Introduction to Artificial Intelligence Quiz - CBSE Class 12 Computer Science

Free practice quiz: Introduction to Artificial Intelligence (CBSE Class 12 Computer Science). 16 multiple-choice questions with answers and explanations. Play online, no sign-up needed.

This CBSE Class 12 Computer Science practice quiz has 16 multiple-choice questions on Introduction to Artificial Intelligence, and 16 of them come with an explanation. Try the 5 sample questions below (tap an option to check yourself), then play the full quiz online. No sign-up needed.

Sample questions

1. What is Artificial Intelligence (AI)?

   1. The ability of a machine to mimic human intelligence
   2. A type of computer hardware
   3. A programming language
   4. A specific algorithm for sorting data
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   Answer: A. The ability of a machine to mimic human intelligence

   AI is defined by its ability to simulate human cognitive functions, such as learning, problem-solving, and decision-making.

2. What is machine learning in the context of AI?

   1. A type of AI that allows systems to learn from data without explicit programming.
   2. A specific programming language used for AI development.
   3. A hardware component essential for AI systems.
   4. A theoretical concept with no practical applications.
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   Answer: A. A type of AI that allows systems to learn from data without explicit programming.

   Machine learning enables AI systems to learn patterns and make predictions from data, eliminating the need for manual rule-setting.

3. Explain the concept of 'expert systems' within AI.

   1. AI systems designed to solve complex problems by mimicking the decision-making of human experts.
   2. Systems that only work with expert programmers.
   3. AI systems that can only be used by experts.
   4. A type of software that manages expert employees.
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   Answer: A. AI systems designed to solve complex problems by mimicking the decision-making of human experts.

   Expert systems leverage human knowledge to solve problems in specific domains, using rules and inference engines.

4. Analyze the impact of AI on various sectors like healthcare, finance, and transportation.

   1. AI is revolutionizing healthcare through diagnostics, drug discovery, and personalized medicine; finance through fraud detection, algorithmic trading, and risk management; and transportation through autonomous vehicles and traffic optimization.
   2. AI has only limited impact on these sectors.
   3. AI's impact is only negative.
   4. AI only affects these sectors in a limited way.
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   Answer: A. AI is revolutionizing healthcare through diagnostics, drug discovery, and personalized medicine; finance through fraud detection, algorithmic trading, and risk management; and transportation through autonomous vehicles and traffic optimization.

   AI is transforming many sectors by automating tasks, improving efficiency, and providing new insights.

5. Compare and contrast supervised, unsupervised, and reinforcement learning in machine learning.

   1. Supervised learning uses labeled data, unsupervised learning uses unlabeled data, and reinforcement learning uses feedback from an environment to learn optimal actions.
   2. All three are the same.
   3. Only supervised learning is important.
   4. Only unsupervised learning is important.
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   Answer: A. Supervised learning uses labeled data, unsupervised learning uses unlabeled data, and reinforcement learning uses feedback from an environment to learn optimal actions.

   These three learning paradigms represent different approaches to training machine learning models.

More questions in this quiz

Answers and explanations are in the full quiz.

1. Which of the following is NOT a key characteristic of AI?
2. Explain the difference between narrow/weak AI and general/strong AI.
3. Describe the Turing Test and its significance in AI.
4. What are some ethical concerns surrounding the development and use of AI?
5. Discuss the role of natural language processing (NLP) in AI.
6. How does AI contribute to advancements in computer vision?
7. What are some of the challenges in developing truly intelligent AI systems?
8. Discuss the potential impact of artificial general intelligence (AGI) on society, considering both positive and negative possibilities.
9. Explain the concept of a 'knowledge graph' and its applications in AI.
10. Discuss the role of deep learning in advancing AI capabilities, providing specific examples.
11. Critically evaluate the hype surrounding AI, distinguishing between realistic expectations and exaggerated claims.

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