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.

Sample questions

1. What is Artificial Intelligence?

   1. A form of digital entertainment
   2. A branch of science dealing with data collection
   3. A field of computer science focused on creating intelligent machines
   4. A new software development methodology
   Show answer

   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?

   1. Waterfall model
   2. Machine learning
   3. Prototyping
   4. Systems architecture
   Show answer

   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?

   1. AI is faster
   2. Conventional programs do not use hardware
   3. AI can learn and adapt
   4. Conventional programming does not use algorithms
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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?

   1. To measure a computer's processor speed
   2. To evaluate a machine's ability to exhibit intelligent behavior
   3. To test network security
   4. To assess software usability
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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?

   1. It's used as a backup
   2. Provides input for learning and decision making
   3. Data is irrelevant for AI development
   4. Acts only as storage memory
   Show answer

   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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