LinkedIn Loop Rounds IC2
Summary
I went through LinkedIn's IC2 interview loop, which included an elimination round, DSA round, AI + coding round, hiring manager interview, system design interview, and a technical communication round.
Full Experience
Sharing my LinkedIn IC2 interview loop experience for anyone preparing for similar interviews.
Here are the questions/topics that were covered across the rounds:
Elimination Round
- Maximum Depth of Binary Tree
- Zigzag Level Order Traversal
Round 1 – DSA
- Max Points on a Line / Max Collinear Points
- Minimum Length Substring
Round 2 – AI + Coding LRU Cache with Counters Given different workloads, predict/calculate the cache hit/miss ratio The round involved combining coding with reasoning around the AI/system behavior
Round 3 – Hiring Manager Behavioral questions Discussion around past projects and experiences
Round 4 – System Design Design Google Calendar Discussion around the architecture, components, scalability, and design decisions
Round 5 – Technical Communication Deep dive into past projects Detailed discussion around technical decisions, challenges, trade-offs, and implementation
Hope this helps.
Interview Questions (7)
Maximum Depth of Binary Tree
Given the root of a binary tree, compute the maximum depth (or height) of the tree, which is the number of nodes along the longest path from the root node down to the farthest leaf node.
Zigzag Level Order Traversal
Given a binary tree, return its node values in a zigzag level order traversal (also known as “snake” order), where the first level is traversed left‑to‑right, the second level right‑to‑left, and so on.
Max Points on a Line
Given a set of points in a 2D plane, determine the maximum number of points that lie on the same straight line.
Minimum Length Substring
Find the smallest substring of a given string that satisfies a specific condition (e.g., contains all required characters or meets a particular pattern). The exact requirement was not detailed in the post.
LRU Cache with Counters
Implement an LRU (Least Recently Used) cache that, in addition to standard get/put operations, maintains counters or metrics for cache usage.
Cache Hit/Miss Ratio Calculation
Given different workload patterns, calculate or predict the cache hit and miss ratios, discussing how workload characteristics affect cache performance.
Design Google Calendar
Design a scalable calendar service like Google Calendar. Discuss architecture, core components, data storage, synchronization, scalability, and design trade‑offs.