Artificial Intelligence (AI) Multiple Choice Questions

Are you ready to test your knowledge of artificial intelligence (AI)? This set of 50 multiple-choice questions covers a variety of AI topics, including machine learning, neural networks, natural language processing, and more. Whether you’re a student, a professional, or just interested in AI, these questions will help you review AI concepts and discover new ones.

Test Your Knowledge with 50 Artificial Intelligence (AI) Multiple-Choice Questions

Each question has four possibilities, and the correct answer is supplied so you can double-check your responses.

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#1. What is Artificial Intelligence .............................?

#2. Which of the following is not an application of AI?

#3. Which technique is used in AI for making machines learn from past experiences?

#4. Who is known as the father of Artificial Intelligence?

#5. What is a neural network?

#6. What does NLP stand for in the context of AI?

#7. Which of the following is a type of reinforcement learning?

#8. Which programming language is most commonly used for AI and Machine Learning?

#9. In which type of AI system do the machines have the ability to perform tasks without human intervention?

#10. What is the main goal of AI?

#11. Which of the following is an AI technique for solving problems by mimicking the process of natural evolution?

#12. Which component of AI deals with the ability of a system to adjust its behavior based on the results of previous actions?

#13. Which of the following is a goal of machine learning?

#14. Which AI approach is based on the idea that intelligent behavior can be achieved by manipulating symbols and rules?

#15. What does the Turing Test evaluate?

#16. Which of the following is not a type of machine learning?

#17. Which algorithm is used for classification and regression in machine learning?

#18. What is overfitting in the context of machine learning?

#19. Which of the following is a measure of how well a model generalizes to new data?

#20. What is the purpose of cross-validation in machine learning?

#21. Which of the following is an example of a generative model in AI?

#22. What is the main difference between supervised and unsupervised learning?

#23. Which AI technique is based on the concept of reward and punishment?

#24. What is the purpose of a loss function in machine learning?

#25. Which of the following is a popular library for machine learning in Python?

#26. Which of the following is not a common activation function used in neural networks?

#27. What is the purpose of an optimizer in training a neural network?

#28. Which of the following is an unsupervised learning algorithm?

#29. Which term refers to the ability of an AI system to explain its reasoning and decisions?

#30. What is the main advantage of deep learning over traditional machine learning algorithms?

#31. Which of the following is a popular framework for deep learning?

#32. What is transfer learning in the context of deep learning?

#33. Which of the following is a common method for preventing overfitting in machine learning models?

#34. What is the purpose of a confusion matrix in evaluating classification models?

#35. Which of the following is a type of recurrent neural network (RNN)?

#36. What is the main application of convolutional neural networks (CNNs)?

#37. Which AI technique involves training two neural networks to compete with each other?

#38. What is the purpose of an embedding layer in neural networks?

#39. Which of the following is an example of a pre-trained language model?

#40. Which of the following is not a common evaluation metric for classification models?

#41. What is the main purpose of feature scaling in machine learning?

#42. Which of the following is a technique used for dimensionality reduction?

#43. Which AI subfield focuses on enabling machines to understand and generate human language?

#44. What is the purpose of backpropagation in training neural networks?

#45. Which of the following is an ensemble learning method?

#46. What is the main difference between a shallow and a deep neural network?

#47. Which of the following is a common method for optimizing hyper parameters in machine learning models?

#48. Which AI technique is used to find the shortest path in a graph?

#49. What is the main goal of unsupervised learning?

#50. Which of the following is a common application of AI in healthcare?

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