Data Structures and Algorithms The Complete Masterclass - Array - Common Operations – Part 1

The video tutorial discusses common operations on arrays, including accessing, updating, and traversing elements. It explains the time complexities of these operations, emphasizing the importance of understanding them for interviews. Accessing and updating elements are constant time operations, while traversing is linear. The tutorial also highlights the significance of visualizing these operations for better comprehension.

Which of the following is NOT one of the four common operations performed on arrays?

• Sorting the array

• Searching for an element

• Accessing a value

• Inserting a new element

What is the time complexity of accessing an element at a specific index in an array?

• O(1)

• O(log n)

• O(n^2)

• O(n)

Why is accessing an element in an array considered to have constant time complexity?

• Because arrays are immutable

• Because arrays are stored in the cloud

• Because the array is always sorted

• Because the system knows the memory address of each element

What is the time complexity of updating an element at a specific index in an array?

• O(1)

• O(log n)

• O(n)

• O(n^2)

When updating an element in an array, what does the system primarily rely on?

• The size of the array

• The memory address of the element

• The number of elements in the array

• The type of data stored

What is the time complexity of traversing an entire array?

• O(n)

• O(n^2)

• O(log n)

• O(1)

Why does traversing an array have a linear time complexity?

• Because arrays are always sorted

• Because the system caches the array

• Because arrays are stored in a linear fashion

• Because each element must be visited