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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 20 of 32

Explore more Topics under Data Structures and Algorithms

Discuss
Answer: (a).Each node has exactly zero or two children
Discuss
Answer: (c).A binary tree, which is completely filled, with the possible exception of the bottom level, which is filled from left to right
Q193.
What is the time complexity for finding the height of the binary tree?
Discuss
Answer: (d).h = O(log n)
Q194.
Which of the following is not an advantage of trees?
Discuss
Answer: (d).Undo/Redo operations in a notepad
Q195.
In a full binary tree if number of internal nodes is I, then number of leaves L are?
Discuss
Answer: (b).L = I + 1
Q196.
In a full binary tree if number of internal nodes is I, then number of nodes N are?
Discuss
Answer: (d).N = 2I + 1
Q197.
In a full binary tree if there are L leaves, then total number of nodes N are?
Discuss
Answer: (d).N = 2L โ€“ 1
Discuss
Answer: (d).All of the mentioned
Discuss
Answer: (d).None of the mentioned
Q200.
How to search for a key in a binary search tree?
a)

public Tree search(Tree root, int key)
{
 if( root == null || root.key == key )
        {
  return root;
 }
 if( root.key < key )
        {
  return search(root.right,key);
 }
 else
 return search(root.left,key);
}

b)

public Tree search(Tree root, int key)
{
 if( root == null || root.key == key )
        {
  return root;
 }
 if( root.key < key )
        {
  return search(root.left,key);
 }
 else
 return search(root.right,key);
}

c)

public Tree search(Tree root, int key)
{
 if( root == null)
        {
  return root;
 }
 if( root.key < key )
        {
  return search(root.right,key);
 }
 else
  return search(root.left,key);
}

d) None of the mentioned

a.

a

b.

b

c.

c

d.

d

Discuss
Answer: (a).a

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