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Overview and Applications Quiz - CBSE Class 10 Computer Science

Free practice quiz: Overview and Applications (CBSE Class 10 Computer Science). 20 multiple-choice questions with answers and explanations. Play online, no sign-up needed.

This CBSE Class 10 Computer Science practice quiz has 20 multiple-choice questions on Overview and Applications, and 20 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.

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Sample questions

  1. What is Artificial Intelligence?

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    Answer: C. A field of computer science focused on creating intelligent machines

    Artificial Intelligence (AI) is a branch of computer science that aims to create machines capable of intelligent behavior.

  2. Which is a common technique used in AI?

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    Answer: B. Machine learning

    Machine learning is a core AI technique where systems learn from data to make decisions.

  3. What distinguishes AI from conventional programming?

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    Answer: C. AI can learn and adapt

    Unlike traditional software, AI can learn from data and improve its performance over time, which is a key distinction.

  4. What is the Turing Test used for?

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    Answer: B. To evaluate a machine's ability to exhibit intelligent behavior

    The Turing Test assesses whether a machine's behavior can be indistinguishable from a human's.

  5. What is the role of data in AI?

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    Answer: B. Provides input for learning and decision making

    Data is fundamental in AI as it trains models, guiding them to learn patterns, make decisions, and articulate predictions.

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More questions in this quiz

Answers and explanations are in the full quiz.

  1. Which of the following is an application of AI?
  2. What is the main goal of AI?
  3. Which of the following fields contribute to AI?
  4. How does AI impact everyday life?
  5. What is an intelligent agent in AI?
  6. Which AI application deals with interpreting human language?
  7. In AI, what is a neural network?
  8. What is Deep Learning in AI?
  9. Which AI technique is used for decision-making tasks?
  10. How are AI models trained?
  11. What is an example of weak AI?
  12. What are AI ethics concerned with?
  13. Why is reinforcement learning important in AI?
  14. Which of the following is a challenge faced by AI development?
  15. What is the singularity in the context of AI?

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