Meta (Facebook) LeetCode Interview Questions 2025: Complete List of 563+ Problems with Frequency and Topics

Meta Interview Question Trends 2025

The last 30 days of Meta interviews show increased focus on:

• Graph traversal problems (BFS/DFS variations)
• String manipulation with optimization constraints
• Tree problems involving BST properties
• Medium-difficulty problems that test multiple concepts
• Real-world scenario problems (like designing data structures)

How to Prepare for Meta Coding Interview with LeetCode

Step-by-Step Meta Interview Prep Guide

Week 1-2: Foundation Building

• Solve 20-30 easy problems to build confidence
• Focus on arrays, strings, and hash tables
• Practice explaining your thought process out loud

Week 3-5: Core Topics Deep Dive

• 40-50 medium problems covering trees, graphs, and dynamic programming
• Start timing yourself (aim for 30-35 minutes per medium problem)
• Review common Meta interview patterns

Week 6-8: Advanced Practice

• Tackle 20-30 hard problems
• Practice Meta-tagged problems specifically
• Mock interviews with peers or platforms

Week 9-12: Interview Simulation

• Full mock interviews under time pressure
• Review edge cases and optimization strategies
• Practice behavioral questions alongside coding

How Many LeetCode Questions Should I Solve for Meta?

For a solid preparation:

• Minimum: 150-200 problems (80% medium, 15% easy, 5% hard)
• Recommended: 250-300 problems with focus on Meta-tagged questions
• Comprehensive: 400+ problems if you have 3+ months to prepare

Quality matters more than quantity. Solving 150 problems thoroughly with multiple approaches beats rushing through 300 problems superficially.

Best LeetCode Problems to Practice for Meta Interviews

Topic-Wise Meta Interview Questions

Arrays and Strings:

• Two Sum variations
• Subarray problems with sliding window
• String manipulation and parsing
• Matrix traversal problems

Trees and Graphs:

• Binary tree traversals (inorder, preorder, postorder)
• Lowest Common Ancestor
• Graph traversal (BFS/DFS)
• Validation problems (valid BST, valid graph)

Dynamic Programming:

• Longest subsequence problems
• Path counting problems
• Optimization problems (min/max)
• 2D DP matrices

Meta Coding Interview Pattern: Medium Problems

The majority of Meta interviews focus on medium-difficulty problems that combine multiple concepts. These problems typically:

• Require 2-3 data structures
• Need optimization from O(n²) to O(n log n) or O(n)
• Have 3-4 edge cases to consider
• Allow for multiple solution approaches

Common Meta Interview Edge Cases and Tips

Edge Cases Meta Interviewers Look For:

• Empty inputs (null, empty arrays, empty strings)
• Single element inputs
• Duplicate elements
• Integer overflow scenarios
• Negative numbers
• Very large inputs (testing time complexity understanding)

How Meta Interviewers Evaluate LeetCode Solutions

Meta places high value on:

1. Clarity of thought process - Talking through your approach before coding
2. Code quality - Clean, readable, well-structured code
3. Complexity analysis - Accurate time and space complexity
4. Optimization - Finding the most efficient solution
5. Edge case handling - Proactive identification of corner cases
6. Testing - Walking through examples to verify correctness

Meta LeetCode Questions by Difficulty

Our platform organizes all 563 Meta problems by difficulty:

• Easy (18%): 100+ problems - Foundation building
• Medium (67%): 377+ problems - Interview core
• Hard (15%): 86+ problems - Advanced preparation

You can filter and sort these problems by:

• Frequency (most asked in last 6 months)
• Difficulty level
• Topic tags
• Acceptance rate
• Companies where the problem was also asked

Most Frequently Asked Meta LeetCode Questions (Last 6 Months)

Based on frequency data from recent interviews, these are the top categories appearing in Meta interviews:

1. High Frequency (Asked 20+ times)

   • Array manipulation problems
   • Binary tree traversal variations
   • Hash map applications

