Mastering Computational Thinking Concepts

What is the primary purpose of decomposition in problem solving?

• To combine multiple solutions into one

• To break down a complex problem into smaller, more manageable parts

• To identify patterns in data

• To abstract unnecessary details

Which of the following is an example of pattern recognition?

• Identifying the steps needed to solve a problem

• Recognising similar features in different problems

• Removing unnecessary details from a problem

• Testing a solution for errors

In programming, what does abstraction help achieve?

• It helps in debugging code

• It simplifies complex systems by focusing on the essential details

• It ensures that algorithms run faster

• It increases the complexity of a program

Which of the following is a key principle of algorithm design?

• Ensuring the algorithm is as complex as possible

• Making the algorithm easy to understand and implement

• Ignoring edge cases in the algorithm

• Designing the algorithm to be language-specific

What is the main goal of debugging in programming?

• To add new features to a program

• To find and fix errors in a program

• To optimise the speed of a program

• To rewrite the entire codebase

Which method is commonly used to test a program?

• Pattern recognition

• Unit testing

• Abstraction

• Decomposition

What is the purpose of evaluating a solution in computational thinking?

• To ensure the solution is as complex as possible

• To determine if the solution meets the requirements and is efficient

• To add more features to the solution

• To make the solution language-specific

Which of the following best describes the process of decomposition?

• Combining multiple algorithms into one

• Breaking down a task into smaller, more manageable tasks

• Identifying patterns in a dataset

• Abstracting unnecessary details from a problem

How does pattern recognition benefit problem solving?

• It helps in creating more complex problems

• It allows for the identification of similarities that can simplify problem solving

• It ensures that all details are considered

• It focuses on the differences between problems

What is a common outcome of abstraction in programming?

• Increased complexity

• Simplified code that focuses on key elements

• More detailed code

• Slower program execution