TECHNOLOGY INTERVIEW GUIDE
Data Structures & Algorithms interview preparation.
Turn your understanding into examples, reasoning, and clear trade-offs.
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Practice Data Structures & AlgorithmsExplain before you reveal.
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Difficulty
Question type
75 questions
How to prepare for DSA interviews
Core rule
Foundation2 min read
Big O notation
What it is
Foundation2 min read
Arrays and strings
Arrays
Foundation2 min read
Hashing and maps
What it is
Foundation2 min read
Linked list
What it is
Intermediate2 min read
Stack and queue
Stack
Intermediate2 min read
Recursion and backtracking
Recursion
Intermediate2 min read
Trees and binary search trees
Binary tree
Intermediate2 min read
Heap and priority queue
What it is
Intermediate2 min read
Graphs
Graph representation
Intermediate2 min read
Dynamic programming
What it is
Intermediate2 min read
Greedy algorithms
What it is
Intermediate2 min read
Sorting and searching
Sorting
Intermediate2 min read
Bit manipulation
Important concepts
Advanced2 min read
Sliding window and two pointers
Sliding window
Advanced2 min read
Difficulty is editorial guidance. These questions are not a ranking of interview frequency.
All Data Structures & Algorithms interview questions by concept
Use the filters above for a practice selection, or follow the full question directory below. Each answer includes its source and explanation; difficulty labels are editorial guidance.
Foundations & core patterns
Linear data structures
Trees, heaps & graphs
Algorithms & problem-solving patterns
Advanced patterns & priorities
Interview practice & revision
JavaScript implementations
- JavaScript DSA basics
- Arrays and strings in JavaScript
- Hashing and maps in JavaScript
- Linked list in JavaScript
- Stack and queue in JavaScript
- Recursion and backtracking in JavaScript
- Trees and BST in JavaScript
- Heap and priority queue in JavaScript
- Graphs in JavaScript
- Dynamic programming in JavaScript
- Greedy and binary search in JavaScript
- Sliding window and two pointers in JavaScript
- Important JavaScript DSA interview topics
- JavaScript interview-friendly practice list
Java implementations
- Java DSA basics
- Arrays and strings in Java
- Hashing and maps in Java
- Linked list in Java
- Stack and queue in Java
- Recursion and backtracking in Java
- Trees and BST in Java
- Heaps and priority queue in Java
- Graphs in Java
- Dynamic programming in Java
- Sorting and searching in Java
- Bit manipulation in Java
- Important interview questions for Java
- Best Java DSA interview practice list
C# / .NET implementations
- .NET DSA fundamentals
- Arrays and strings in C#
- Hashing in .NET
- Linked list in C#
- Stack and queue in .NET
- Recursion and backtracking in C#
- Trees and BST in C#
- Heap and priority queue in .NET
- Graphs in C#
- Dynamic programming in C#
- Sorting and searching in C#
- Sliding window and two pointers in C#
- Important .NET interview questions
- Best .NET DSA practice list
Python implementations
- Python DSA basics
- Arrays and strings in Python
- Hashing and maps in Python
- Linked list in Python
- Stack and queue in Python
- Recursion and backtracking in Python
- Trees and BST in Python
- Heap and priority queue in Python
- Graphs in Python
- Dynamic programming in Python
- Binary search and greedy in Python
- Sliding window and two pointers in Python
- Important Python interview topics
- Best Python DSA practice list