Class 10: Chapter 4 Computer Science MCQs

Practice solved MCQs on Data Science and Analysis from Class 10 Computer Science FBISE syllabus.

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Computer Science: Class 10 Chapter 4 MCQ Guide

Q1: Which of the following is the primary benefit of integrating Mathematics and Statistics with Computer Science in Data Science?

  • a) Improved data visualization
  • b) Better forecasting
  • c) Increased accuracy
  • d) Better decision making

Answer: d) Better decision making

Q2: Which of the following best describes the relationship between Data Science and Artificial Intelligence?

  • a) Data Science is a subset of Artificial Intelligence
  • b) Artificial Intelligence is a tool used in Data Science
  • c) Data Science and Artificial Intelligence are unrelated
  • d) Data Science enables Artificial Intelligence

Answer: a) Data Science is a subset of Artificial Intelligence

Q3: The Turing Test, proposed by Alan Turing in 1950, measures a machine’s ability to exhibit intelligent behavior. Which of the following is the fundamental assumption underlies this test?

  • a) Humans are better
  • b) Machines are equal
  • c) Intelligence levels vary
  • d) Machines copy humans

Answer: d) Machines copy humans

Q4: Which of the following should be considered critically while developing AI-powered chatbots and virtual assistants?

  • a) User experience
  • b) Data security
  • c) Contextual awareness
  • d) Emotional intelligence

Answer: b) Data security

Q5: What ethical consideration arises from the integration of Artificial Intelligence (AI) into daily life devices?

  • a) Job displacement due to automation
  • b) Increased energy consumption
  • c) Improved customer service
  • d) Enhanced data security

Answer: a) Job displacement due to automation

Q6: Which of the following fields of Artificial Intelligence (AI) enables smartphones to recognize faces and unlock devices?

  • a) NLP
  • b) Computer vision
  • c) Deep learning
  • d) Neural networks

Answer: b) Computer vision

Q7: A company wants to develop a system that categorizes customer feedback into positive, negative, or neutral. Which learning model would be most suitable?

  • a) Supervised learning
  • b) Unsupervised learning
  • c) Reinforcement learning
  • d) Deep learning

Answer: a) Supervised learning

Q8: In a Reinforcement Learning model, what is the primary function of rewards and penalties provided as feedback to the agent?

  • a) Labelling data
  • b) Evaluating performance
  • c) Improving action choices
  • d) Classifying outcomes

Answer: c) Improving action choices

Q9: Which stage of the data science life cycle ensures the model’s accuracy, reliability, and compliance with privacy rules?

  • a) Model Deployment
  • b) Model Evaluation
  • c) Data Analysis
  • d) Maintenance and Monitoring

Answer: b) Model Evaluation

Q10: Which of the following is the key characteristic of the “Data Cleaning” stage in the data science life cycle?

  • a) Data collection
  • b) Error removal and data organization
  • c) Pattern identification
  • d) Model deployment

Answer: b) Error removal and data organization