Artificial Intelligence Quizzes for Master's in Computer Science

Question 1

In machine learning, which approach enables learning through feedback from an interactive environment, rather than relying on labeled data?

Accepted Answer

Reinforcement learning

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Transfer learning

Question 2

Which of the following is NOT a subfield of Artificial Intelligence?

Accepted Answer

Data Management

Answer

Natural Language Processing

Answer

Computer Vision

Answer

Knowledge Representation

Question 3

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

Accepted Answer

Descriptive Learning

Answer

Supervised Learning

Answer

Unsupervised Learning

Answer

Semi-Supervised Learning

Question 4

Which of the following is not a primary type of machine learning algorithm?

Accepted Answer

Association Rule Learning

Answer

Supervised Learning

Answer

Unsupervised Learning

Answer

Deep Learning

Question 5

In artificial intelligence, which technique enables computers to learn from data and enhance their performance over time, without the need for explicit rule-based programming?

Accepted Answer

Machine learning

Answer

Rule-based systems

Answer

Neural networks

Answer

Knowledge-based systems

Question 6

In machine learning, which learning type involves training the model using data that has known outputs?

Accepted Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Answer

Transfer learning

Question 7

Which of the following is NOT a primary category of machine learning?

Accepted Answer

Regression analysis

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 8

What is a key characteristic of deep learning algorithms that enables them to learn complex relationships within data?

Accepted Answer

Multi-layered processing architecture

Answer

Requirement of hand-crafted features

Answer

Suitability only for small datasets

Answer

Deterministic behavior in all cases

Question 9

In machine learning, which subset focuses on training models to recognize patterns and connections in data without direct supervision?

Accepted Answer

Unsupervised Learning

Answer

Supervised Learning

Answer

Reinforcement Learning

Answer

Deep Learning

Question 10

Machine Learning, a subfield of AI, involves algorithms that learn from data. Which of the following is NOT a core subtopic of Machine Learning?

Accepted Answer

Genetic Programming

Answer

Supervised Learning

Answer

Unsupervised Learning

Answer

Reinforcement Learning

Question 11

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

Accepted Answer

Clustering

Answer

Supervised Learning

Answer

Unsupervised Learning

Answer

Reinforcement Learning

Question 12

Which of the following is not a type of reinforcement learning?

Accepted Answer

Supervised

Answer

Value-based

Answer

Policy-based

Answer

Model-based

Question 13

Which of these is NOT a core type of machine learning algorithm?

Accepted Answer

Evolutionary algorithms

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Semi-supervised learning

Question 14

What is the main objective of reinforcement learning, a type of machine learning technique used for sequential decision-making?

Accepted Answer

Finding a series of actions that maximizes total reward in a given environment

Answer

Learning a fixed mapping from input to output using labeled data

Answer

Identifying distinct groups within a dataset based on their similarities

Answer

Generating new data that matches the distribution of the training data

Question 15

Which of the following is not a core subfield of Artificial Intelligence?

Accepted Answer

Data Analytics

Answer

Machine Learning

Answer

Natural Language Processing

Answer

Robotics

Question 16

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

Accepted Answer

Quantum annealing

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Semi-supervised learning

Question 17

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

Accepted Answer

Clustering

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 18

What is the field of study that focuses on developing machines that can perform tasks typically requiring human intelligence?

Accepted Answer

Artificial Intelligence

Answer

Biology

Answer

Physics

Answer

Mathematics

Question 19

Which of the following is NOT a primary category of machine learning?

Accepted Answer

Transfer learning

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 20

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

Accepted Answer

Cryptography

Answer

Machine Learning

Answer

Computer Vision

Answer

Natural Language Processing

Question 21

In machine learning, which approach trains models on labelled data to make predictions?

Accepted Answer

Supervised learning: Uses labelled data for training.

Answer

Unsupervised learning: Uses unlabelled data for training.

Answer

Reinforcement learning: Learns through interaction without labelled data.

Answer

Semi-supervised learning: Combines labelled and unlabelled data for training.

Question 22

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

Accepted Answer

Evolutionary algorithm

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 23

What characteristic distinguishes artificial intelligence (AI) from traditional computing?

Accepted Answer

AI systems can learn from experience and adjust their behavior.

Answer

AI systems always surpass humans in computational tasks.

Answer

AI systems only follow pre-programmed instructions.

Answer

AI systems have consciousness and emotions like humans.

Question 24

Which of these is a *technique* used within machine learning, rather than a *type* of machine learning?

Accepted Answer

Transfer learning

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 25

Which of the following is NOT a recognized subfield within the domain of Artificial Intelligence (AI)?

Accepted Answer

Quantum Computing

Answer

Natural Language Processing

Answer

Sentiment Analysis

Question 26

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

Accepted Answer

Deductive Learning

Answer

Supervised Learning

Answer

Unsupervised Learning

Answer

Reinforcement Learning

Question 27

Which of the following is NOT a primary category of machine learning?

