Why to prefer red-black trees over AVL trees?...

MCQ

Why to prefer red-black trees over AVL trees?

Because red-black is more rigidly balanced

AVL tree store balance factor in every node which costs space

AVL tree fails at scale

Red black is more efficient

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MCQ

Select the code snippet which performs in-order traversal.

a)

public void inorder(Tree root)
{
 System.out.println(root.data);
 inorder(root.left);
 inorder(root.right);
}

b)

public void inorder(Tree root)
{
 inorder(root.left);
 System.out.println(root.data);
 inorder(root.right);
}

c)

public void inorder(Tree root)
{
 System.out.println(root.data);
 inorder(root.right);
 inorder(root.left);
}

d) None of the mentioned

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MCQ

Consider a weight balanced tree such that, the number of nodes in the left sub tree is at least half and at most twice the number of nodes in the right sub tree. The maximum possible height (number of nodes on the path from the root to the farthest leaf) of such a tree on k nodes can be described as

log2 n

log4/3 n

log3 n

log3/2 n

Discussion

MCQ

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

Discussion

MCQ

Can a tree stored in an array using either one of inorder or post order or pre order traversals be again reformed?

yes just traverse through the array and form the tree

No we need one more traversal to form a tree

No in case of sparse trees

None of the mentioned

Discussion

MCQ

A __________is a non-linear data structure representing the hierarchical structure of one or more elements known as nodes.

Tree

Child nodes

Leaf nodes

None of the above

Discussion

Banking

Engineering

General

Medical

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Abstract data types

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B Trees

Heaps

Hash based structures

Graphs

Mixed

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Engineering

General

Medical

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category More Data Structure Topics

Data Structure Basics

Abstract data types

Arrays

Lists

Stacks

Queues

Trees

Binary Trees

B Trees

Heaps

Hash based structures

Graphs

Mixed

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