2. Medium Frequency (Asked 10-19 times)

   • Graph problems (BFS/DFS)
   • String problems with constraints
   • Dynamic programming basics

3. Regular Appearance (Asked 5-9 times)

   • Linked list problems
   • Stack and queue applications
   • Binary search variations

Meta vs Other FAANG: LeetCode Problems Comparison

Overlap Between Meta and Google Interview Questions

Approximately 40% of problems overlap between Meta and Google, particularly in:

• Array and string manipulation
• Tree traversal problems
• Graph algorithms

Questions That Appear at Meta and Amazon Interview Questions

Around 35% overlap with Amazon, focusing on:

• Dynamic programming
• System design coding components
• Optimization problems

Meta vs Microsoft Interview Questions LeetCode Question Overlap

About 30% shared problems, particularly:

• Data structure design
• Algorithm optimization
• Tree and graph problems

Which Companies Ask the Same LeetCode Problems as Meta?

Our cross-company analysis shows Meta problems also appear at:

• Google (highest overlap - 40%)
• Amazon (35% overlap)
• Apple (30% overlap)
• Microsoft (30% overlap)
• Netflix (25% overlap)

Meta Interview Questions by Role Level

Meta E3/New Grad LeetCode Interview Questions 2025

• Focus on fundamentals and medium problems
• 2 coding rounds typically
• Emphasis on clean code and basic optimization
• Common topics: arrays, strings, trees, hash tables

Meta E4 Interview LeetCode Questions 2025

• More emphasis on optimization and trade-offs
• May include system design coding components
• Expected to handle hard problems efficiently
• Strong focus on complexity analysis

Meta SWE Internship LeetCode Problems 2025

• Primarily easy to medium problems
• 1-2 coding rounds
• Focus on problem-solving approach
• Topics: basic algorithms and data structures

How to Explain Your Thought Process in Meta Coding Interviews

Stepwise Approach to Solve Meta Interview Problems

Step 1: Clarify the Problem

• Ask questions about inputs, outputs, constraints
• Confirm edge cases with interviewer
• Restate the problem in your own words

Step 2: Discuss Examples

• Walk through 2-3 examples (including edge cases)
• Trace through your logic verbally
• Confirm understanding before coding

Step 3: Propose an Approach

• Start with brute force if needed
• Discuss time and space complexity
• Explain optimization ideas

Step 4: Code the Solution

• Write clean, readable code
• Use meaningful variable names
• Add comments for complex logic

Step 5: Test and Verify

• Walk through your code with examples
• Check edge cases
• Discuss any remaining concerns

Interactive Meta LeetCode Problem Tracker

Our platform at hackmnc.com provides:

• Progress tracking for all 563 problems
• Sorting and filtering by frequency, difficulty, and topics
• Cross-company insights showing where else problems were asked
• Difficulty-based practice queues
• Topic-wise problem organization

Features of the Meta Problem Tracker:

• Mark problems as solved/attempted/to-review
• Filter by specific topics (arrays, trees, DP, etc.)
• Sort by frequency to prioritize high-value problems
• View acceptance rates and difficulty ratings
• Track your preparation progress over time

Practice Meta Tagged LeetCode Problems: Getting Started

Creating Your Practice Queue for Meta Interviews

1. Start with High-Frequency Easy Problems (Week 1)

   • Build confidence and speed
   • Master basic patterns

2. Move to High-Frequency Medium Problems (Weeks 2-6)

   • Cover all major topics
   • Practice optimization

3. Add Medium-Frequency Medium/Hard (Weeks 7-10)

   • Diversify problem types
   • Challenge yourself

4. Final Review: Top 50 Most Asked (Weeks 11-12)

   • Revisit highest frequency problems
   • Perfect your explanations

Meta Interview Mock Tests and Practice Resources

Best Courses to Prepare for Meta Interview LeetCode:

• Grokking the Coding Interview (Educative)
• AlgoExpert (specific Meta preparation)
• LeetCode Premium (Meta company tag access)
• Interview Cake (structured learning path)