Accepted Answer

Generative Adversarial Networks (GANs)

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 28

In computer vision, which technique is widely used for detecting objects in images?

Accepted Answer

Convolutional Neural Networks (CNNs)

Answer

Support Vector Machines

Answer

Linear Regression

Answer

Decision Trees

Question 29

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

Accepted Answer

Evolutionary computation

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Support vector machines (SVM)

Question 30

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

Accepted Answer

Transfer Learning

Answer

Supervised Learning

Answer

Unsupervised Learning

Answer

Reinforcement Learning

Question 31

In multi-agent systems, which approach involves assigning problem-solving tasks to multiple independent agents?

Accepted Answer

Distributed Problem Solving

Answer

Centralized Control

Answer

Heuristic Search

Question 32

In unsupervised learning, what is the key characteristic that differentiates it from other machine learning approaches?

Accepted Answer

The model identifies hidden structures and patterns within the data.

Answer

The model's training relies on labeled data.

Answer

The model predicts an output variable based on input features.

Answer

The model is trained using only a small portion of the available data.

Question 33

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

Accepted Answer

Transfer learning

Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Question 34

In Swarm Intelligence, which technique models the collective behavior of decentralized systems like ant colonies?

Accepted Answer

Particle Swarm Optimization

Answer

Artificial Neural Networks

Answer

Genetic Algorithms

Question 35

Which characteristic is shared by both machine learning and deep learning approaches in artificial intelligence?

Accepted Answer

They can learn from data and improve their performance over time.

Answer

They require extensive manual feature engineering.

Answer

Machine learning models have a fixed structure, while deep learning models can adjust their architecture.

Answer

Deep learning models always outperform machine learning models.

Question 36

In computer vision, a key advantage of deep learning models over traditional machine learning approaches is their ability to:

Accepted Answer

Automatically extract relevant features from visual data, simplifying the development of computer vision systems.

Answer

Achieve significantly lower computational costs, making them more practical for real-world applications.

Answer

Provide less accurate results due to their inability to capture intricate relationships within visual data.

Question 37

In computer vision, which technique is commonly employed for image classification tasks?

Accepted Answer

Convolutional Neural Networks (CNNs)

Answer

K-Nearest Neighbors (KNN)

Answer

Linear Regression

Answer

Decision Trees

Question 38

What unique feature of fuzzy logic enables it to process uncertain or imprecise information effectively, unlike traditional logic systems?

Accepted Answer

Approximate reasoning capability

Answer

Boolean algebra foundation

Answer

Precise and deterministic reasoning

Answer

Symbolic knowledge representation

Question 39

In computer vision, which method leverages the capabilities of deep neural networks to analyze and interpret visual data, enabling tasks like object recognition, facial analysis, and image segmentation?

Accepted Answer

Convolutional Neural Networks (CNNs)

Answer

Decision Trees

Answer

Natural Language Processing (NLP)

Answer

Reinforcement Learning

Question 40

In genetic algorithms, what is the term for the group of potential solutions that are assessed and modified during the optimization process?

Accepted Answer

Population

Answer

Genome

Answer

Fitness function

Answer

Mutation rate

Question 41

Within the realm of machine learning, which of the following is NOT a recognized type of learning?

Accepted Answer

Quantum Learning

Answer

Supervised Learning

Answer

Unsupervised Learning

Answer

Semi-supervised Learning

Question 42

In the field of robotics, which type of robot is designed to operate independently in complex and unstructured environments, often with the ability to adapt and learn?

Accepted Answer

Autonomous Robot

Answer

Industrial Robot

Question 43

Which of the following is not considered a core subfield of artificial intelligence?

Accepted Answer

Quantum Computing

Answer

Machine Learning

Answer

Natural Language Processing

Answer

Robotics

Question 44

Which of the following is NOT a core concept or technique used in machine learning?

Accepted Answer

Quantum Computing

Answer

Data Preprocessing

Answer

Feature Engineering

Answer

Model Validation

Question 45

In the healthcare industry, which of these is a key application of cognitive computing?

Accepted Answer

Early detection of diseases by analyzing patient data patterns

Accepted Answer

Creating personalized treatment plans using patient profiles

Accepted Answer

Identifying potential drug interactions and side effects through data analysis

Question 46

In the realm of robotics, which subfield focuses on creating robots capable of interacting and collaborating with humans in a seamless and intuitive manner?

Accepted Answer

Human-Robot Interaction (HRI)

Answer

Robot Control

Answer

Robot Learning

Question 47

What unique feature allows Recurrent Neural Networks (RNNs) to excel at processing sequential data like text and audio, setting them apart from other deep learning models?

Accepted Answer

RNNs possess a memory mechanism that retains past inputs, enabling them to capture long-term dependencies in sequential data.

Answer

RNNs exclusively utilize convolutional layers, which are tailored for processing grid-like data such as images.

