What is the primary goal of problem solving in computational thinking?

• To create new programming languages.

• To memorize algorithms for future use.

• To break down complex problems into manageable parts.

• To avoid any form of abstraction in thinking.

Define decomposition in the context of problem solving.

• Decomposition is the process of ignoring complex problems and focusing on the outcome.

• Decomposition is the process of breaking a complex problem into smaller, manageable sub-problems.

• Decomposition refers to the final step in problem-solving where solutions are combined.

• Decomposition is the act of solving a problem without breaking it down.

How does abstraction help in simplifying complex problems?

• Abstraction helps in simplifying complex problems by focusing on essential features and breaking them into manageable parts.

• Abstraction complicates problems by adding unnecessary details.

• Abstraction eliminates all features of a problem, making it unrecognizable.

• Abstraction is only useful for visual representation, not for problem-solving.

What are control structures and why are they important in programming?

• Control structures are primarily for user interface design.

• Control structures are essential in programming as they enable decision-making and repetition, allowing for more complex and efficient algorithms.

• Control structures are irrelevant in modern programming languages.

• Control structures are only used for data storage.

List the main types of control structures used in programming languages.

• Function, Exception, Variable

• Loop, Condition, Array

• Sequential, Selection, Iteration

• Input, Output, Class

Explain the difference between a variable and a constant in programming.

• A variable is used for functions, while a constant is used for loops.

• A variable is a fixed value, while a constant can change.

• A variable can change its value, while a constant cannot.

• Both variables and constants can change their values.

What are the common data types used in programming languages?

• Dictionaries, functions, modules, classes

• Graphs, trees, queues, stacks

• Integers, floats, strings, booleans, arrays, objects

• Characters, lists, tuples, sets

How does code optimization improve program performance?

• Code optimization has no effect on resource usage.

• Code optimization makes programs harder to read.

• Code optimization enhances performance by making programs run faster and use fewer resources.

• Code optimization increases the size of the program.

What is pseudo code and how is it used in programming?

• Pseudo code is a graphical representation of code used in software design.

• Pseudo code is a programming language used for compiling software.

• Pseudo code is a simplified, human-readable version of programming code used to outline algorithms.

• Pseudo code is a type of error in programming that needs fixing.

Describe the purpose of a flow chart in the problem-solving process.

• To list all possible solutions without analysis

• The purpose of a flow chart in the problem-solving process is to provide a visual representation of the steps involved, facilitating understanding and analysis.

• To create a detailed report of the problem

• To serve as a decorative element in presentations