BST , AVL Tree  & B-tree

BST , AVL Tree & B-tree

University

15 Qs

quiz-placeholder

Similar activities

DS Quiz1

DS Quiz1

University

10 Qs

ML Course Activity-II

ML Course Activity-II

University

10 Qs

Introduction to Tree Data Structure (TDS)

Introduction to Tree Data Structure (TDS)

University

20 Qs

TEKNIK SEARCHING

TEKNIK SEARCHING

University

20 Qs

untitled

untitled

11th Grade - University

15 Qs

Kuis Artificial Intelligence

Kuis Artificial Intelligence

University

15 Qs

Linked List (Chapter 2)

Linked List (Chapter 2)

University

15 Qs

Kuis PKB

Kuis PKB

University

20 Qs

BST , AVL Tree  & B-tree

BST , AVL Tree & B-tree

Assessment

Quiz

Computers

University

Practice Problem

Easy

Created by

Revathi Prakash

Used 1+ times

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the key properties of a B tree?

A B tree allows only for efficient search operations, not insertion or deletion.

A B tree is a balanced tree data structure that maintains sorted data and allows for efficient insertion, deletion, and search operations.

A B tree is an unbalanced tree structure that can lead to inefficient operations.

A B tree is a linear data structure that does not maintain sorted data.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you perform an insertion operation in a binary search tree?

Insert the value in the correct position based on comparisons.

Always insert values to the left regardless of comparisons.

Insert the value at the root of the tree.

Delete the smallest value before inserting the new value.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of rotations in AVL trees?

To convert the tree into a binary search tree.

To store additional data in the nodes of the tree.

To maintain the balance of the tree after insertions or deletions.

To increase the height of the tree after insertions.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Compare the advantages of B trees and AVL trees.

B-trees are better for disk-based storage; AVL trees are better for in-memory access.

B-trees are faster for in-memory access; AVL trees are slower for disk-based storage.

B-trees are simpler to implement than AVL trees.

AVL trees require more memory than B-trees for large datasets.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the concept of height balancing in AVL trees.

Height balancing in AVL trees is only necessary for the root node.

Height balancing in AVL trees allows for any subtree height difference.

AVL trees do not require balancing after insertions or deletions.

Height balancing in AVL trees ensures that the heights of the left and right subtrees of any node differ by at most one.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you search for a value in a binary search tree?

Traverse the tree, comparing values and moving left or right based on comparisons.

Only check the root node for the value.

Use a linear search through all nodes in the tree.

Search the tree by randomly selecting nodes.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the maximum number of children a B tree node can have?

2m

m

m+1

m-1

Create a free account and access millions of resources

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?