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Ch 2

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30
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1

Algorithm dry run helps to:

2

Which of the following is an example of logical reasoning?

3

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

4

Logical reasoning mainly deals with:

5

Debugging is the process of:

6

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

7

Why is abstraction important?

8

Which error occurs due to wrong logic?

9

Which principle helps in solving basic counting problems?

10

Modular design refers to:

11

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

12

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

13

What is an algorithm dry run?

14

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

15

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

16

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

17

Algorithms should be written in:

18

Counting problems are mainly used to:

19

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

20

A generalized solution means:

21

Logical reasoning in computing helps to:

22

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

23

The fundamental counting principle is used when:

24

Algorithms are independent of:

25

What is the first step in solving a computational problem?

26

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

27

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

28

Which property ensures same output for same input?

29

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

30

Which approach focuses on solving a class of problems?

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