Artificial Intelligence MCQ Test: Artificial Intelligence MCQs - Practice Questions
1. Which type of machine learning involves making decisions based on historical data patterns?
2. Which AI approach aims to mimic human intelligence by creating a virtual brain?
3. In AI, what is the purpose of a cost function during training?
4. What is the role of transformers in natural language processing models?
5. Which type of learning involves a model learning from labeled examples?
6. What is the role of algorithms in AI?
7. In deep learning, what is the role of a hyperparameter tuning algorithm?
8. Which AI technique involves the use of heuristics to solve problems?
9. Which type of neural network architecture is suitable for image recognition tasks?
10. What is the primary goal of model distillation in machine learning?
11. Which type of neural network architecture is designed to imitate the human brain's interconnected neurons?
12. Which algorithm is commonly used for text classification tasks?
13. Which of the following is an example of supervised learning?
14. In machine learning, what is the primary objective of cross-validation?
15. What is machine learning?
16. Which AI paradigm focuses on simulating the evolution of biological entities?
17. What is the primary objective of a variational autoencoder (VAE) in generative modeling?
18. In AI, what does NLP stand for?
19. Which type of neural network architecture is specifically designed for sequence-to-sequence tasks such as language translation?
20. What is the role of hyperparameters in the training of machine learning models?
21. What is the term for an AI system improving its performance without explicit programming?
22. In the context of reinforcement learning, what does the term 'exploration-exploitation dilemma' refer to?
23. Which of the following is a common application of AI in everyday life?
24. Which type of AI system operates solely based on predefined rules?
25. What is the primary challenge addressed by the k-nearest neighbors (KNN) algorithm?
26. In AI, what does the term 'overfitting' refer to?
27. In AI, what does the term 'reinforcement' refer to?
28. What is the significance of the 'vanishing gradient problem' in deep learning?
29. Which AI concept involves machines understanding and interpreting human language?
30. Which type of machine learning is often associated with clustering and pattern recognition?