AI EXAM - Carine Eustache | Laabri | Nneɛma a ɛma wotumi yɛ ade

1

What does Al stand for?

Advanced Information

Algorithmic Integration

Advanced Integration

Artificial Intelligence

1

Who is considered the father of AI?

Alan Turing

Isaac Asimov

John McCarthy

Marvin Minsky

1

Which of the following is NOT a characteristic of AI?

Learning from data

Emotions and consciousness

Reasoning and problem-solving

Adaptability

1

What is the primary goal of AI?

Replicate human intelligence

Automate repetitive tasks

Enhance cybersecurity

Conduct scientific research

1

Which programming language is commonly used for AI development?

JavaScript

Python

C#

Swift

1

What is Machine Learning?

The study of mechanical systems

A subset of AI that enables systems to learn from data

The process of building robots

A type of human learning

1

In supervised learning, what do we provide to the model during training? C)

Only input data

Only expected output

Input data and expected output

Pre-trained models

1

Which algorithm is commonly used for classification in supervised learning?

Linear Regression

K-Means

Decision Trees

Logistic Regression

1

What type of learning does a recommendation system use to suggest products or content?

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Deep Learning

1

What is the primary challenge in unsupervised learning?

Lack of labeled data

Overfitting

Model interpretability

Slow training times

1

What is a neural network?
What is the term for training a deep learning model on multiple GPUs or distributed systems? A) Multi-threading B) Data augmentation C) Transfer learning D) Distributed training (Answer: D)
What is the vanishing gradient problem in deep learning? A) When the gradients become too large and cause instability B) When the model converges too quickly C) When the gradients become too small during training D) When the learning rate is too high (Answer: C)

A complex biological brain

A computer hardware component

A mathematical model inspired by the human brain

A type of programming language

1

Which deep learning architecture is used for sequential data processing, such as natural language?

Convolutional Neural Network (CNN)

Recurrent Neural Network (RNN)

Long Short-Term Memory (LSTM)

Perceptron

1

What is the purpose of an activation function in a neural network?

To increase the size of the input data

To control the learning rate

To introduce non-linearity into the model

To minimize overfitting

1

What is the term for training a deep learning model on multiple GPUs or distributed systems?

Multi-threading

Data augmentation

Transfer learning

Distributed training

1

What is the vanishing gradient problem in deep learning?

When the gradients become too large and cause instability

When the model converges too quickly

When the gradients become too small during training

When the learning rate is too high

1

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

Recognizing images

Analyzing audio data

Understanding and processing human language

Simulating human emotions

1

Which NLP technique is used to convert words into numerical vectors?

Tokenizatio

Embedding

Stemming

Parsing

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Which NLP application involves a computer generating human-like text?

Sentiment analysis

Speech recognition

Text summarization

Natural language generation

1

What is the term for the process of breaking down a sentence into its grammatical components?

Parsing

Tokenization

Sentiment analysis

Stemming

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Which of the following is NOT a challenge in NLP?

Ambiguity in language

Lack of available data

Language diversity

Perfect accuracy in text generation

1

Which AI technique is used to find the optimal solution for a problem by exploring all possible solutions?

Genetic Algorithms

Reinforcement Learning

Expert Systems

K-Means Clustering

1

What is the primary advantage of using ensemble learning methods like Random Forest? A)

They are computationally simple

They are resistant to overfitting

They require minimal training data

They are interpretable

1

In natural language processing, what is an N-gram?

A type of neural network

A sequence of N words or characters

A linguistic rule

A type of sentiment analysis

1

Which AI technique is often used for making recommendations, such as suggesting products on an e-commerce website?

Genetic Algorithms

Clustering

Collaborative Filtering

Principal Component Analysis (PCA)

1

What does CNN stand for in the context of deep learning?

Convex Neural Network

Convolutional Neural Network

Continuous Neural Network

Comprehensive Neural Network

1

Which industry commonly uses AI for predictive maintenance of equipment and machinery?

Healthcare

Automotive

Finance

Manufacturing

1

What is the primary goal of AI-powered chatbots in customer service?

Generate revenue for the company

Provide emotional support to customers

Automate responses to common queries

Improve employee satisfaction

1

Which AI technique is used for detecting and preventing fraudulent activities in financial transactions?

