Artificial intelligence common interview questions

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  1. What is artificial intelligence? a) The field of computer science that focuses on building systems and algorithms that can perform tasks that would normally require human intelligence to complete. - Answer b) The field of computer science that focuses on building systems that can only perform pre-defined tasks. c) The field of computer science that focuses on building systems that can only perform tasks based on rules. d) The field of computer science that focuses on building systems that can only perform tasks based on mathematical models.

  2. What are the types of artificial intelligence? a) Reactive machines, limited memory, theory of mind, self-aware - Answer b) Rule-based systems, decision trees, support vector machines, deep learning c) Reactive machines, decision trees, support vector machines, deep learning d) Rule-based systems, limited memory, theory of mind, self-aware

  3. What is the difference between narrow AI and general AI? a) Narrow AI is designed to perform specific tasks, while general AI is designed to perform a wide range of tasks that require human-like intelligence. - Answer b) Narrow AI is designed to perform a wide range of tasks that require human-like intelligence, while general AI is designed to perform specific tasks. c) Narrow AI and general AI are the same thing. d) Narrow AI is designed to perform specific tasks using machine learning algorithms, while general AI is designed to perform specific tasks using rule-based systems.

  4. What is the difference between supervised and unsupervised learning in AI? a) Supervised learning is a type of AI where the algorithm is trained using labeled data to make predictions on new, unseen data, while unsupervised learning is a type of AI where the algorithm is trained using only unlabeled data to identify patterns and relationships in the data. - Answer b) Supervised learning is a type of AI where the algorithm is trained using only unlabeled data to identify patterns and relationships in the data, while unsupervised learning is a type of AI where the algorithm is trained using labeled data to make predictions on new, unseen data. c) Supervised learning is a type of AI where the algorithm is trained using a combination of labeled and unlabeled data, while unsupervised learning is a type of AI where the algorithm is trained using only labeled data. d) Supervised learning is a type of AI where the algorithm is not trained at all, while unsupervised learning is a type of AI where the algorithm is trained using only unlabeled data.

  5. What is reinforcement learning in AI? a) Reinforcement learning is a type of AI where an agent learns to make decisions by performing actions in an environment and receiving feedback in the form of rewards or penalties. - Answer b) Reinforcement learning is a type of AI where an agent learns to make decisions by observing other agents perform actions in an environment. c) Reinforcement learning is a type of AI where an agent is pre-programmed with a set of rules for making decisions. d) Reinforcement learning is a type of AI where an agent learns to make decisions by performing actions in a simulated environment.

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