Computer 9th Chap 2 : Topic 2.2 - Maryam Publications

Computer Chapter 2 : Topic 2.2

Solve simple and complex problems computationally.

1 / 15

Which statement best explains how logical thinking contributes to solving computational problems in computer science systems?

A) It allows random guessing of solutions without analysis

B) It focuses on reasoning based on facts and structured decision-making

C) It eliminates the need for data in problem solving

D) It replaces all algorithms with manual calculations

2 / 15

In computational thinking, what is the primary role of logical thinking when analyzing a complex problem scenario?

A) To evaluate conditions and make rational decisions based on evidence

B) To remove step-by-step problem solving entirely

C) To ignore input data and focus only on output

D) To increase the complexity of the problem artificially

3 / 15

Which situation best demonstrates logical thinking in a computer-based system decision process?

A) Printing output without input validation

B) Determining whether a password is correct before granting access

C) Ignoring all user inputs in system design

D) Selecting a random number without checking conditions

4 / 15

Why is logical thinking important in designing error-free computer programs?

A) It removes the need for testing programs

B) It ensures decisions are made based on correct conditions and rules

C) It eliminates algorithms from coding

D) It avoids the use of variables completely

5 / 15

Which of the following best represents algorithmic thinking in computational problem solving?

A) Randomly changing program outputs until correct

B) Writing step-by-step instructions to solve a problem

C) Solving a problem without any structured method

D) Avoiding use of procedures or functions

6 / 15

What is the key feature of algorithmic thinking in computer science problem-solving processes?

A) It provides a sequence of logical steps to solve a problem

B) It focuses on memorizing programming syntax only

C) It avoids breaking problems into smaller parts

D) It depends only on hardware performance

7 / 15

Which activity best shows algorithmic thinking in everyday computing systems?

A) Watching videos without interaction

B) Following a recipe step-by-step to bake a cake

C) Browsing the internet randomly without purpose

D) Ignoring instructions while using software

8 / 15

How does algorithmic thinking help in designing computer programs efficiently?

A) By increasing unnecessary complexity in code

B) By avoiding structured planning before coding

C) By removing the need for input and output

D) By providing clear steps that can be translated into programming logic

9 / 15

Which of the following best distinguishes logical thinking from algorithmic thinking?

A) Logical thinking focuses on reasoning, while algorithmic thinking focuses on step-by-step solutions

B) Logical thinking ignores reasoning while algorithmic thinking uses it

C) Algorithmic thinking avoids structured methods

D) Both are unrelated concepts in computer science

10 / 15

In a traffic control system, which aspect mainly represents logical thinking?

A) Deciding whether to stop or allow traffic based on sensor data

B) Writing code for system hardware only

C) Designing road maps manually

D) Increasing number of traffic signals randomly

11 / 15

What is the main purpose of algorithmic thinking before writing a computer program?

A) To design a clear sequence of steps for solving a problem

B) To increase system randomness

C) To remove the need for problem analysis

D) To avoid using programming languages

12 / 15

Why are logical thinking and algorithmic thinking considered complementary in computational problem-solving?

A) Because logic helps decide, while algorithms define steps to execute decisions

B) Because both eliminate the need for data processing

C) Because both replace programming languages

D) Because neither requires structured thinking

13 / 15

Which scenario best reflects the use of algorithmic thinking in real-world systems?

A) Ignoring user input in applications

B) Random selection of system outputs

C) Guessing outcomes without data analysis

D) Designing navigation steps for a GPS system to reach a destination

14 / 15

What would be the result of applying only logical thinking without algorithmic thinking in programming tasks?

A) Faster hardware processing

B) Automatic software generation

C) Fully developed and structured programs

D) Correct reasoning but no clear execution steps for implementation

15 / 15

Which of the following best shows integration of both logical and algorithmic thinking in a system?

A) A system that runs without input or processing rules

B) A program that outputs random values

C) A calculator that decides correct operation and executes step-by-step computation

D) A system that ignores user commands

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