Coding & Algorithms Interview Questions

Practice 3,429 real Coding & Algorithms interview questions for 2026. Covers companies like Meta, Amazon, Google, Uber, and Microsoft. Real questions from actual interviews with detailed solutions — ideal for focused interview preparation. Coding & Algorithms interview questions are the single most common technical gate for software engineering roles and are used to evaluate problem framing, algorithm selection, complexity trade-offs, correctness, edge-case reasoning, and clear communication under time pressure. Expect this category to appear in early technical screens and repeatedly across onsite loops at companies that weight it heavily (notably Meta, Google, and Amazon). Interviews will test arrays and strings, trees and graphs, dynamic programming, hashing and two‑pointer techniques, and the candidate’s ability to test and optimize code in a shared editor. Prepare with timed mock interviews, practice in the same editor you’ll use live, and build a progressive schedule that moves from fundamentals to medium/hard problems; typical candidates invest several weeks to a few months of focused practice depending on seniority and target company.

3.4k Questions 368 Companies08.11.2026
Showing 20 results
Role
Meta logo
Meta
Medium
Software Engineer

Solve two string algorithm tasks

Solve two string algorithm tasks Answer both parts. A) Parentheses correction: Given a string s consisting only of '(' and ')', output the minimum num...

Coding & Algorithms
3
0
25 people solved
Jul 15, 2025
Uber logo
Uber
Medium
Software Engineer

Implement uniform sampling in squares

Implement uniform sampling in squares Implement a class Square representing an axis-aligned square on the 2D plane that supports sampling a uniformly ...

Coding & Algorithms
6
0
75 people solved
Jul 15, 2025
TikTok logo
TikTok
Medium
Software Engineer

Reconstruct a tree from two traversals

Reconstruct a tree from two traversals Given two arrays representing the preorder and inorder traversals of a binary tree with unique values, reconstr...

Coding & Algorithms
4
0
45 people solved
Jul 15, 2025
Palantir logo
Palantir
Medium
Software Engineer

Group employees by shared interests

Given N employees, each with an integer id and a set of interests (strings), write an algorithm to find all employees who share at least one common in...

Coding & Algorithms
17
0
185 people solved
Jul 15, 2025
TikTok logo
TikTok
Medium
Software Engineer

Check if two-group seating is possible

Check if two-group seating is possible Given an undirected graph represented as an adjacency list where adj[i] lists the indices of guests who know gu...

Coding & Algorithms
2
0
26 people solved
Jul 15, 2025
Instacart logo
Instacart
Medium
Software Engineer

Compute average customer waiting time

Compute average customer waiting time You are given n customer orders; each order i = [a_i, p_i] where a_i is the arrival time and p_i is the preparat...

Coding & Algorithms
6
0
82 people solved
Jul 15, 2025
DoorDash logo
DoorDash
Medium
Software Engineer

Debug and refactor a legacy module

Given a legacy module named DasherPicker and a failing test suite, systematically debug and refactor the code while following a provided review checkl...

Coding & Algorithms
40
0
310 people solved
Jul 15, 2025
Meta logo
Meta
Medium
Software Engineer

Evaluate arithmetic expression without parentheses

Evaluate arithmetic expression without parentheses Write evaluate(s: string) to compute the value of an arithmetic expression containing non-negative ...

Coding & Algorithms
3
0
38 people solved
Jul 15, 2025
Meta logo
Meta
Medium
Software Engineer

Implement weighted random index picker

Implement weighted random index picker Design a class WeightedPicker that is initialized with an array of positive integer weights w and supports pick...

Coding & Algorithms
2
0
24 people solved
Jul 15, 2025
Amazon logo
Amazon
Medium
Software Engineer

Design 2D DP on a DAG

Design 2D DP on a DAG Given a directed acyclic graph G(V, E) with N nodes, M edges, a designated source s, and an integer L, design a 2D dynamic progr...

Coding & Algorithms
6
0
54 people solved
Jul 15, 2025
Pinterest logo
Pinterest
Medium
Data Scientist

Implement DelayQueue with Idempotent Task Execution

Scenario Message broker offers DelayQueue where tasks execute at future timestamps, ensuring idempotency on duplicate IDs. Question Implement a delay ...

Coding & Algorithms
29
0
68 people solved
Jul 12, 2025
Pinterest logo
Pinterest
Medium
Data Scientist

Implement LRUCache with O(1) Operations and Thread Safety

Scenario High-traffic API needs constant-time eviction cache. Question Implement an LRUCache supporting get(key) and put(key,val) in O( 1). Describe ...

Coding & Algorithms
16
0
62 people solved
Jul 12, 2025
Pinterest logo
Pinterest
Medium
Data Scientist

Develop Auto-Complete System for Dish Suggestions

Scenario Search-as-you-type needs dish suggestions with popularity scores. Question Build an auto-complete system using the given (string, score) tupl...

Coding & Algorithms
5
0
25 people solved
Jul 12, 2025
Pinterest logo
Pinterest
Medium
Data Scientist

Decode and Explain Ambiguity in Compression Strings

Scenario Compression library that encodes an array as count-value pairs where value is one digit but count may be many digits. Question Implement deco...

