AI General Knowledge

Question 1

What is Artificial Intelligence (AI)?
A. A type of computer hardware
B. A programming language
C. The simulation of human intelligence in machines
D. The process of manually coding data

Answer 1

C. The simulation of human intelligence in machines

Question 2

Which of the following is a subset of AI that focuses on developing algorithms that allow computers to learn from data?
A. Robotics
B. Quantum Computing
C. Machine Learning (ML)
D. Internet of Things (IoT)

Answer 2

C. Machine Learning (ML)

Question 3

What type of machine learning involves learning from labeled data?
A. Unsupervised Learning
B. Supervised Learning
C. Reinforcement Learning
D. Semi-supervised Learning

Answer 3

B. Supervised Learning

Question 4

Deep Learning is a subset of which broader field?
A. Machine Learning
B. Natural Language Processing
C. Computer Vision
D. Robotics

Answer 4

A. Machine Learning

Question 5

Which field of AI focuses on the interaction between computers and humans through natural language?
A. Computer Vision
B. Robotics
C. Natural Language Processing (NLP)
D. Expert Systems

Answer 5

C. Natural Language Processing (NLP)

Question 6

Which of the following is an application of AI in healthcare?
A. Autonomous vehicles
B. Fraud detection
C. Diagnosing diseases
D. Personalized banking services

Answer 6

C. Diagnosing diseases

Question 7

What is a key advantage of AI?
A. Increased need for manual data entry
B. Reduced efficiency in data analysis
C. Ability to automate repetitive tasks
D. Increased costs and slower decision making

Answer 7

C. Ability to automate repetitive tasks

Question 8

What is a potential challenge of AI related to job displacement?
A. AI can reduce the need for data analysis.
B. AI can lead to job losses in certain sectors.
C. AI can improve job satisfaction for all employees.
D. AI has no impact on employment.

Answer 8

B. AI can lead to job losses in certain sectors.

Question 9

Which ethical consideration involves AI systems perpetuating biases present in training data?
A. Transparency
B. Bias and Fairness
C. Privacy
D. Security

Answer 9

B. Bias and Fairness

Question 10

What does the future of AI promise?
A. Elimination of all ethical concerns
B. Creation of more generalizable intelligence
C. Reduced use of data in decision making
D. Decrease in human-computer interactions

Answer 10

B. Creation of more generalizable intelligence

Question 11

What type of learning is characterized by an agent learning through rewards and penalties by interacting with its environment?
A. Supervised Learning
B. Unsupervised Learning
C. Reinforcement Learning
D. Deep Learning

Answer 11

C. Reinforcement Learning

Question 12

Which AI technology is commonly used for recognizing faces in images?
A. Natural Language Processing
B. Computer Vision
C. Machine Learning
D. Expert Systems

Answer 12

B. Computer Vision

Question 13

In which industry is AI used for algorithmic trading?
A. Healthcare
B. Finance
C. Entertainment
D. Transportation

Answer 13

B. Finance

Question 14

What is the primary goal of Natural Language Processing (NLP)?
A. To interpret and make decisions based on visual data
B. To enable machines to understand and generate human language
C. To develop algorithms that can learn from data
D. To simulate physical movements in robots

Answer 14

B. To enable machines to understand and generate human language

Question 15

Which of the following is an example of an AI-powered virtual assistant?
A. Netflix
B. Google Assistant
C. Bitcoin
D. Tesla Autopilot

Answer 15

B. Google Assistant

Question 16

What is one of the main concerns regarding AI and privacy?
A. AI systems are too transparent.
B. AI systems often require large amounts of personal data.
C. AI systems always make biased decisions.
D. AI systems are too slow to be effective.

Answer 16

B. AI systems often require large amounts of personal data.

Question 17

Which technique in machine learning is primarily used for clustering and association tasks?
A. Supervised Learning
B. Reinforcement Learning
C. Unsupervised Learning
D. Deep Learning

Answer 17

C. Unsupervised Learning
Unsupervised learning in AI is a type of machine learning where the algorithm is trained on data without labeled responses. The goal is to find hidden patterns or structures within the data. Common techniques include clustering, where the data is grouped into clusters based on similarities, and association, which identifies relationships between variables in large datasets. This approach is useful for discovering insights and making sense of large, unlabeled datasets.

Question 18

What type of neural network is commonly used in image recognition tasks?
A. Recurrent Neural Network (RNN)
B. Convolutional Neural Network (CNN)
C. Feedforward Neural Network (FNN)
D. Generative Adversarial Network (GAN)

Answer 18

B. Convolutional Neural Network (CNN)
A Convolutional Neural Network (CNN) is a type of artificial intelligence specifically designed to process and recognize visual information, like images and videos.

Question 19

Which AI application involves predicting user preferences to recommend products or content?
A. Fraud detection systems
B. Recommendation systems
C. Autonomous navigation systems
D. Diagnostic tools in healthcare

Answer 19

B. Recommendation systems
A recommendation system is a type of AI that helps suggest products, services, or content to users based on their preferences and behaviors. It’s used by companies like Amazon, Netflix, and Spotify to provide personalized recommendations to their users.

Question 20

What is a significant challenge in ensuring transparency in AI systems?
A. AI systems are too simple.
B. AI decisions are often complex and opaque.
C. AI always provides explainable results.
D. AI systems never use deep learning models.

Answer 20

B. AI decisions are often complex and opaque.