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LinkedIn placement papers 2024

LinkedIn placement papers 2024. Primary filter: LinkedIn Online Assessment. Focus: DSA, system design, product sense.

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

Practice-style questions (not leaked live papers).

Coding Q1: Two Sum

Approach: Hash map complements.

Complexity: O(n)

LinkedIn tip: Narrate brute force then optimize then edge cases before coding.

Coding Q2: Longest substring without repeat

Approach: Sliding window + last index.

Complexity: O(n)

LinkedIn tip: Narrate brute force then optimize then edge cases before coding.

Coding Q3: Merge intervals

Approach: Sort + merge.

Complexity: O(n log n)

LinkedIn tip: Narrate brute force then optimize then edge cases before coding.

Coding Q4: Top K frequent

Approach: Count + heap.

Complexity: O(n log k)

LinkedIn tip: Narrate brute force then optimize then edge cases before coding.

Coding Q5: Linked list cycle

Approach: Floyd tortoise-hare.

Complexity: O(1) space

LinkedIn tip: Narrate brute force then optimize then edge cases before coding.

Coding Q6: Level order traversal

Approach: BFS queue.

Complexity: O(n)

LinkedIn tip: Narrate brute force then optimize then edge cases before coding.

Coding Q7: Coin change min coins

Approach: DP unbounded.

Complexity: O(amount*coins)

LinkedIn tip: Narrate brute force then optimize then edge cases before coding.

Coding Q8: Binary search

Approach: Lo/hi mid.

Complexity: O(log n)

LinkedIn tip: Narrate brute force then optimize then edge cases before coding.

Coding Q9: Kadane max subarray

Approach: Running best.

Complexity: O(n)

LinkedIn tip: Narrate brute force then optimize then edge cases before coding.

Coding Q10: Reverse a string in-place

Approach: Two pointers from ends.

Complexity: O(n)/O(1)

LinkedIn tip: Narrate brute force then optimize then edge cases before coding.

How the LinkedIn Online Assessment Usually Feels

Section titled “How the LinkedIn Online Assessment Usually Feels”

Candidates describe a paced filter where easy marks disappear if you over-invest in one hard item. For LinkedIn, start with a three-minute scan, mark certainty levels, and protect accuracy. Languages typically include Java, C++, Python.

Area Why it matters at LinkedIn
DSA Primary shortlist signal
Core CS (OOPs/DBMS/OS) Technical interview depth
Professional Network, SaaS awareness Managerial / HR differentiation
Communication Especially for consulting and client-facing GSIs
  1. Days 1-3: pattern familiarization + 2 sectional mocks
  2. Days 4-7: weak-topic closed practice
  3. Days 8-10: full mocks every other day
  4. Days 11-14: interview narration + light revision

Aptitude

Drills

Coding

DSA

OA

Assessment

Hub

LinkedIn

Microsoft · Google · Meta · Atlassian · Uber · Amazon