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Data Structures and Algorithms The Complete Masterclass - Trie - II

Data Structures and Algorithms The Complete Masterclass - Trie - II

Assessment

Interactive Video

•

Information Technology (IT), Architecture

•

University

•

Practice Problem

•

Hard

Created by

Wayground Content

FREE Resource

This video tutorial explains the trie data structure, focusing on inserting, searching, and deleting words. It covers the complexity of these operations and highlights the importance of trie in efficiently managing word lists. The tutorial provides a step-by-step guide to implementing trie and discusses its advantages over traditional data structures.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in inserting a word into a trie?

Determine the length of the word

Create a new root node

Check if the word already exists

Calculate the ASCII value of the first character

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the position of a character in a trie node determined?

Using the ASCII value of the character

Using the alphabetical order of the character

By the length of the word

By the number of nodes in the trie

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a '1' value in the 'W' field of a trie node signify?

The node is a leaf node

The node is empty

The word ends at this node

The node is a root node

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the complexity of searching for a word in a trie?

O(n), where n is the number of nodes

O(log n), where n is the number of nodes

O(1), constant time

O(k), where k is the length of the word

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is the search complexity in a trie dependent on the word length?

Because each character requires a separate node

Because the trie is a balanced tree

Because each character's position is calculated

Because the trie stores words in alphabetical order

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the complexity of inserting a word into a trie?

O(n), where n is the number of nodes

O(k), where k is the length of the word

O(log n), where n is the number of nodes

O(1), constant time

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is insertion in a trie similar to searching?

Both require calculating positions for each character

Both involve creating new nodes

Both are independent of word length

Both depend on the number of nodes

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