Understanding Linear Search Algorithm

What type of lists can the linear search algorithm be applied to?

• Both sorted and unsorted lists

• Neither sorted nor unsorted lists

• Unsorted lists only

• Sorted lists only

What is the initial value of the 'found' variable in the linear search algorithm?

• False

• True

• Undefined

• 0

Which data structure is assumed to be used for storing the dataset in the linear search example?

• Linked list

• Graph

• Array or list

• Binary tree

What happens when the item to find matches the current item in the dataset during a linear search?

• The loop exits immediately

• A new search begins

• The 'found' variable is set to false

• The index is decremented

What is the typical use case for a linear search mentioned in the text?

• Sorting algorithms

• Database indexing

• Network routing

• Find and replace function in a word processor

What is the efficiency of the linear search algorithm for large datasets?

• Data size does not affect efficiency

• Inefficient

• Moderately efficient

• Highly efficient

How does the linear search algorithm proceed through the dataset?

• Does not move through the dataset

• From first to last

• Randomly

• From last to first

What additional code is suggested to be implemented after the linear search algorithm executes?

• A function to delete the item

• A check to see if the item was found and its position

• A sorting function

• Encryption of data

What is the time complexity of the linear search algorithm in the best case scenario?

• O(1)

• O(log n)

• O(n log n)

• O(n)

Which of the following scenarios is most suitable for using a linear search?

• Large datasets with frequent access

• Small datasets with infrequent access

• Large datasets sorted in ascending order

• Highly structured databases