Meta Coding & Algorithms Interview Questions

Preparing for Meta Coding & Algorithms interview questions requires focusing on algorithmic problem solving, writing production-minded code, and communicating tradeoffs under time

302 Questions 1 Company07.06.2026
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Software Engineer

Compare two string linked lists

Question Given two singly linked lists where each node stores one character as a string, determine whether the sequences of characters represented by ...

Coding & Algorithms
7
0
20 people solved
Jul 29, 2025
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Medium
Software Engineer

Solve various LeetCode data-structure questions

Question LeetCode 129. Sum Root to Leaf Numbers LeetCode 2089. Find Target Indices After Sorting Array LeetCode 270. Closest Binary Search Tree Value ...

Coding & Algorithms
16
0
46 people solved
Jul 29, 2025
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Medium
Software Engineer

Design prefix-sum function and max stack

Question LeetCode 303. Range Sum Query – Immutable (design a reusable prefix-sum function) LeetCode 716. Max Stack (similar design question) https://l...

Coding & Algorithms
4
0
15 people solved
Jul 29, 2025
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Medium
Software Engineer

Find closest BST value and remove parentheses

Question LeetCode 270. Closest Binary Search Tree Value LeetCode 1249. Minimum Remove to Make Valid Parentheses (follow-up: achieve without using a st...

Coding & Algorithms
13
0
55 people solved
Jul 29, 2025
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Medium
Software Engineer

Solve tree leaf sum and target indices search

Question LeetCode 129. Sum Root to Leaf Numbers LeetCode 2089. Find Target Indices After Sorting Array (array already sorted; require O(log n) time) h...

Coding & Algorithms
7
0
34 people solved
Jul 29, 2025
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Medium
Software Engineer

Check Palindrome and Add Decimal Strings

Question LeetCode 266. Palindrome Permutation – Given a string, determine whether any permutation can form a palindrome. Follow-up: If a palindrome pe...

Coding & Algorithms
24
0
66 people solved
Jul 29, 2025
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Medium
Software Engineer

Handle palindrome & decimal addition

Question LeetCode 266. Palindrome Permutation Given two non-negative decimal number strings, implement addition that supports a decimal point. https:/...

Coding & Algorithms
11
0
35 people solved
Jul 29, 2025
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Medium
Software Engineer

Solve vertical order & diameter variants

Question LeetCode 314. Binary Tree Vertical Order Traversal LeetCode 543. Diameter of Binary Tree – modified to return the number of nodes (edges + 1)...

Coding & Algorithms
1
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4 people solved
Jul 29, 2025
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Medium
Software Engineer

Design weighted random index picker

Design and implement a data structure that, given an array of positive integer weights w[0..n−1], supports pick() that returns index i with probabilit...

Coding & Algorithms
5
0
46 people solved
Jul 29, 2025
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Medium
Software Engineer

Compute longest increasing path in a matrix

Compute longest increasing path in a matrix Given an m × n integer matrix, return the length of the longest path of strictly increasing values, where ...

Coding & Algorithms
1
0
26 people solved
Jul 27, 2025
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Medium
Software Engineer

Traverse levels selecting nodes meeting a predicate

Traverse levels selecting nodes meeting a predicate Given the root of a binary tree and a predicate P(value) that returns true for certain node values...

Coding & Algorithms
2
0
17 people solved
Jul 27, 2025
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Medium
Software Engineer

Find minimum and most frequent number efficiently

Find minimum and most frequent number efficiently Given an unsorted integer array, write functions to: (a) find the minimum value; and (b) find any va...

Coding & Algorithms
2
0
22 people solved
Jul 27, 2025
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Medium
Software Engineer

Find k most frequent elements, discuss O(n)

Find k most frequent elements, discuss O(n) Given an integer array nums of length n and an integer k (where 1 ≤ k ≤ the number of distinct values in n...

Coding & Algorithms
4
0
33 people solved
Jul 27, 2025
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Medium
Software Engineer

Produce asymmetric side views of a binary tree

Produce asymmetric side views of a binary tree Given a binary tree, output two sequences: ( 1) Left-bottom-up view: for each depth, the first node vis...

