Computer 9th Chap 2 : Topic 2.1 - Maryam Publications

Computer Chapter 2 : Topic 2.1

Solve simple and complex problems computationally.

1 / 15

Why is computational thinking considered essential when solving real-world computer science problems effectively?

A) It eliminates the need for programming languages completely

B) It helps in breaking complex problems into logical and manageable steps

C) It replaces the need for algorithms in all systems

D) It focuses only on memorizing computer commands

2 / 15

Which outcome best shows the importance of problem-solving skills in computer science applications today?

A) Avoiding use of computers in decision-making tasks

B) Producing random outputs without structured logic

C) Increasing complexity of programs unnecessarily

D) Developing efficient solutions for real-life computational challenges

3 / 15

How does computational thinking improve software development processes in modern computer systems?

A) By eliminating algorithms from program design

B) By focusing only on hardware optimization

C) By removing the need for testing and debugging

D) By encouraging structured design and step-by-step solution planning

4 / 15

What is the main advantage of applying computational thinking before writing a computer program?

A) It guarantees that no errors will occur in programming

B) It ensures faster hardware processing speed

C) It removes the need for input and output data

D) It helps understand and organize the problem clearly before coding

5 / 15

Why is problem-solving considered a core skill in computer science education and industry practices?

A) Because it focuses only on theoretical knowledge

B) Because it replaces the need for programming languages

C) Because it helps develop practical solutions to computational challenges

D) Because it avoids logical reasoning in systems

6 / 15

Which scenario best represents the importance of computational thinking in daily digital systems?

A) Designing a navigation system that finds the shortest route automatically

B) Random browsing on social media without logic

C) Writing text without saving it digitally

D) Watching videos without data processing

7 / 15

How does computational thinking contribute to reducing errors in program development?

A) By breaking problems into smaller parts for easier verification

B) By increasing program complexity intentionally

C) By avoiding the use of any structured logic

D) By removing debugging processes

8 / 15

Which of the following best describes the role of problem-solving in artificial intelligence systems?

A) It prevents systems from learning new patterns

B) It limits systems to fixed manual responses only

C) It removes the need for data analysis

D) It enables systems to make decisions based on logical reasoning

9 / 15

Why is computational thinking important in designing efficient algorithms?

A) It ensures algorithms are written randomly without structure

B) It avoids the use of programming concepts

C) It removes the need for problem analysis

D) It helps design step-by-step logical and optimized solutions

10 / 15

What is the main educational benefit of learning computational thinking in early computer science studies?

A) It focuses only on memorizing programming syntax

B) It discourages students from using computers

C) It replaces mathematics completely

D) It develops logical reasoning and structured problem-solving ability

11 / 15

How does problem-solving in computer science help in real-world industries such as healthcare or banking?

A) By avoiding use of technology in decision-making

B) By eliminating data processing requirements

C) By increasing manual paperwork in systems

D) By creating automated and efficient digital solutions

12 / 15

What happens when computational thinking is not applied in software development projects?

A) Software development becomes fully automated

B) Problems become disorganized and difficult to manage

C) Systems become more efficient automatically

D) Programs run without any logic requirements

13 / 15

Which activity best reflects computational thinking in solving a transportation problem?

A) Avoiding calculation of distance or time

B) Analyzing routes, traffic patterns, and selecting optimal paths

C) Ignoring traffic data and guessing routes randomly

D) Using only road maps without logic

14 / 15

Why is structured problem-solving important when developing large software systems?

A) It increases system randomness

B) It prevents use of any programming tools

C) It allows breaking systems into manageable modules for easier development

D) It removes the need for collaboration

15 / 15

What is the key reason computational thinking is widely used in modern technology systems?

A) It provides a universal method for solving complex problems logically

B) It avoids using algorithms in computing

C) It replaces all human decision-making processes

D) It removes the need for data analysis completely

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