Introduction to AI: Master the Fundamentals of Artificial Intelligence

Question 1

Which of the following technologies is central to the advancement of Artificial Intelligence (AI)?

Accepted Answer

Machine Learning

Answer

Quantum Computing

Answer

Cloud Computing

Answer

Blockchain

Question 2

In machine learning, what is the process by which algorithms improve their performance based on data analysis?

Accepted Answer

Training

Answer

Deployment

Answer

Testing

Answer

Evaluation

Question 3

Which type of AI exhibits cognitive abilities comparable to humans, enabling it to handle complex tasks?

Accepted Answer

General AI

Answer

Narrow AI

Answer

Super AI

Answer

Weak AI

Question 4

AI algorithms can potentially exhibit biases. Which of the following ethical concerns arises from this issue?

Accepted Answer

Discrimination

Answer

Security Breaches

Answer

Economic Inequality

Answer

Environmental Degradation

Question 5

Who is widely recognized for coining the term 'Artificial Intelligence'?

Accepted Answer

John McCarthy

Answer

Alan Turing

Answer

Marvin Minsky

Answer

Claude Shannon

Question 6

Which AI technique involves training models on substantial volumes of annotated data?

Accepted Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Answer

Transfer learning

Question 7

What is the distinction between narrow AI and general AI?

Accepted Answer

Narrow AI is task-specific, while general AI is capable of handling a wide range of tasks.

Answer

General AI is task-specific, while narrow AI is capable of handling a wide range of tasks.

Answer

Narrow AI requires human intervention, while general AI does not.

Answer

General AI requires human intervention, while narrow AI does not.

Question 8

Which of the following is NOT a potential application of AI in the healthcare sector?

Accepted Answer

Customer support

Answer

Personalized medicine

Answer

Medical image analysis

Answer

Drug discovery

Question 9

Which significant milestone in AI history signaled the shift from symbolic to connectionist problem-solving approaches?

Accepted Answer

Introduction of backpropagation algorithms

Answer

Development of the Turing Test

Answer

Invention of the first computer

Answer

Launch of the first AI chatbot

Question 10

Which of the following is **not** a subfield of Artificial Intelligence (AI)?

Accepted Answer

Cloud Computing

Answer

Machine Learning

Answer

Deep Learning

Answer

Natural Language Processing

Question 11

Which type of neural network architecture is primarily used for image and speech recognition tasks?

Accepted Answer

Convolutional Neural Network (CNN)

Answer

Recurrent Neural Network (RNN)

Answer

Generative Adversarial Network (GAN)

Answer

Transformer Network

Question 12

Which natural language processing (NLP) technique involves dividing a sentence into its constituent components, such as nouns and verbs?

Accepted Answer

Part-of-Speech Tagging

Answer

Text Summarization

Answer

Machine Translation

Answer

Named Entity Recognition

Question 13

Which of the following is a distinctive feature of strong AI, in contrast to weak AI?

Accepted Answer

Ability to reason and think at a human-like level

Answer

Capability to execute narrow, specific tasks

Answer

Reliance on human input for decision-making

Answer

Narrow scope of application

Question 14

Which programming language is widely used for AI development, particularly deep learning?

Accepted Answer

Python

Answer

Java

Answer

C++

Answer

R

Question 15

Which of the following is **NOT** a core technology that drives the AI revolution?

Accepted Answer

Blockchain

Answer

Machine learning

Answer

Deep learning

Answer

Natural language processing

Question 16

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

Accepted Answer

To enable computers to comprehend and communicate in human language

Answer

To uncover patterns within large datasets

Answer

To automate decision-making processes

Question 17

Which type of AI possesses the ability to learn from experience and adjust its behavior accordingly?

Accepted Answer

Machine learning

Answer

Fuzzy logic

Answer

Expert systems

Answer

Rule-based AI

Question 18

Which of the following subfields of AI primarily focuses on computer vision?

Accepted Answer

Image recognition

Answer

Game playing

Answer

Natural language understanding

Answer

Robotics

Question 19

Explain the fundamental distinction between supervised and unsupervised learning in machine learning:

Accepted Answer

Supervised learning utilizes labeled data, whereas unsupervised learning does not.

Answer

Supervised learning is more complex than unsupervised learning.

Answer

Unsupervised learning is primarily used for classification tasks.

Question 20

Which of the following is NOT considered a core technology driving the current AI revolution?

Accepted Answer

Quantum Computing

Answer

Deep Learning

Answer

Natural Language Processing

Answer

Machine Learning

Question 21

What is the key difference between supervised and unsupervised learning?

Accepted Answer

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

Answer

Supervised learning is simpler to implement than unsupervised learning.

Answer

Supervised learning focuses on prediction, while unsupervised learning focuses on classification.

Answer

Supervised learning is faster than unsupervised learning.

Question 22

The Turing Test is designed to evaluate which aspect of artificial intelligence?

Accepted Answer

Machine intelligence

Answer

Data processing speed

Answer

Machine learning efficiency

Answer

Algorithm complexity

Question 23

What is a significant advantage of using neural networks over traditional machine learning algorithms?

Accepted Answer

Neural networks can learn complex patterns from large datasets.

Answer

Neural networks are faster to train than traditional algorithms.

Answer

Neural networks require less data than traditional algorithms.

Answer

Neural networks are more easily interpretable than traditional algorithms.

Question 24

Which technique is commonly used in deep learning to enhance model performance and prevent overfitting?

Accepted Answer

Regularization

Answer

K-means clustering

Answer

Linear regression

Answer

Decision tree induction

Question 25

What is the primary goal of AI research?

Accepted Answer

To develop intelligent machines capable of performing tasks similar to humans.

Answer

To optimize data processing efficiency.

Answer

To automate all human tasks.

Answer

To create algorithms that can predict future events.

Question 26

Who is credited with developing the concept of the 'Turing Test'?

Accepted Answer

Alan Turing

Answer

Geoffrey Hinton

Answer

John McCarthy

Answer

Marvin Minsky

Question 27

A self-driving car navigating a busy intersection would likely benefit most from which AI technique?

Accepted Answer

Reinforcement learning

Answer

Expert systems

Answer

Supervised learning

Answer

Unsupervised learning