Meta Placement Papers 2024 - Previous Year OA Questions & Solutions

Company Overview

This page contains Meta placement papers from 2024 with previous year online assessment questions, solutions, and exam patterns.

2024 Pattern

The 2024 Meta placement process emphasized DSA mastery and system/product design. Online assessment included 3-4 coding problems focusing on arrays, strings, trees, and graphs.

Meta Online Assessment 2024 Pattern

Section	Questions	Time	Difficulty	Focus Areas
Coding Problems	3-4	60-90 min	Medium-Hard	Arrays, strings, trees, graphs

Total: 3-4 problems, 60-90 minutes

Platform: Meta assessment platform
Languages Allowed: Python, C++, Java
Success Rate: ~15-20% cleared OA and advanced to interviews

Meta Placement Papers 2024 - Actual Questions & Solutions

DSA Coding Problems (2024)

Question 1: Valid Parentheses

Q1: Given a string containing just the characters ’(’, ’)’, ', ', ’[’ and ’]’, determine if the input string is valid.

Example:

Input: "()[]{}"
Output: true

Solution (Python):

def isValid(s):
    stack = []
    mapping = {')': '(', '}': '{', ']': '['}

    for char in s:
        if char in mapping:
            if not stack or stack.pop() != mapping[char]:
                return False
        else:
            stack.append(char)

    return not stack

Time Complexity: O(n)
Space Complexity: O(n)

Question 2: Merge K Sorted Lists

Q2: Merge k sorted linked lists and return it as one sorted list.

Solution (Python):

import heapq

def mergeKLists(lists):
    heap = []
    for i, lst in enumerate(lists):
        if lst:
            heapq.heappush(heap, (lst.val, i, lst))

    dummy = ListNode(0)
    current = dummy

    while heap:
        val, idx, node = heapq.heappop(heap)
        current.next = node
        current = current.next

        if node.next:
            heapq.heappush(heap, (node.next.val, idx, node.next))

    return dummy.next

Time Complexity: O(n log k)
Space Complexity: O(k)

2024 Hiring Trends

Hiring Volume

• Total Hires: 800+ freshers in India
• E3: 600+ selections
• E4: 200+ selections

Salary Packages

• E3: ₹50-65 LPA total compensation
• E4: ₹80-100 LPA total compensation

Key Insights from 2024 Meta Online Assessment

1. Coding Section is Critical: Must solve 3-4 coding problems correctly to advance
2. DSA Focus: Strong emphasis on arrays, strings, trees, and graphs
3. System Design: Heavy emphasis on system design for senior roles (E4+)
4. Move Fast Culture: Behavioral questions focus on “Move Fast and Break Things” mindset
5. Time Management: 60-90 minutes for 3-4 problems requires excellent speed
6. Difficulty Level: Meta interviews rated 3.2/5 difficulty
7. Success Rate: Only 15-20% cleared OA and advanced to interviews
8. Social Media Scale: Focus on problems related to social media scale and real-time systems

Meta 2024 Interview Experiences

Based on candidate experiences from 2024 Meta interviews:

2024 Interview Process:

1. Online Assessment (60-90 minutes): 3-4 coding problems
2. Technical Phone Screen (45-60 minutes): Coding problems, algorithm discussions
3. Onsite Interviews (4-5 rounds, 45 minutes each):
   • Coding rounds (2-3): Algorithms, data structures, problem-solving
   • System Design round: Critical for senior roles (E4+) - social media scale
   • Behavioral round: “Move Fast and Break Things” culture fit

Common 2024 Interview Topics:

• Coding: Arrays, strings, trees, graphs, valid parentheses, merge k sorted lists
• System Design: Facebook News Feed, social media systems, real-time systems, scalability
• Behavioral: Data-driven decision making, fast iteration, breaking things to learn
• Social Media Scale: Problems related to handling millions of users

2024 Interview Questions Examples:

• “Design Facebook News Feed” (System Design)
• “Clone Graph” (Coding)
• “Valid Parentheses” (Coding)
• “Merge K Sorted Lists” (Coding)
• “Tell me about a time you used data to persuade leadership to change a decision” (Behavioral)

Success Tips:

• Strong coding performance is essential - solve problems optimally
• Practice system design for social media scale - critical for E4+ roles
• Prepare examples demonstrating data-driven decision making
• Show “Move Fast” mindset - rapid iteration and learning from failures
• Practice social media scale problems - millions of users, real-time systems
• Be ready to discuss breaking things to learn and improve

Difficulty Rating: 3.2/5

For detailed interview experiences, visit Meta Interview Experience page.

Preparation Tips for Meta 2024 Pattern

1. Master Coding Fundamentals: Focus on solving 3-4 coding problems correctly - arrays, strings, trees, graphs
2. Practice Previous Year Papers: Solve Meta OA papers from 2020-2024 to understand patterns
3. Time Management: Practice completing 3-4 coding problems in 60-90 minutes
4. System Design Mastery: Heavy focus on system design for senior roles - social media scale
5. LeetCode Practice: Solve 200+ LeetCode problems focusing on Meta tag (medium-hard difficulty)
6. Social Media Systems: Practice designing systems for Facebook scale - News Feed, messaging, etc.
7. Behavioral Prep: Prepare examples demonstrating “Move Fast” culture and data-driven decisions
8. Mock Tests: Take timed practice tests to improve speed and accuracy
9. Real-time Systems: Learn about real-time systems and handling millions of concurrent users
10. Data-Driven Examples: Prepare examples showing how you used data to make decisions

Related Resources

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Meta Coding Questions

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Meta Interview Experience

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Read Experiences →

Meta Preparation Guide

Comprehensive preparation strategy for Meta placement

View Preparation Guide →

Meta Main Page

Complete Meta placement guide with eligibility, process, and salary

View Main Page →

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Practice 2024 papers to understand Meta OA pattern and prepare effectively!