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.
Results
Pradeep Maurya is the Professional Web Developer & Designer and the Founder of “Tutorials website”. He lives in Delhi and loves to be a self-dependent person. As an owner, he is trying his best to improve this platform day by day. His passion, dedication and quick decision making ability to stand apart from others. He’s an avid blogger and writes on the publications like Dzone, e27.co
Pradeep Maurya is the Professional Web Developer & Designer and the Founder of “Tutorials website”. He lives in Delhi and loves to be a self-dependent person. As an owner, he is trying his best to improve this platform day by day. His passion, dedication and quick decision making ability to stand apart from others. He’s an avid blogger and writes on the publications like Dzone, e27.co
#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?
Pradeep Maurya is the Professional Web Developer & Designer and the Founder of “Tutorials website”. He lives in Delhi and loves to be a self-dependent person. As an owner, he is trying his best to improve this platform day by day. His passion, dedication and quick decision making ability to stand apart from others. He’s an avid blogger and writes on the publications like Dzone, e27.co
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