Welcome to the Trees MCQs Page

Dive deep into the fascinating world of Trees with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Trees, a crucial aspect of Data Structures and Algorithms. In this section, you will encounter a diverse range of MCQs that cover various aspects of Trees, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Structures and Algorithms.

Check out the MCQs below to embark on an enriching journey through Trees. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Structures and Algorithms.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Trees. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Trees MCQs | Page 30 of 32

Explore more Topics under Data Structures and Algorithms

01

Data Structures Basics

02

Data Types and Abstraction

03

Algorithm Complexity

04

Arrays and Pointers

05

Linked Lists

06

Stacks and Queues

07

Recursion

08

Graphs

09

String Operations

10

Sorting and Searching

11

Object Oriented Programming

12

Dynamic Programming

Q291.

When is it appropriate to use direct addressing?

When the array is comparatively large

When the universe U of keys is reasonably small

When the universe U of keys is reasonably large

When the array is comparatively small

Discuss

Answer: (b).When the universe U of keys is reasonably small

Q292.

What is the time complexity to insert an element into the direct address table?

O(n)

O(logn)

O(nlogn)

O(1)

Discuss

Answer: (d).O(1)

Q293.

What is the advantage of using a dynamic set in direct addressing?

It saves time

It saves space

It saves both time and space

None of the mentioned

Discuss

Answer: (b).It saves space

Q294.

What is the time complexity to delete an element from the direct address table?

O(n)

O(logn)

O(nlogn)

O(1)

Discuss

Answer: (d).O(1)

Q295.

How is a bit vector better compared to a normal array for implementing the hash table?

It saves time

It saves space

It saves both time and space

None of the mentioned

Discuss

Answer: (b).It saves space

Q296.

A ________ is a special Tree-based data structure in which the tree is a complete binary tree.

Graph

Heap

List

Stack

Discuss

Answer: (b).Heap

Q297.

How many type of heap are there?

Discuss

Answer: (a).2

Q298.

In which heap the root node must be greatest among the keys present at all of its children?

min-heap

max-heap

both a and b

None of the above

Discuss

Answer: (b).max-heap

Q299.

What is the complexity of adding an element to the heap?

O(log n)

O(log h)

O(h)

both a and c

Discuss

Answer: (d).both a and c

Q300.

An array consists of n elements. We want to create a heap using the elements. The time complexity of building a heap will be in order of

O(n*n*logn)

O(n*logn)

O(n*n)

O(n *logn *logn)

Discuss

Answer: (b).O(n*logn)

Page 30 of 32

Welcome to the Trees MCQs Page

Trees MCQs | Page 30 of 32

Explore more Topics under Data Structures and Algorithms

Data Structures Basics

Data Types and Abstraction

Algorithm Complexity

Arrays and Pointers

Linked Lists

Stacks and Queues

Recursion

Graphs

String Operations

Sorting and Searching

Object Oriented Programming

Dynamic Programming

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