Applications (autocomplete, spell check, IP routing) in Data Structures Theory - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to show which data structure is commonly used for autocomplete.

Data Structures Theory

The data structure used for autocomplete is called a [1].

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Atrie

Bhash table

Cstack

Dqueue

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing tries with hash tables which are good for exact matches but not prefix searches.

Thinking stacks or queues can efficiently handle prefix queries.

A trie is a tree-like data structure that stores strings and is efficient for prefix-based searches, making it ideal for autocomplete.

2fill in blank

medium

Complete the sentence to explain a common method used in spell checkers.

Data Structures Theory

Spell checkers often use [1] to find words that are close in spelling to the input word.

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Asorting

Bhashing

Cedit distance

Dstack operations

Attempts:

3 left

💡 Hint

Common Mistakes

Assuming sorting helps find similar words quickly.

Thinking hashing can find close spellings instead of exact matches.

Edit distance measures how many changes are needed to convert one word into another, helping spell checkers suggest correct words.

3fill in blank

hard

Fix the error in the explanation about IP routing.

Data Structures Theory

IP routing uses [1] tables to decide where to send data packets next.

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Ahash

Bstack

Cqueue

Drouting

Attempts:

3 left

💡 Hint

Common Mistakes

Confusing routing tables with stacks or queues.

Thinking hash tables are used directly for routing decisions.

Routing tables store information about paths to different network destinations, guiding data packets efficiently.

4fill in blank

hard

Fill both blanks to complete the sentence about autocomplete and spell check.

Data Structures Theory

Autocomplete uses a [1] to store words, while spell check uses [2] to measure word similarity.

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Atrie

Bedit distance

Chash table

Dstack

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up hash tables with tries for autocomplete.

Confusing edit distance with hash tables for spell checking.

Autocomplete relies on a trie for fast prefix searches, and spell check uses edit distance to find words close in spelling.

5fill in blank

hard

Fill all three blanks to complete the explanation about IP routing and data structures.

Data Structures Theory

IP routing uses [1] tables to find the best path, which often use [2] for fast lookup and [3] to handle multiple possible routes.

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Arouting

Bhashing

Cpriority queues

Dstack

Attempts:

3 left

💡 Hint

Common Mistakes

Using stacks instead of priority queues for route selection.

Confusing routing tables with generic data structures.

IP routing relies on routing tables that use hashing for quick address lookup and priority queues to manage and select the best routes among many.