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Linkedin Placement Papers 2024

Overview

This page collects LinkedIn placement papers from 2024 with practice questions, worked solutions, and the exam pattern students reported that cycle. Use it when you want drive history: what the first round looked like, which topics repeated, and how to approach solutions. Work the sets below under a timer, then compare with newer material so your prep matches both established LinkedIn patterns and recent shifts.

LinkedIn Aptitude Mock Quiz

Timed placement-style MCQs with score and explanations after you submit. Use it to check speed and accuracy before the real test.

Questions15
Time10 min

Linkedin exam pattern 2024

Section What shows up Prep focus
Online assessment Coding and/or MCQ filter Weekly timed mocks
Technical rounds DSA, CS fundamentals, projects Live problem solving
HR / hiring manager Motivation and communication Specific, evidence-based answers

First round: LinkedIn Online Assessment
Skills emphasized: DSA, system design, product sense
Languages: Java, C++, Python

Sample Linkedin questions with solutions

These are practice-style questions aligned to patterns students report for LinkedIn drives around 2024. They are not leaked live papers. Work them timed, then read the solutions only after you have an answer.

Quantitative aptitude (2024)

Q1: Marked price discount

Problem: A shopkeeper marks goods 20% above cost and then gives a 10% discount. What is the profit percentage?

Solution: Let CP = ₹100. Marked price = ₹120. Discount = 10% of 120 = ₹12. SP = 120 − 12 = ₹108. Profit % = 8%.

Answer: 8%

Q2: Three workers

Problem: A finishes work in 12 days, B in 15 days, and C in 20 days. Working together, how many days do they need?

Solution: Take total work = LCM(12,15,20) = 60 units. A = 5/day, B = 4/day, C = 3/day. Combined = 12 units/day. Time = 60/12 = 5 days.

Answer: 5 days

Q3: Age ratio

Problem: The ratio of ages of A and B is 3:5. After 8 years the ratio becomes 5:7. Find A’s present age.

Solution: Let ages be 3x and 5x. (3x+8)/(5x+8) = 5/7 7(3x+8) = 5(5x+8) 21x + 56 = 25x + 40 4x = 16 → x = 4 A’s age = 12 years.

Answer: 12 years

Q4: Pipe fill

Problem: Pipe A fills a tank in 6 hours and pipe B in 8 hours. How long do they take together to fill it?

Solution: Combined rate = 1/6 + 1/8 = 4/24 + 3/24 = 7/24. Time = 24/7 hours ≈ 3 hours 26 minutes.

Answer: 24/7 hours

Q5: Simple interest

Problem: Find the simple interest on ₹8000 at 10% per annum for 2 years.

Solution: SI = (P × R × T) / 100 = (8000 × 10 × 2) / 100 = ₹1600.

Answer: ₹1600

Q6: Percentage recover

Problem: If 30% of a number is 150, what is the number?

Solution: 0.3x = 150 → x = 150 / 0.3 = 500.

Answer: 500

Q7: Average after replace

Problem: The average of five numbers is 20. One number 30 is replaced by 10. What is the new average?

Solution: Old sum = 5 × 20 = 100. New sum = 100 − 30 + 10 = 80. New average = 80 / 5 = 16.

Answer: 16

Q8: Series n(n+1)

Problem: Find the next term: 2, 6, 12, 20, 30, ?

Solution: Pattern: 1×2, 2×3, 3×4, 4×5, 5×6, 6×7. Next = 6 × 7 = 42.

Answer: 42

Coding practice (2024)

Coding Q1: Valid parentheses

Problem: Given a string containing only ‘()[]’, decide whether the brackets are balanced and correctly nested.

Approach: Scan left to right with a stack. Push opening brackets. On a closing bracket, the stack top must be the matching opener. At the end the stack must be empty.

Complexity: O(n) time, O(n) space

LinkedIn tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q2: Two Sum

Problem: Given an array of integers and a target, return indices of two numbers that add up to the target. Assume exactly one solution and you may not use the same element twice.

Approach: Walk the array once. For each value x, check whether target − x was seen earlier in a hash map of value → index. If yes, return both indices; else store x.

Complexity: O(n) time, O(n) space

LinkedIn tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q3: Longest substring without repeating characters

Problem: Given a string s, find the length of the longest substring without repeating characters. Example: ‘abcabcbb’ → 3 (‘abc’).

Approach: Sliding window with a map (or last-seen index) of characters. Expand the right pointer; when a duplicate appears inside the window, move the left pointer past the previous occurrence.

Complexity: O(n) time

LinkedIn tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q4: Merge overlapping intervals

Problem: Given a list of intervals [start, end], merge all overlapping intervals and return the non-overlapping set that covers the same ranges.

Approach: Sort by start time. Walk once, merging into the last interval in the result when the next start is ≤ current end; otherwise append a new interval.

Complexity: O(n log n) time from the sort

LinkedIn tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q5: Top K frequent elements

Problem: Given an integer array and an integer k, return the k most frequent elements. Order among equals can be arbitrary unless the problem says otherwise.

Approach: Count frequencies with a hash map, then use a heap of size k (or bucket sort by frequency) to extract the top k keys.

Complexity: O(n log k) with a heap

LinkedIn tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q6: Linked list cycle

Problem: Given the head of a linked list, return true if there is a cycle and false otherwise.

Approach: Floyd’s tortoise and hare: move one pointer one step and another two steps. If they meet, a cycle exists. If the fast pointer hits null, there is no cycle.

Complexity: O(n) time, O(1) space

LinkedIn tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q7: Binary tree level order

Problem: Given the root of a binary tree, return the level-order traversal (breadth-first) as a list of levels.

Approach: Use a queue. For each level, drain the current queue size, collect values, and enqueue children for the next level.

Complexity: O(n) time, O(n) space

LinkedIn tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Coding Q8: Coin change (min coins)

Problem: Given coin denominations and an amount, return the fewest coins needed to make that amount, or -1 if it is impossible.

Approach: Unbounded knapsack DP: let dp[x] be the minimum coins for amount x. For each coin, update dp[c..amount]. Initialize dp[0] = 0 and the rest to a large sentinel.

Complexity: O(amount × coins)

LinkedIn tip: Restate the problem, sketch a brute-force idea, then tighten it. Call out edge cases (empty input, single element, overflow) before you write code.

Deep prep notes for Linkedin

How the Linkedin Online Assessment usually feels

Students usually say the first round is time-tight - easy marks vanish if you sit too long on one hard question. For LinkedIn, skim the paper in a couple of minutes, mark what you can finish cleanly, and protect accuracy. Languages people commonly use: Java, C++, Python.

Topic weight hints

Area Why it matters at LinkedIn
DSA What usually helps you clear the first round
Core CS (OOPs / DBMS / OS) Technical interview depth
Professional Network, SaaS awareness Helps in managerial / HR conversations
Communication Explain your approach clearly; keep a few real examples ready for HR

14-Day sprint

  1. Days 1-3: Learn the 2024 pattern and take two sectional mocks
  2. Days 4-7: Closed practice on weak topics from your error log
  3. Days 8-10: Full mocks every other day; review the same day
  4. Days 11-14: Practice explaining projects out loud, light revision, sleep and IDs ready

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