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Ch 2

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1

What is a computing problem?

2

Which of the following best describes computational thinking?

3

Counting problems are mainly used to:

4

Which principle helps in solving basic counting problems?

5

The fundamental counting principle is used when:

6

What is an algorithm?

7

Which of the following is NOT a characteristic of an algorithm?

8

An algorithm must produce:

9

Which feature ensures an algorithm ends after a limited number of steps?

10

Logical reasoning in computing helps to:

11

Which of the following is an example of logical reasoning?

12

Standard algorithms are:

13

Which is a standard algorithm?

14

What is the first step in solving a computational problem?

15

Which step comes after designing an algorithm?

16

Abstraction in computing means:

17

Why is abstraction important?

18

A generalized solution means:

19

Which feature helps reuse a solution for different inputs?

20

Modular design refers to:

21

Main advantage of modular design is:

22

What is an algorithm dry run?

23

Algorithm dry run helps to:

24

An error in an algorithm means:

25

Which error occurs due to wrong logic?

26

Which error prevents a program from running?

27

Debugging is the process of:

28

Which tool is commonly used to represent algorithms?

29

Algorithms should be written in:

30

Which property ensures same output for same input?

31

A problem that can be divided into smaller parts supports:

32

Which step verifies correctness of an algorithm?

33

Counting principles are mainly used in:

34

Which concept hides implementation details?

35

Which approach focuses on solving a class of problems?

36

Logical reasoning mainly deals with:

37

Which of the following is NOT a step in algorithm design?

38

Errors found during dry run are mostly:

39

Which concept improves program readability?

40

A correct algorithm must be:

41

Which topic focuses on identifying mistakes?

42

Algorithms are independent of:

43

Which concept breaks a big problem into parts?

44

Which is the final step of problem solving?

45

What is the process of hiding complex details and showing only the essential features of a problem?

46

Which of the following is NOT a characteristic of a good algorithm?

47

What is the name of the process where you manually test an algorithm with sample data to check its logic?

48

Breaking down a large, complex problem into smaller, manageable parts is known as:

49

An error in the grammar or spelling rules of a programming language is called a:

50

A well-defined, step-by-step procedure to solve a specific problem is called:

51

What is the first and most important step in solving a computational problem?

52

A solution that can solve many different problems of the same type, not just one specific problem, is called a:

53

If a restaurant offers 4 types of main courses and 3 types of drinks, how many different meal combinations can be made?

54

Which of the following is a standard searching algorithm that works efficiently on a sorted list?

55

Which type of reasoning is used to draw a specific conclusion from a general statement or rule?

56

An error that causes the program to produce an incorrect result, but does not stop it from running, is called a:

57

What is the process of hiding complex details and showing only the essential features called?

58

Which characteristic of an algorithm means it must stop after a certain number of steps?

59

What is the main purpose of performing a dry run on an algorithm?

60

Which type of error is the most difficult to find because the program runs but produces incorrect results?

61

What is a finite set of clear, step-by-step instructions to solve a particular problem called?

62

If a restaurant offers 3 types of bread and 4 types of fillings for a sandwich, how many different sandwiches can be made?

63

Breaking down a large problem into smaller, more manageable sub-problems is known as what?

64

Creating a solution that works for a wide range of inputs, not just one specific case, is called:

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