Answer

RNNs are capable of unsupervised learning, allowing them to identify patterns in data without the need for labeled examples.

Question 48

In Fuzzy Logic, what is the primary distinction between fuzzy sets and traditional sets?

Accepted Answer

Fuzzy sets introduce the concept of partial membership, which traditional sets do not.

Answer

Fuzzy sets have clearly defined boundaries, unlike traditional sets.

Answer

Traditional sets can handle imprecise data, while fuzzy sets cannot.

Answer

Discrete values can be represented by fuzzy sets, but continuous values cannot be represented by traditional sets.

Question 49

In genetic algorithms, what is the process called where individuals are chosen from the population based solely on their fitness?

Accepted Answer

Fitness-based selection

Answer

Crossover

Answer

Mutation

Answer

Tournament selection

Question 50

Define cognitive computing and explain how it differs from traditional rule-based expert systems.

Accepted Answer

Cognitive computing mimics human thinking, including uncertainty, learning, and reasoning, while expert systems use fixed rules.

Answer

Cognitive computing automates routine tasks, while expert systems aid in complex decision-making.

Answer

Cognitive computing requires extensive training data, unlike expert systems.

Question 51

In the field of Artificial Intelligence, what is the primary goal of natural language processing (NLP)?

Accepted Answer

Enable computers to comprehend and generate text like humans.

Answer

Enhance computer network performance.

Answer

Advance the development of robotics systems.

Answer

Create AI systems capable of logical reasoning and problem-solving.

Question 52

In the Turing Test, which of the following occurs?

Accepted Answer

A human evaluator interacts with two parties, one human and one machine, without knowing their identities.

Answer

The machine always fools the human evaluator.

Answer

The test measures a machine's overall intelligence.

Answer

The test has no practical applications in AI development.

Question 53

How do cloud computing platforms contribute to the development and deployment of AI solutions?

Accepted Answer

Cloud platforms offer vast computational resources for training and deploying AI models.

Answer

AI development and deployment can be done without cloud platforms, as models can be trained and deployed locally.

Answer

Cloud platforms solely support AI deployment, not development.

Answer

Cloud platforms are primarily used for AI data storage and management, not development or deployment.

Question 54

In Computer Vision, Deep Learning models offer advantages and drawbacks. Discuss the trade-offs between their accuracy, computational demands, and interpretability.

Accepted Answer

High accuracy, but often computationally demanding and less interpretable.

Answer

Computationally efficient and interpretable, but lower accuracy.

Answer

High accuracy, computationally efficient, and fully interpretable.

Answer

Unsuitable for Computer Vision due to low accuracy and high computational cost.

Question 55

How can artificial intelligence (AI) help address climate change?

Accepted Answer

AI can improve weather forecasting, allowing for better adaptation to climate change.

Accepted Answer

AI can optimize energy use, reduce emissions, and promote renewable energy.

Accepted Answer

AI can create new materials and technologies for a more sustainable future.

Answer

AI can solve climate change without human action or policy changes.

Question 56

Which computer vision task involves locating objects within an image?

Accepted Answer

Object detection

Answer

Image classification

Answer

Image segmentation

Answer

Face recognition

Question 57

What is the primary purpose of a neural network?

Accepted Answer

Learn complex patterns from data

Answer

Perform logical operations

Answer

Store data

Answer

Control hardware

Question 58

Which of the following examples represents a generative adversarial network (GAN)?

Accepted Answer

A model generating realistic images

Answer

A model classifying images

Answer

A model detecting objects in images

Answer

A model translating languages

Question 59

Which of the following is NOT a type of neural network architecture?

Accepted Answer

Linear regression

Answer

Convolutional neural network

Answer

Recurrent neural network

Answer

Generative adversarial network

Question 60

Natural language processing (NLP) primarily aims to:

Accepted Answer

Enable computers to comprehend and generate human language

Answer

Create three-dimensional models of objects

Answer

Solve complex optimization problems

Answer

Control physical systems autonomously

Question 61

What is the primary objective of unsupervised learning in AI?

Accepted Answer

Unveiling hidden patterns and structures within data

Answer

Categorizing data into pre-defined classes

Answer

Predicting output values based on given inputs

Answer

Optimizing the performance of existing systems

Question 62

The Turing test is primarily used in AI to:

Accepted Answer

Evaluate a machine's ability to exhibit human-like intelligence

Answer

Test the performance of natural language processing systems

Answer

Assess the accuracy of facial recognition algorithms

Answer

Detect fraudulent activities in online transactions

Question 63

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

Accepted Answer

To empower computers with the ability to comprehend human language

Answer

To enhance the efficiency of search engines

Answer

To generate realistic-looking text

Answer

To automate language translation

Question 64

Which computer vision technique is employed to identify and locate objects within an image?

Accepted Answer

Object detection

Answer

Image classification

Answer

Face recognition

Answer

Scene understanding