Array - Common Operations – Part 2

The video tutorial covers fundamental operations on arrays, including searching, copying, and insertion. It explains the time complexity of these operations and highlights the challenges associated with each, such as memory usage and processing time. The tutorial also introduces dynamic arrays, emphasizing their efficiency and common use in programming languages like Python and JavaScript.

What is the primary operation involved in searching an array?

• Inserting elements

• Deleting elements

• Comparing each element

• Sorting elements

Why is copying an array considered resource-intensive?

• It requires converting the array to a different data type

• It requires sorting the array

• It needs elements to be deleted first

• It involves traversing and allocating new memory

What is the complexity of copying an array?

• O(1)

• O(n^2)

• O(n)

• O(log n)

What is a major challenge when inserting an element in the middle of an array?

• Deleting existing elements

• Sorting the array

• Shifting existing elements

• Finding the correct index

What happens if there is insufficient space when inserting an element in an array?

• The system compresses the array

• The system deletes the array

• The system copies the array to a new location

• The system sorts the array

What is a key advantage of dynamic arrays over static arrays?

• They can grow and shrink as needed

• They require less memory

• They have a fixed size

• They are always sorted

Which programming languages commonly use dynamic arrays?

• Python and JavaScript

• Java and C#

• Ruby and PHP

• C and C++