Data Structures and Algorithms The Complete Masterclass - Binary Search Tree

Data Structures and Algorithms The Complete Masterclass - Binary Search Tree

Assessment

Interactive Video

•

Information Technology (IT), Architecture

•

University

•

Practice Problem

•

Hard

Created by

Wayground Content

FREE Resource

This video tutorial covers binary search trees (BSTs), explaining their structure, types, and operations. It discusses the differences between balanced and unbalanced BSTs, focusing on their complexity and logarithmic dependence. The tutorial also details operations like searching, insertion, and deletion, including handling cases with zero, one, or two children. The importance of maintaining a balanced tree for optimal performance is emphasized.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key characteristic of a Binary Search Tree?

Left subtree nodes are greater than the root.

All nodes have exactly two children.

Right subtree nodes are less than the root.

Left subtree nodes are less than the root, and right subtree nodes are greater.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What defines a balanced Binary Search Tree?

The tree is perfectly symmetrical.

All nodes have two children.

The height difference between left and right subtrees is not more than one.

The tree has an equal number of nodes on the left and right.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary advantage of a balanced BST over an unbalanced one?

Consistent time complexity for operations.

Faster insertion times.

More nodes can be stored.

Simpler structure.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the height of a balanced BST typically relate to the number of nodes?

It is directly proportional to the number of nodes.

It is constant regardless of the number of nodes.

It is logarithmic in relation to the number of nodes.

It is quadratic in relation to the number of nodes.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the average time complexity for searching in a balanced BST?

O(log n)

O(n^2)

O(n)

O(1)

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which operation in a BST can be the most complex due to multiple cases?

Traversal

Deletion

Searching

Insertion

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the worst-case time complexity for insertion in an unbalanced BST?

O(n^2)

O(1)

O(n)

O(log n)

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