1. Data science is an interdisciplinary field of mathematics, statistics and
Answer: B. computer science
Computer Science Class 10 Unit 4: Data and Analysis MCQs
72 multiple choice questions with the correct answer for each. Tap an option to check yourself, or switch on "Show all answers". This is page 1 of 2.
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2. Data science can work with
Answer: C. structured as well as unstructured data
3. Predicting a disease from X-rays is a use of data science in
Answer: A. healthcare
4. Fraud detection in banks is a use of data science in
Answer: D. finance
5. A recommender system is a tool that
Answer: C. recommends products, services or information based on past behaviour and interests
6. Sentiment analysis identifies
Answer: A. positive, negative or neutral sentiments in reviews
7. In 1950, the Turing Test was proposed by
Answer: D. Alan Turing
8. The Turing Test measures
Answer: B. a machine's ability to exhibit intelligent behaviour
9. Artificial Intelligence is the ability of a machine to
Answer: A. exhibit human-like behaviour such as problem solving and understanding language
10. NLP stands for
Answer: D. Natural Language Processing
11. ChatGPT and chatbots are examples of
Answer: C. NLP
12. The face recognition feature in smartphones uses
Answer: B. computer vision
13. Which AI field enables smartphones to recognise faces and unlock devices?
Answer: B. Computer vision
14. Automation industry uses computers and robots to perform tasks
Answer: D. automatically without human intervention
15. The entire scope of data science and AI is based on algorithms developed in
Answer: C. machine learning
16. Automated fraud detection is an example of
Answer: A. machine learning
17. Machine learning is a subset of
Answer: B. artificial intelligence
18. Which framework is important in machine learning?
Answer: C. TensorFlow
19. Deep learning uses layers of
Answer: D. artificial neural networks
20. A neural network is a system designed to work like
Answer: A. the human brain
21. The three models of machine learning are supervised, unsupervised and
Answer: D. reinforcement
22. In supervised learning, the machine is given
Answer: C. labelled data
23. Labelled data means
Answer: A. questions provided with their correct answers
24. In unsupervised learning, the machine is given
Answer: B. unlabelled data
25. Unsupervised learning identifies patterns and divides data into
Answer: A. groups based on similarities and differences
26. In reinforcement learning, machines are trained using
Answer: D. positive or negative feedback
27. The key terms of reinforcement learning are agent, environment, actions, rewards and
Answer: B. penalties
28. The primary function of rewards and penalties in reinforcement learning is
Answer: C. improving action choices
29. Learning to play chess by winning and losing moves is an example of
Answer: C. reinforcement learning
30. Training a toy robot to find its way out of a maze is
Answer: B. reinforcement learning
31. Sorting a basket of apples and bananas using given examples is
Answer: D. supervised learning
32. Grouping Lego blocks by colour without labels is
Answer: A. unsupervised learning
33. Categorising customer feedback into positive, negative or neutral (with labelled examples) suits
Answer: C. supervised learning
34. If an agent must achieve a goal, we use
Answer: D. reinforcement learning
35. In the machine learning process, cleaned data is first split into
Answer: B. training data and testing data
36. The model learns patterns in the
Answer: A. training set
37. The output of artificial intelligence systems is to
Answer: B. mimic human behaviour
38. The output of machine learning is
Answer: A. prediction and classification
39. The output of data science is
Answer: D. insight, reports and visualization
40. Churn prediction finds the possibility that
Answer: C. a customer will stop using a company's services or products
41. Keeping existing customers loyal is usually
Answer: C. more beneficial than getting new ones
42. Behavioral segmentation divides customers into groups based on their
Answer: D. behaviour
43. Data visualization is
Answer: A. the graphical representation of data and information
44. A bar chart is used to
Answer: B. compare discrete values
45. A line chart is used to display
Answer: D. trends of data over time
46. A pie chart represents
Answer: A. proportions of categories in a whole
47. A scatter plot displays
Answer: B. the relationship between numerical variables
48. A histogram shows
Answer: C. the distribution of a single numerical value
49. A box plot summarises data using
Answer: A. minimum, first quartile, median, third quartile and maximum
50. A box plot is also called
Answer: D. box-and-whisker plot
About Computer Science Class 10 Unit 4 MCQs (Federal Board)
These 72 Computer Science MCQs cover Class 10 Unit 4: Data and Analysis of the Federal Board (FBISE) SSC-II (Class 10) syllabus. They are SLO-based MCQs as per the new pattern for FBISE exams. Each question has four options and the correct answer is shown, so you can practise for the annual examination and find the topics you still need to revise. The questions are split over 2 pages of 50. Download the Data and Analysis MCQs as a PDF using the button at the top of this page.