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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 25 of 32

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Q241.
What are the disadvantages of normal binary tree traversals?

a.

there are many pointers which are null and thus useless

b.

there is no traversal which is efficient

c.

complexity in implementing

d.

improper traversals

Discuss
Answer: (a).there are many pointers which are null and thus useless
Q242.
What may be the content of a node in threaded binary tree?

a.

leftchild_pointer, left_tag, data, right_tag, rightchild_pointer

b.

leftchild_pointer, left_tag

c.

leftchild_pointer, left_tag, right_tag, rightchild_pointer

d.

leftchild_pointer, left_tag, data

Discuss
Answer: (a).leftchild_pointer, left_tag, data, right_tag, rightchild_pointer
Q243.
What are null nodes filled with in a threaded binary tree?

a.

inorder predecessor for left node and inorder successor for right node information

b.

right node with inorder predecessor and left node with inorder successor information

c.

they remain null

d.

some other values randomly

Discuss
Answer: (a).inorder predecessor for left node and inorder successor for right node information
Q244.
The null left pointer pointing to predecessor and null right pointer pointing to successor. how many types of threaded tree are possible with this convention?

a.

inorder, postorder, preorder traversals

b.

inorder

c.

postorder

d.

preorder

Discuss
Answer: (a).inorder, postorder, preorder traversals
Q245.
What are double and single threaded trees?

a.

when both left, right nodes are having null pointers and only right node is null pointer respectively

b.

having 2 and 1 node

c.

using single and double linked lists

d.

using heaps and priority queues

Discuss
Answer: (a).when both left, right nodes are having null pointers and only right node is null pointer respectively
Q246.
What is wrong with below code for inorder traversal of inorder threaded binary tree: 
 inordertraversal(threadedtreenode root):
   threadedtreenode q = inorderpredecessor(root)
   while(q!=root):
   q=inorderpredecessor(q)
   print q.data

a.

inordersuccessor instead of inorderpredecessor must be done

b.

code is correct

c.

it is code for post order

d.

it is code for pre order

Discuss
Answer: (a).inordersuccessor instead of inorderpredecessor must be done
Q247.
In a max-heap, element with the greatest key is always in the which node?

a.

Leaf node

b.

First node of left sub tree

c.

root node

d.

First node of right sub tree

Discuss
Answer: (c).root node
Q248.
Heap exhibits the property of a binary tree?

a.

True

b.

False

c.

May be

d.

Can't say

Discuss
Answer: (a).True
Q249.
What is the complexity of adding an element to the heap.

a.

O(log n)

b.

O(h)

c.

O(log n) & O(h)

d.

None of the mentioned

Discuss
Answer: (c).O(log n) & O(h)
Q250.
The worst case complexity of deleting any arbitrary node value element from heap is

a.

O(logn)

b.

O(n)

c.

O(nlogn)

d.

O(n^2)

Discuss
Answer: (a).O(logn)
Page 25 of 32

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