Data Structures and Algorithms The Complete Masterclass - Trees - Part 2

The video tutorial discusses the concepts of depth and height in tree data structures. Depth is defined as the length of the path from the root node to a specific node, while height is the number of edges in the longest path from a node to a leaf node. The tutorial also explains the concept of inner nodes and how to calculate the number of edges in a tree. Diagrams are used to illustrate these concepts, and the video concludes with a brief mention of binary trees, which will be covered in the next lecture.

What is the depth of a node in a tree?

• The number of leaf nodes in the tree

• The number of nodes from the root to the node

• The number of child nodes of the node

• The number of edges from the root to the node

Which of the following is true about the depth of the root node?

• It is always 0

• It is equal to the height of the tree

• It is always 1

• It depends on the number of child nodes

How is the height of a node defined in a tree?

• The number of edges in the longest path from the node to a leaf

• The number of leaf nodes in the tree

• The number of nodes from the node to the root

• The number of child nodes of the node

What determines the height of a tree?

• The depth of the deepest node

• The number of leaf nodes

• The height of the root node

• The number of nodes in the tree

What is an inner node in a tree?

• A node with no children

• A node that is not a leaf node

• A node with only one child

• A node that is the root

How can you calculate the number of edges in a tree?

• Number of inner nodes

• Number of leaf nodes

• Number of nodes minus one

• Number of nodes plus one

If a tree has 7 nodes, how many edges does it have?

• 5

• 6

• 7

• 8