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 helps in breaking complex problems into logical and manageable steps

B) It eliminates the need for programming languages completely

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) Developing efficient solutions for real-life computational challenges

B) Avoiding use of computers in decision-making tasks

C) Increasing complexity of programs unnecessarily

D) Producing random outputs without structured logic

3 / 15

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

A) By focusing only on hardware optimization

B) By eliminating algorithms from program design

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

D) By removing the need for testing and debugging

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) Writing text without saving it digitally

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

C) Random browsing on social media without logic

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 removing debugging processes

C) By avoiding the use of any structured logic

D) By increasing program complexity intentionally

8 / 15

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

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

B) It prevents systems from learning new patterns

C) It limits systems to fixed manual responses only

D) It removes the need for data analysis

9 / 15

Why is computational thinking important in designing efficient algorithms?

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

B) It avoids the use of programming concepts

C) It ensures algorithms are written randomly without structure

D) It removes the need for problem analysis

10 / 15

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

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

B) It replaces mathematics completely

C) It focuses only on memorizing programming syntax

D) It discourages students from using computers

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 increasing manual paperwork in systems

C) By eliminating data processing requirements

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) Systems become more efficient automatically

C) Programs run without any logic requirements

D) Problems become disorganized and difficult to manage

13 / 15

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

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

B) Using only road maps without logic

C) Avoiding calculation of distance or time

D) Ignoring traffic data and guessing routes randomly

14 / 15

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

A) It prevents use of any programming tools

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

C) It increases system randomness

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 avoids using algorithms in computing

B) It removes the need for data analysis completely

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

D) It replaces all human decision-making processes

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