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Meta Placement Papers 2024 - Previous Year OA Questions & Solutions

Company Overview

Section titled “Company Overview”

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

Meta Online Assessment 2024 Pattern

Section titled “Meta Online Assessment 2024 Pattern”
SectionQuestionsTimeDifficultyFocus Areas
Coding Problems3-460-90 minMedium-HardArrays, 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

Section titled “Meta Placement Papers 2024 - Actual Questions & Solutions”

DSA Coding Problems (2024)

Section titled “DSA Coding Problems (2024)”

Question 1: Valid Parentheses

Section titled “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

Section titled “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)

Section titled “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

Section titled “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

Section titled “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

Section titled “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
Section titled “Related Resources”

Meta Interview Experience

Real interview experiences from successful candidates

Read Experiences →

Meta Main Page

Complete Meta placement guide with eligibility, process, and salary

View Main Page →

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