Coding & Algorithms
2
0
43 people solved
Jul 26, 2025
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Medium
Software Engineer

Remove adjacent duplicate groups repeatedly

Remove adjacent duplicate groups repeatedly Given a string s, repeatedly delete any maximal contiguous group of identical characters whose length is a...

Coding & Algorithms
3
0
37 people solved
Jul 26, 2025
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Medium
Software Engineer

Implement string sum and weighted city picker

Implement string sum and weighted city picker Part A — Add two numbers represented as strings: Given two non‑negative integers provided as decimal str...

Coding & Algorithms
3
0
36 people solved
Jul 17, 2025
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Medium
Data Engineer

Solve library coding tasks in Python

Solve library coding tasks in Python Implement the following Python tasks: 1) Given a list of (category, points) for books, choose up to 3 books with ...

Coding & Algorithms
12
0
86 people solved
Jul 16, 2025
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Medium
Software Engineer

Implement range-sum tree and sort merged lists

Implement range-sum tree and sort merged lists 1) Given a binary tree whose nodes store integer values, and two integers low and high defining an incl...

Coding & Algorithms
4
0
38 people solved
Jul 16, 2025
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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
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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

Frequently Asked Questions

How difficult are Meta Coding & Algorithms interview questions?
Meta Coding & Algorithms questions are typically rated medium to hard and often grow tougher as you progress through rounds. Early screens usually aim to confirm correct problem solving and implementation ability, while onsite interviews expect robust algorithmic thinking, time and space optimality, and clear communication under pressure. Interviewers evaluate how you approach unfamiliar problems, move from brute force to optimized solutions, handle edge cases, and articulate complexity trade‑offs. Preparation should target speed, pattern recognition, and producing clean, testable code that can be reasoned about aloud during the interview.
Where in Meta's interview process do Coding & Algorithms questions appear, and how are they evaluated?
Coding and algorithms questions commonly appear in phone screens, technical online assessments, and the core onsite/virtual loop; they may be mixed with product or design conversations depending on role. Evaluations focus on problem decomposition, correctness, algorithmic efficiency, and code quality. Interviewers listen for clear problem statements, thoughtful trade‑offs, and how you validate solutions against edge cases and constraints. For more senior roles, emphasis shifts to selecting the right abstractions and reasoning about large inputs and performance. Communication, testing, and the ability to iterate from a simple approach to an optimized one are all part of the score.
How should I plan my interview preparation timeline for Meta Coding & Algorithms roles?
A disciplined timeline usually spans six to twelve weeks depending on experience and starting point. Begin with two to three weeks of fundamentals: solidify data structures, complexity analysis, and core algorithms. Follow with four to six weeks of focused practice on medium and hard problems, rotating topics and timing yourself, while documenting patterns and common mistakes. In the final two weeks, emphasize mock interviews, timed coding rounds, and refining communication and testing habits. Regularly review incorrect solutions to identify recurring gaps, and incorporate at least a few live mock interviews to habituate speaking through your thought process.
What key subtopics within Coding & Algorithms should I focus on for Meta interviews?
Concentrate on arrays and strings, trees and graphs (including BFS/DFS), hash maps, two‑pointer and sliding window techniques, recursion and backtracking, dynamic programming, and sorting/search algorithms. Also prepare on complexity analysis, space‑time tradeoffs, handling NULLs and edge cases, and writing robust test cases. For higher levels, emphasize understanding of algorithmic scalability, memory layout implications, and performance tuning. Equally important are clear coding style, readable variable names, and the ability to explain why a chosen data structure or algorithm best fits the constraints of the problem.
What standout tips, common pitfalls, and final advice for Coding & Algorithms interviews at Meta?
Start each problem by asking clarifying questions and describing a brute‑force approach before optimizing. Verbally outline your plan, write clean code with basic tests, and explain complexity at the end. Common pitfalls include diving into coding without validating edge cases, ignoring constraints, and failing to communicate assumptions. Avoid overfitting to memorized problems; instead, internalize patterns so you can adapt. Use mock interviews to sharpen pacing and feedback. Finally, remain calm if stuck: state hypotheses, try small examples, and iterate—interviewers value structured thinking and recoveries as much as perfect first attempts.

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