Solve problems that are commonly asked in C++ coding interviews related to common data structures.

Ace the C++ Coding Interview

Data structures are among the fundamentals of computer science and are often a core decision in developing efficient programs. They are categorized as a vital benchmark of computer science knowledge when it comes to industry interviews. This module contains a detailed review of common data structures in C++. We'll also become well-equipped with different data structures by implementing them.
By the end of this module, we'll have expertise in solving problems in data structures.

Data Structures


# Comparison Between Trie and Hash Tables

Both of these data structures can be used for the same job, but their performance would vary based on the nature of your program. Let's take a look at some of the factors we need to keep in mind when deciding the appropriate data structure.

## Basic Operations
On average, hash tables can perform search, insertion, and deletion in constant time, whereas Trie usually works in *O(n)*. However, in the worst case, the performance of hash tables can come down to *O(n)*, where **n** is the total number of hash entries. Whereas, the Trie in the worst case can take *O(n\*m)*.


## Hash Function
An efficient hash table requires a smart hash function that would distribute the keys over all the space that is available to us. A Trie is simpler to implement in this regard as it accesses extra space only when needed, and no hash function is required to optimize its structure.

## Order of Data
If our application needs data to be ordered in a specific sequence, Trie will prove more useful because its tree structure helps in maintaining the order. Hash tables are the smarter choice if your data can be stored randomly.



This lesson highlights the differences between trie and hash tables.

Trie vs. Hash Table