A Linked List is a fundamental data structure where elements (nodes) are connected using pointers instead of stored in contiguous memory like an Array. Each node typically contains a value and a reference to the next node in the sequence. This structure allows efficient insertions and deletions because elements don’t need to be shifted in memory.
Linked Lists are a core topic in coding interviews because they test your understanding of pointers, memory references, and algorithmic manipulation. Companies frequently ask candidates to reverse lists, detect cycles, merge lists, or find middle elements. These tasks require strong pointer handling and careful reasoning about edge cases. Mastering Linked Lists helps build the intuition needed for more advanced structures such as trees and graphs.
In interview preparation, most Linked List questions revolve around a few common problem-solving patterns. For example:
You’ll also encounter variations like the Doubly-Linked List, where nodes maintain references to both previous and next elements, enabling bidirectional traversal.
Knowing when to use a Linked List is equally important. They are ideal when frequent insertions and deletions occur or when memory allocation needs to grow dynamically. However, they trade off fast random access, which arrays handle better. Practicing Linked List problems builds strong pointer manipulation skills and prepares you for many real interview scenarios.
FleetCode includes 79 curated Linked List practice problems with detailed solutions and explanations to help you master these patterns and confidently solve interview-level questions.
Understanding arrays first helps contrast contiguous memory with pointer-based storage. Many interview questions compare arrays and linked lists when discussing insertion, deletion, and access complexity.
Stacks are often used in Linked List questions for reversing node order, checking palindromes, or simulating backward traversal when the list is singly linked.
Recursive thinking helps with problems like reversing a linked list, merging lists, and traversing nodes while maintaining state across calls.
Many Linked List problems use the slow-fast pointer technique for detecting cycles, finding the middle node, or locating the nth node from the end.
Learning doubly linked lists extends the basic structure by introducing backward pointers, enabling more efficient deletions and bidirectional traversal.
| Status | Title | Solution | Practice | Difficulty | Companies | Topics |
|---|---|---|---|---|---|---|
| 21. Merge Two Sorted Lists | Solution | Solve | Easy | Adobe+39 | ||
| 83. Remove Duplicates from Sorted List | Solution | Solve | Easy | Adobe+9 | ||
| 141. Linked List Cycle | Solution | Solve | Easy | Accenture+24 | ||
| 160. Intersection of Two Linked Lists | Solution | Solve | Easy | Accenture+14 | ||
| 203. Remove Linked List Elements | Solution | Solve | Easy | Amazon+8 | ||
| 206. Reverse Linked List | Solution | Solve | Easy | Accenture+35 | ||
| 234. Palindrome Linked List | Solution | Solve | Easy | Adobe+17 | ||
| 705. Design HashSet | Solution | Solve | Easy | Amazon+5 | ||
| 706. Design HashMap | Solution | Solve | Easy | Amazon+14 | ||
| 876. Middle of the Linked List | Solution | Solve | Easy | Accenture+13 | ||
| 1290. Convert Binary Number in a Linked List to Integer | Solution | Solve | Easy | Amazon+9 | ||
| 1474. Delete N Nodes After M Nodes of a Linked List | Solution | Solve | Easy | Microsoft | ||
| 3062. Winner of the Linked List Game | Solution | Solve | Easy | - | ||
| 3063. Linked List Frequency | Solution | Solve | Easy | - | ||
| 3263. Convert Doubly Linked List to Array I | Solution | Solve | Easy | - |
Start Easy, progress to Hard.
Frequently appear alongside Linked List.
Common questions about Linked List.
Yes, Linked List questions appear frequently in FAANG and other top tech company interviews. They test pointer manipulation, algorithmic reasoning, and space optimization. Many classic problems such as cycle detection or list reversal are considered fundamental interview questions.
Start by understanding the structure of nodes and pointers, then implement basic operations like insertion, deletion, and traversal. Next, practice common patterns such as reversing lists and using slow-fast pointers. Finally, solve progressively harder problems to master edge cases and optimizations.
Common interview questions include reversing a linked list, detecting a cycle (Floyd’s algorithm), merging two sorted lists, finding the middle node, and removing the nth node from the end. These problems test pointer manipulation and edge case handling. Most interview prep guides recommend practicing 15–25 core variations.
Traversal, search, and access typically take O(n) time because nodes must be visited sequentially. However, insertions and deletions at known positions can be done in O(1) time by adjusting pointers. This trade-off is why Linked Lists are efficient for dynamic data modifications.
Key patterns include the slow-fast pointer technique, in-place reversal, dummy node usage, merging sorted lists, and cycle detection. Recognizing these patterns allows you to solve many different Linked List problems using the same underlying ideas.
Solving around 30–50 Linked List problems usually builds strong pattern recognition. Focus on core techniques like reversal, slow-fast pointers, merging, and partitioning. FleetCode offers 79 problems so you can progress from beginner patterns to advanced interview scenarios.
