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MCQ

What is the space complexity of the in-order traversal in the recursive fashion? (d is the tree depth and n is the number of nodes)

O(1)

O(nlogd)

O(logd)

O(d)

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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?

May be

Can't say

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Which one of the following statements is false?

Breadth-first search cannot be used to find connected components of a graph.

Given the prefix and postfix walks of a binary tree, the binary tree cannot be uniquely reconstructed.

Both (a) and (b)

Optimal binary search tree construction can be performed efficiently using dynamic programmmg.

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If a node in a BST has two children, then its inorder predecessor has

no left child

no right child

two children

no child

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In binary heap, whenever the root is removed then the rightmost element of last level is replaced by the root. Why?

It is the easiest possible way.

To make sure that it is still complete binary tree.

Because left and right subtree might be missing.

None of the above.

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Heaps

Hash based structures

Graphs

Mixed

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