Computer 9th Chap 2 : Topic 2.7 - Maryam Publications

Computer Chapter 2 : Topic 2.7

Solve simple and complex problems computationally.

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Which statement best explains the overall role of computational thinking in solving computer science problems effectively?

A) It replaces computer hardware requirements completely

B) It removes the need for algorithms in programming

C) It provides a structured approach to break and solve complex problems logically

D) It focuses only on memorizing programming syntax

2 / 20

How does computational thinking primarily contribute to the development of efficient computer programs in modern systems?

A) By encouraging systematic analysis and step-by-step solution design

B) By increasing randomness in program execution

C) By avoiding the use of inputs and outputs

D) By eliminating the need for problem understanding

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Which aspect of computational thinking is most responsible for breaking complex problems into smaller parts?

A) Debugging

B) Pattern recognition

C) Compilation

D) Decomposition

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Why is abstraction an important component of computational thinking in computer science problem-solving?

A) It replaces the need for input data

B) It adds unnecessary details to a solution

C) It focuses only on essential information while ignoring irrelevant details

D) It eliminates logical thinking

5 / 20

What role does pattern recognition play in computational thinking during problem-solving?

A) It identifies similarities between problems to apply known solutions

B) It focuses on writing code directly

C) It removes the need for algorithms

D) It increases system randomness

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Which stage of computational thinking involves designing step-by-step instructions to solve a problem?

A) Algorithm design

B) Abstraction

C) Pattern deletion

D) Hardware mapping

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How does computational thinking improve problem-solving efficiency in computer science systems?

A) By organizing problems into logical, manageable structures

B) By increasing complexity of programs

C) By avoiding analysis of problems

D) By eliminating testing phases

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Which of the following best describes the role of computational thinking in software development?

A) It replaces programming languages completely

B) It focuses only on hardware design

C) It guides the logical design and structure of software solutions

D) It removes the need for debugging

9 / 20

Why is computational thinking important before writing a computer program?

A) It ensures hardware compatibility

B) It helps understand and structure the problem logically

C) It eliminates the need for algorithms

D) It directly produces program output

10 / 20

Which real-world system best demonstrates the role of computational thinking in computer science?

A) Paper-based record keeping

B) Random manual calculations without logic

C) GPS navigation system calculating shortest routes

D) Handwritten notes without processing

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What is the role of logical thinking within computational thinking?

A) It avoids use of algorithms

B) It removes need for data processing

C) It increases randomness in outputs

D) It helps make correct decisions based on facts and conditions

12 / 20

How does computational thinking support algorithm development?

A) By replacing algorithms completely

B) By providing structured steps for designing efficient solutions

C) By ignoring input-output relationships

D) By removing need for problem analysis

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Which of the following is NOT a role of computational thinking in computer science?

A) Pattern recognition

B) Problem decomposition

C) Random guessing of solutions

D) Algorithm design

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Why is computational thinking considered essential in modern digital systems?

A) It avoids data usage

B) It eliminates the need for users

C) It removes programming requirements completely

D) It enables efficient and logical problem-solving in computing systems

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How does computational thinking improve debugging in software systems?

A) By increasing code randomness

B) By breaking systems into smaller parts for easier error detection

C) By removing errors automatically

D) By avoiding program testing

16 / 20

Which principle of computational thinking helps in simplifying complex computer science problems?

A) Encryption

B) Compilation

C) Random selection

D) Abstraction

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What is the relationship between computational thinking and real-world problem-solving?

A) They are unrelated concepts

B) Computational thinking provides structured methods to solve real-world problems logically

C) It replaces human decision-making completely

D) Real-world problems cannot be solved using computation

18 / 20

How does pattern recognition in computational thinking help in computer science?

A) It increases system errors

B) It helps reuse solutions for similar types of problems

C) It removes need for algorithms

D) It avoids data analysis

19 / 20

What is the ultimate goal of computational thinking in computer science education?

A) Increasing hardware performance

B) Memorizing code syntax

C) Avoiding use of computers

D) Developing structured and logical problem-solving skills

20 / 20

Why is computational thinking often described as a foundation of computer science?

A) Because it provides core methods for analyzing and solving computational problems

B) Because it eliminates algorithms

C) Because it focuses only on hardware design

D) Because it replaces programming languages

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