Natural Language Processing

Reinforcement Learning

Computer Vision

Anomaly Detection

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What is the main benefit of using AI in healthcare diagnostics?

Reducing the cost of medical treatments

Increasing the speed and accuracy of diagnoses

Replacing the need for human doctors

Decreasing patient privacy concerns

1

How can AI be applied in the field of autonomous vehicles?

By predicting stock market trends

By assisting with medical surgeries

By enabling self-driving cars

ing virtual reality games

1

What is AI bias?

An AI's tendency to favor certain data patterns

A measure of AI's accuracy

An AI's ability to reason ethically

A type of deep learning algorithm (

1

What is the term for the unintended consequences that may arise from AI decision-making?

Algorithmic fairness

AI transparency

Algorithmic bias

Algorithmic accountability

1

What is the "singularity" in the context of AI?

The point at which AI systems become conscious

A type of neural network architecture

A popular AI programming language

The predicted future point of rapid technological change driven by AI

1

What is explainable AI (XAI) designed to address?

Making AI systems more secretive

Making AI systems more biased

Improving the transparency and interpretability of AI decisions

Reducing AI's processing power

1

What are the ethical concerns associated with the use of AI in surveillance?

Invasion of privacy and potential misuse

Improved security and safety

Increased data storage costs

Limiting law enforcement capabilities

1

What is the term for AI systems that can improve their performance on a task without being explicitly programmed?

Expert Systems

Machine Learning

Reinforcement Learning

Deep Learning

1

Which industry often uses AI-driven recommendation systems to personalize content for users?

Retail

Agriculture

Construction

Mining

1

What is the primary goal of AI in supply chain management?

Reducing carbon emissions

Increasing operational efficiency

Eliminating the need for human workers

Minimizing customer complaints

1

How can AI be applied in the field of finance and trading?

Predicting stock market trends

Generating cryptocurrency

Auditing financial statements

Providing investment advice

1

Which AI technique is used to improve the accuracy of credit scoring models in the banking sector?

Genetic Algorithms

Deep Learning

Fuzzy Logic

Reinforcement Learning

1

What is telemedicine, and how can AI enhance it?

Telemedicine is remote surgery, and AI can improve surgical precision.

Telemedicine is remote patient monitoring, and AI can analyze patient data in real-time.

Telemedicine is virtual reality therapy, and AI can create virtual environments.

Telemedicine is AI-powered medical chatbots.

1

Which AI application assists radiologists in detecting anomalies in medical images?

Natural Language Processing (NLP)

Computer Vision

Speech Recognition

Reinforcement Learning

1

How can AI be used for drug discovery in the pharmaceutical industry?

By automating the manufacturing process

By predicting potential drug candidates through data analysis

By monitoring patient health records

By conducting clinical trials

1

What is the primary benefit of AI-powered robotic surgery?

Reduced risk of human error

Lower surgical costs

Elimination of the need for surgeons

Faster surgery times (Answer: A)

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In healthcare, what is the term for the process of predicting patient outcomes and identifying at-risk individuals?

Disease detection

Medical imaging

Predictive analytics

Prescription management

1

What is quantum computing, and how does it relate to AI?

Quantum computing is a type of AI technique.

Quantum computing can accelerate certain AI calculations, making AI more powerful.

Quantum computing and AI are unrelated technologies.

Quantum computing is used for AI data storage.

1

How does AI contribute to the development of autonomous drones and vehicles?

By enhancing the appearance of the vehicles

By improving passenger comfort

providing real-time data analysis for navigation and decision-making

By reducing the need for regular maintenance

1

What is the term for AI systems that can understand, interpret, and generate human-like text and speech?

Natural Language Processing (NLP)

Computer Vision

Reinforcement Learning

Genetic Algorithms

1

What is the potential impact of AI on job markets?

AI will eliminate all jobs.

AI will create new job opportunities and change the nature of existing jobs.

AI will only affect low-skilled jobs.

AI will have no impact on job markets.

1

How can AI be used to address environmental challenges, such as climate change?

By reducing energy consumption in AI data centers

By optimizing transportation routes to reduce emissions

By replacing human workers with AI-powered robots

By increasing the use of fossil fuels for AI training