Meta Onsite Coding Question Breakdown

A typical Meta onsite includes:

• Round 1: Medium array/string problem (45 min)
• Round 2: Medium tree/graph problem (45 min)
• Round 3: Medium dynamic programming or design problem (45 min)
• Behavioral: Integrated throughout or separate 30 min session

Pair Programming Practice for Meta Interviews

Meta values collaboration, so practice:

• Explaining your code to others
• Taking feedback and iterating
• Discussing trade-offs and alternatives
• Working through problems with a partner

Solved Medium LeetCode Problems Commonly Asked by Meta

While we can't reproduce full solutions due to copyright, our platform provides:

• Links to official LeetCode solutions
• Discussion of multiple approaches
• Complexity analysis
• Common pitfalls to avoid
• Similar problem recommendations

Stepwise Approach to Solve Meta Interview String Problems

String problems at Meta often involve:

1. Character frequency - Use hash maps
2. Sliding window - For substring problems
3. Two pointers - For palindromes and comparisons
4. String building - Consider StringBuilder for efficiency
5. Pattern matching - Know when to use KMP or Rabin-Karp

Advanced Tips: How Often Does Meta Ask Dynamic Programming Problems?

Dynamic programming appears in approximately 15% of Meta interviews, making it important but not dominant. Focus areas:

• 1D DP (Fibonacci-style problems)
• 2D DP (grid problems, LCS)
• Optimization problems
• Memoization vs tabulation approaches

Meta DP problems typically:

• Are medium difficulty
• Combine with other concepts (arrays, strings)
• Require optimization from recursive to DP
• Test space complexity optimization (O(n²) to O(n))

What Types of LeetCode Questions Does Meta Ask?

Meta's question selection emphasizes:

• Practical problems - Real-world scenarios
• Scalability - How solutions handle large inputs
• Multiple approaches - Showing different solutions
• Clean code - Production-quality standards
• Communication - Clear explanation of choices

Meta Interview Topics Frequency Explained

Based on 563 problems analyzed:

• Arrays (20%)
• Strings (15%)
• Trees (18%)
• Graphs (12%)
• Dynamic Programming (15%)
• Hash Tables (10%)
• Others (10%)

Behavioral and Coding Questions Combined

Meta integrates behavioral assessment with coding:

• "Tell me about a time you optimized code" - Then solve an optimization problem
• "Describe a difficult bug you fixed" - Then debug provided code
• "How do you handle ambiguous requirements?" - Then tackle an open-ended problem

Filter LeetCode Meta Problems by Topic and Frequency

Our platform allows you to:

• Select multiple topic filters simultaneously
• Sort by frequency (descending for high-priority)
• Filter by difficulty while maintaining topic selection
• View only problems asked in specific time periods
• See cross-company overlap for each problem

Conclusion: Your Path to Meta Success

Preparing for Meta coding interviews requires:

1. Strategic practice with the right 150-300 problems
2. Focus on medium difficulty (67% of interview content)
3. Understanding patterns in arrays, strings, trees, and graphs
4. Mastering communication of your approach and trade-offs
5. Consistent practice over 8-12 weeks

Use our comprehensive list of 563 Meta LeetCode problems to track your progress, focus on high-frequency questions, and build confidence for your upcoming interview.

Start Your Meta Interview Preparation Today

Visit our interactive problem tracker to:

• Browse all 563 Meta-tagged LeetCode problems
• Sort by frequency to prioritize your practice
• Filter by topics matching your weak areas
• Track your solving progress
• See which problems appear at other top companies

Remember: Meta interviews test not just your coding ability, but your problem-solving process, communication skills, and code quality. Practice consistently, explain your thinking clearly, and you'll be well-prepared for success.

Last updated: December 2025 This data is compiled from publicly shared interview experiences, community discussions, and candidate reports from the past 12 months. It is intended for educational and preparation purposes only.