Java Programming for Complete Beginners - Java 16 - Step 16 - Understanding Data Structures - Tree - Sorted Order

The video tutorial covers various data structures, starting with arrays, linked lists, and hash tables, before focusing on trees, specifically red-black trees. It explains how trees store elements in a sorted manner, making operations like insertion, deletion, and searching efficient. The tutorial highlights the properties of trees, such as smaller elements on the left and larger ones on the right, and demonstrates how to find the smallest and largest elements. The video concludes with a summary of the discussed data structures and a preview of the next topic on collections.

What is a key feature of a tree data structure?

• It does not allow duplicate elements.

• It only stores numeric data.

• It stores elements in a random order.

• It stores elements in a sorted order.

In a binary search tree, where would you insert the number 63?

• On the left of 65

• On the right of 60

• On the left of 60

• On the right of 65

How do you find the smallest element in a binary search tree?

• Traverse the entire tree

• Check the root node

• Go to the rightmost node

• Go to the leftmost node

What is the main advantage of using a tree for data storage?

• It is easier to implement than linked lists.

• It reduces the cost of search, insert, and delete operations.

• It allows for random access of elements.

• It requires less memory than arrays.

Which data structures were discussed in the video before trees?

• Binary Trees and AVL Trees

• Arrays, Linked Lists, and Hash Tables

• Graphs and Heaps

• Stacks and Queues