Coding & Algorithms
14
0
38 people solved
Jul 12, 2025
Pinterest logo
Pinterest
Medium
Data Scientist

Maximize Non-Overlapping Task Scheduling Efficiency

Scenario Job scheduler on a single machine wants to maximise throughput. Question Given tasks with [start, end) times, return the maximum number of no...

Coding & Algorithms
13
0
8 people solved
Jul 12, 2025
Pinterest logo
Pinterest
Medium
Data Scientist

How to Design a Proportional Randomized Sampler?

Scenario Randomized promotion engine must pick an item proportional to its score, but scores have no upper bound. Question Design a sampler pick() tha...

Coding & Algorithms
21
0
52 people solved
Jul 12, 2025
Google logo
Google
Medium
Data Scientist

Implement Sampling and Minimize Loss in Numerical Coding

Scenario Numerical coding challenges on sampling and loss minimization. Question a) Implement functions to sample from truncated normal distributions ...

Coding & Algorithms
24
0
91 people solved
Jul 12, 2025
Google logo
Google
Medium
Data Scientist

Normalize Columns in Binomial Matrix Efficiently

Scenario Write code that creates a 100×100 matrix of Binomial(1, 0. 5) samples and normalizes each column so it sums to 1. Question Provide an efficie...

Coding & Algorithms
14
0
31 people solved
Jul 12, 2025
Capital One logo
Capital One
Medium
Data Scientist

Automate Python Virtual Environment Setup on Linux Terminal

Scenario Shell script that automates Python virtual-environment setup on a Linux terminal during a tech interview Question Walk through the script lin...

Coding & Algorithms
104
0
321 people solved
Jul 12, 2025
OneMain Financial logo
OneMain Financial
Medium
Data Scientist

Solve Python Challenges: Reverse String, Palindrome, Fibonacci, Unique List

Scenario Live coding round – four quick Python exercises Question Implement a function that reverses a string in-place. Write code that returns True i...

Coding & Algorithms
8
0
22 people solved
Jul 12, 2025

Frequently Asked Questions

How difficult are Coding & Algorithms interview questions?
Difficulty spans a wide range: from quick easy warm-ups to multi-stage hard problems that require advanced data structures or algorithmic proofs. Most companies place a majority of live coding rounds at the medium level, with occasional hard questions used to distinguish senior candidates. Interviewers evaluate problem framing, algorithm choice, time/space complexity, clean implementation, and thoughtful testing under time pressure. Expect more conceptual depth at Google, more consistent medium-to-hard screens at Meta, and Amazon to mix coding with leadership signals. Leveling depends on role and seniority: entry-level focuses on fundamentals; senior roles emphasize design, optimizations, and tradeoffs.
Where does Coding & Algorithms appear in a typical interview loop, and which companies weight it most heavily?
Coding & Algorithms is usually the first technical hurdle: it appears in phone/online screens, followed by one or more onsite or virtual coding rounds during the loop. Typical sequences are a technical screen, two to three in-loop coding sessions, then system design or behavioral rounds. Companies that weight this category heavily include Google, Meta, and Amazon, where coding performance often determines whether you progress. Candidates commonly concentrate practice for weeks or months beforehand; most targeting large tech firms prepare intensively for 6–12 weeks, while some spend 3–6 months for deeper mastery or level changes.
How long should I prepare and how should I structure that preparation?
Plan focused, progressive practice over a realistic timeline. A practical structure is an 8–12 week block: weeks 1–2 solidify fundamentals and language fluency; weeks 3–6 target core patterns (arrays, trees, graphs, DP) with timed problem sessions and pattern tagging; weeks 7–9 emphasize mock interviews, end-to-end problem solving, and optimization tradeoffs; final weeks simulate real loops with full-length sessions and targeted weak-point drills. Candidates with less experience may extend to 12–16 weeks. Regularly review mistakes, practice communicating solutions aloud, and include at least one weekly mock interview with peer or coach feedback.
What key subtopics and patterns should I master for Coding & Algorithms interviews?
Master a consistent set of patterns and their variations: arrays and strings (two pointers, sliding window), hash maps and frequency counts, sorting and binary search, recursion and backtracking, dynamic programming, trees and traversals, graphs (BFS/DFS, shortest paths, union-find), heaps and priority queues, and greedy algorithms. Also practice complexity analysis, space-time tradeoffs, and writing bug-resistant code with tests. For higher levels, focus on amortized analysis, advanced graph algorithms, segment trees or Fenwick trees, and system-aware optimizations. Interviewers value reusable problem templates and the ability to generalize patterns to new prompts.
What are standout tips and common pitfalls to avoid in Coding & Algorithms interviews?
Start by clarifying requirements and constraints, then outline your approach before coding. Write a correct, readable baseline solution first, then iterate to improve complexity while narrating tradeoffs. Test with simple and edge cases, and handle nulls, off-by-one, and empty inputs explicitly. Communicate continuously; silence looks like confusion. Avoid premature optimization, overcomplicating solutions, or ignoring interviewer hints. Time management matters: if stuck, discuss alternate approaches and code a partial solution. Finally, practice mock interviews to reduce anxiety and build the habit of clear, structured explanations under pressure.

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