RCE 4.1 Understanding Algorithms in Digital Analysis

What is the primary purpose of an algorithm in digital analysis?

• To create random outputs

• To support calculations or problem solving

• To confuse users

• To generate infinite loops

Which characteristic of an algorithm ensures that it has a finite number of steps?

• Unambiguous

• Finiteness

• Logical sequencing

• Iteration

What does it mean for an algorithm to be unambiguous?

• It has multiple meanings

• It is unclear

• Its steps are clear and lead to one meaning

• It has no defined inputs

Which of the following is NOT a characteristic of an algorithm?

• Clearly defined inputs and outputs

• Infinite steps

• Logical sequencing of steps

• Selection

What is the role of iteration in an algorithm?

• To skip steps

• To repeat steps until results are achieved

• To end the process immediately

• To create confusion

In the context of algorithms, what does selection refer to?

• Choosing the wrong step

• Input leading to choice of step

• Ignoring inputs

• Randomly selecting outputs

Which of the following is an application of algorithms in digital analysis?

• To make processes less efficient

• To automate calculations

• To increase manual work

• To create unsolvable problems

How do algorithms support machine learning for data analysis?

• By ignoring data

• By providing a step-by-step solution

• By creating random outputs

• By making data analysis impossible

What is the significance of structured English in algorithms?

• To make algorithms complex

• To ensure clarity and understanding

• To confuse the reader

• To use random words

Which characteristic of an algorithm involves the logical sequencing of steps?

• Finiteness

• Unambiguous

• Iteration

• Logical sequencing