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 22 of 32
Explore more Topics under Data Structures and Algorithms
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_heightWhat 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 wi.Cartesian tree is not a height balanced tree
ii.Cartesian tree of a sequence of unique numbers can be unique generated
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