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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.

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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 22 of 32

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Q211.
What is the maximum height of an AVL tree with p nodes?
Discuss
Answer: (b).log(p)
Q212.
To restore the AVL property after inserting a element, we start at the insertion point and move towards root of that tree. is this statement true?
Discuss
Answer: (a).true
Q213.
Given an empty AVL tree, how would you construct AVL tree when a set of numbers are given without performing any rotations?
Discuss
Answer: (b).find the median of the set of elements given, make it as root and construct the tree
Q214.
What maximum difference in heights between the leafs of a AVL tree is possible?
Discuss
Answer: (a).log(n) where n is the number of nodes
Q215.
Consider the pseudo code below.
Does thebelow code can check if a binary search tree is an AVL tree?
int avl(binarysearchtree root):
     if(not root)
       return 0
     left_tree_height = avl(left_of_root)
 
     if(left_tree_height== -1) 
       return left_tree_height
 
     right_tree_height= avl(right_of_root)
 
     if(right_tree_height==-1)
       return right_tree_height
Discuss
Answer: (a).yes
Q216.
Consider the below left-left rotation pseudo code where the node contains value pointers to left, right child nodes and a height value and Height() function returns height value stored at a particular node.
What is missing?
avltree leftrotation(avltreenode z):
   avltreenode w =x-left
   x-left=w-right
   w-right=x
   x-height=max(Height(x-left),Height(x-right))+1 
   w-height=max(missing)+1   
  return w
Discuss
Answer: (a).Height(w-left), x-height
Discuss
Answer: (b).AVL tree store balance factor in every node which costs space
Discuss
Answer: (c).a tree which obeys heap property and whose inorder traversal yields the given sequence
Q219.
Which of the below statements are true:

i.Cartesian tree is not a height balanced tree

ii.Cartesian tree of a sequence of unique numbers can be unique generated
Discuss
Answer: (a).both statements are true
Discuss
Answer: (a).it sorts partially sorted set of data quickly

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