classifying documents or images based on predefined categories.

Answer

Tasks that require predicting future events or outcomes based on historical data.

Answer

Tasks that involve translating languages or generating creative content.