Understanding Linear Search

What does a linear search algorithm compare?

• The target with each item in the list sequentially

• The list items in a random order

• The target with a predefined value

• The list items with each other

In a linear search, what happens if the first item is not the target?

• The algorithm restarts

• The search stops immediately

• The search proceeds to the next item

• The search moves to the last item

What is the outcome when the target is found in a linear search?

• The search ends

• The search moves to the next section

• The search continues to check for duplicates

• The search restarts to verify

How does a linear search algorithm proceed if the current item is not the target?

• It stops the search

• It returns to the first item

• It moves to a random next item

• It moves to the next item in the list

Which of the following is an advantage of using a linear search?

• It is complex to implement

• It requires the list to be sorted

• It is simple to code

• It is the fastest search method

What is required for a linear search to work?

• The list must be sorted

• No requirement on the list's order

• The list must be of a specific size

• The list items must be of the same type

Why is a linear search considered inefficient with large lists?

• Because it checks items in a random order

• Because it skips some items

• Because it compares each item until it finds the target

• Because it requires additional memory

What is a significant disadvantage of linear search when dealing with very large lists?

• It requires the list to be sorted

• It is too simple to handle large data

• It consumes a lot of time

• It cannot find all possible matches