Question 1

What is computational thinking?

Accepted Answer

A way of approaching problems that is particularly useful in computing. It can also be useful for tackling many other kinds of problems.

Answer

A way of playing sports

Answer

A way of cooking recipes

Answer

A way of painting pictures

Question 2

What is pattern matching?

Accepted Answer

Identifying patterns and recognising when two patterns are similar.

Answer

Matching colors in an outfit

Answer

Matching shapes in a puzzle

Answer

Matching numbers in a sequence

Question 3

What is abstraction?

Accepted Answer

Ignoring irrelevant details and reducing a problem to its essential features.

Answer

Adding unnecessary details to a problem

Answer

Multiplying the complexity of a problem

Answer

Subtracting the essential features of a problem

Question 4

What is decomposition?

Accepted Answer

Breaking a complex task down into a set of smaller and simpler tasks.

Answer

Combining multiple tasks into one complex task

Answer

Expanding a simple task into a complex task

Answer

Leaving a task as it is without any modifications

Question 5

What are algorithms?

Accepted Answer

Using a sequence of steps to solve a problem.

Answer

Using random steps to solve a problem

Answer

Using one step to solve a problem

Answer

Using no steps to solve a problem

Question 6

What is binary?

Accepted Answer

A system of storing data using 1s and 0s.

Answer

A system of storing data using A and B

Answer

A system of storing data using 0s and F

Answer

A system of storing data using 2s and 3s

Question 7

What is hex?

Accepted Answer

A base16 system of storing data. 0 to F.

Answer

A base8 system of storing data. 0 to 7

Answer

A base10 system of storing data. 0 to 9

Answer

A base2 system of storing data. 0 and 1

Question 8

What is the purpose of pattern matching in computational thinking?

Accepted Answer

Identifying patterns and recognizing when two patterns are similar

Answer

Ignoring patterns altogether

Answer

Creating new patterns from scratch

Answer

Changing patterns to make them unrecognizable

Question 9

Why is decomposition important in problem-solving?

Accepted Answer

Breaking a complex task down into a set of smaller and simpler tasks

Answer

Ignoring complexity of tasks

Answer

Solving tasks in a single step

Answer

Making tasks more complex

Question 10

What is the role of algorithms in computational thinking?

Accepted Answer

Using a sequence of steps to solve a problem

Answer

Guessing random solutions

Answer

Solving problems instantaneously

Answer

Following no specific steps

Question 11

How can algorithmic thinking be applied in computer science?

Accepted Answer

By designing efficient algorithms to solve computational problems.

Answer

By guessing solutions randomly

Answer

By memorizing coding languages

Answer

By avoiding using computers

Question 12

Why is algorithmic thinking important in problem-solving?

Accepted Answer

It helps to break down complex problems into manageable steps.

Answer

It increases the complexity of problems

Answer

It has no impact on problem-solving

Answer

It makes problems harder to solve

Question 13

What is a key characteristic of algorithmic thinking?

Accepted Answer

The ability to repeat a series of steps to solve a problem

Answer

The use of trial and error

Answer

The avoidance of logical reasoning

Answer

The reliance on guesswork

Question 14

How does algorithmic thinking differ from creative thinking?

Accepted Answer

Algorithmic thinking follows a set of predefined steps to solve problems, while creative thinking involves generating new ideas and approaches.

Answer

Creative thinking is focused on repetition, while algorithmic thinking is focused on innovation

Answer

There is no difference between algorithmic and creative thinking

Answer

Algorithmic thinking is spontaneous, while creative thinking is structured

Question 15

In what fields is algorithmic thinking commonly used?

Accepted Answer

Computer science, mathematics, and engineering

Answer

Medicine, psychology, and sociology

Answer

Music, sports, and culinary arts

Answer

History, literature, and art

Question 16

How does algorithmic thinking contribute to efficient coding practices?

Accepted Answer

It allows developers to design clear, concise, and maintainable code.

Answer

It has no impact on coding practices

Answer

It encourages writing overly complex and convoluted code

Answer

It promotes the use of outdated programming languages

Question 17

What is the role of abstraction in algorithmic thinking?

Accepted Answer

Abstraction involves focusing on the essential details of a problem while ignoring unnecessary complexities.

Answer

Abstraction is not relevant in algorithmic thinking

Answer

Abstraction complicates problems by adding more details

Answer

Abstraction leads to incomplete problem-solving

Question 18

What does abstraction mean in the context of computer science?

Accepted Answer

The process of hiding complex implementation details and showing only the essential information.

Answer

The process of optimizing code for speed.

Answer

The process of creating detailed implementation details.

Answer

The process of deleting essential information.

Question 19

How does abstraction help in software development?

Accepted Answer

By reducing complexity and making it easier to manage and understand code.

Answer

By adding unnecessary details to the codebase.

Answer

By slowing down the development process.

Answer

By increasing complexity and making code harder to understand.

Question 20

How does abstraction contribute to code reusability in programming?

Accepted Answer

Abstraction allows developers to create reusable components with well-defined interfaces.

Answer

Abstraction only focuses on one-time use code segments.

Answer

Abstraction does not affect code reusability.

Answer

Abstraction limits code reusability by hiding important details.

Question 21

How does abstraction simplify problem-solving in computer science?

Accepted Answer

Abstraction allows focusing on high-level concepts rather than low-level details.

Answer

Abstraction increases the complexity of problems by adding more details.

Answer

Abstraction involves solving problems without considering any concepts.

Answer

Abstraction has no impact on problem-solving in computer science.

Question 22

What is decomposition in the context of computer science?

Accepted Answer

the breaking down of a problem into smaller, more manageable parts for easier understanding and implementation

Answer

the extraction of meaningful information from large datasets

Answer

the process of encoding data into a specific format for storage or transmission

Answer

the translation of high-level programming languages into machine code

Question 23

In pattern matching computational thinking, what is the process of comparing a specific sequence of symbols against a pattern called?

Accepted Answer

Matching

Answer

Indexing

Answer

Looping

Answer

Sorting

Question 24

What is the term used in pattern matching computational thinking to describe a sequence of symbols that define a search pattern?

Accepted Answer

Pattern

Answer

Variable

Answer

Algorithm

Answer

Function

Question 25

When performing pattern matching in computational thinking, what does the wildcard symbol '*' typically represent?

Accepted Answer

Zero or more characters

Answer

One character

Answer

Exact match

Answer

End of line

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