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 15 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

Q141.

Why the below pseudo code where x is a value, wt is weight factor and t is root node can’t insert?

WeightBalanceTreeNode insert(int x, int wt, WeightBalanceTreeNode k) :
 
           if (k == null)
                k = new WeightBalanceTreeNode(x, wt, null, null)
           else if (x < t.element) :
 
                k.left = insert (x, wt, k.left)
                if (k.left.weight < k.weight)
                    k = rotateWithRightChild (k)
 
            else if (x > t.element) :
 
                k.right = insert (x, wt, k.right)
                if (k.right.weight < k.weight)
                    k = rotateWithLeftChild (k)

when x>t. element Rotate-with-left-child should take place and vice versa

the logic is incorrect

the condition for rotating children is wrong

insertion cannot be performed in weight balanced trees

Discuss

Answer: (a).when x>t. element Rotate-with-left-child should take place and vice versa

Q142.

What does the below definations convey?

i. A binary tree is balanced if for every node it is gonna hold that the number of inner nodes in the left subtree and the number of inner nodes in the right subtree differ by at most 1.
ii. A binary tree is balanced if for any two leaves the difference of the depth is at most 1.

weight balanced and height balanced tree definations

height balanced and weight balanced tree definations

definations of weight balanced tree

definations of height balanced tree

Discuss

Answer: (a).weight balanced and height balanced tree definations

Q143.

Elements in a tree can be indexed by its position under the ordering of the keys and the ordinal position of an element can be determined, both with good efficiency.

True

False

May be

Can't say

Discuss

Answer: (a).True

Q144.

What is the special property of red-black trees and what root should always be?

a color which is either red or black and root should always be black color only

height of the tree

pointer to next node

a color which is either green or black

Discuss

Answer: (a).a color which is either red or black and root should always be black color only

Q145.

Why do we impose restrictions like
. root property is black
. every leaf is black
. children of red node are black
. all leaves have same black

to get logarithm time complexity

to get linear time complexity

to get exponential time complexity

to get constant time complexity

Discuss

Answer: (a).to get logarithm time complexity

Q146.

Cosider the below formations of red-black tree. All the below formations are incorrect for it to be a redblack tree. Then what may be the correct order?

50-black root, 18-red left subtree, 100-red right subtree

50-red root, 18-red left subtree, 100-red right subtree

50-black root, 18-black left subtree, 100-red right subtree

50-black root, 18-red left subtree, 100-black right subtree

Discuss

Answer: (a).50-black root, 18-red left subtree, 100-red right subtree

Q147.

What are the operations that could be performed in O(logn) time complexity by red-black tree?

insertion, deletion, finding predecessor, successor

only insertion

only finding predecessor, successor

for sorting

Discuss

Answer: (a).insertion, deletion, finding predecessor, successor

Q148.

Which of the following is an application of Red-black trees and why?

used to store strings efficiently

used to store integers efficiently

can be used in process schedulers, maps, sets

for efficient sorting

Discuss

Answer: (c).can be used in process schedulers, maps, sets

Q149.

When it would be optimal to prefer Red-black trees over AVL trees?

when there are more insertions or deletions

when more search is needed

when tree must be balanced

when log(nodes) time complexity is needed

Discuss

Answer: (a).when there are more insertions or deletions

Q150.

Why Red-black trees are preferred over hash tables though hash tables have constant time complexity?

no they are not preferred

because of resizing issues of hash table and better ordering in redblack trees

because they can be implemented using trees

because they are balanced

Discuss

Answer: (b).because of resizing issues of hash table and better ordering in redblack trees

Page 15 of 32

Welcome to the Trees MCQs Page

Trees MCQs | Page 15 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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