LinkedIn Software Engineer Interview Questions

I’d start with the original goal, what changed, and how I adjusted my approach. Then I’d explain the trade-offs I made and how the final result still met the real need. A strong answer shows flexibility without losing control of the work.

I would use a queue protected by synchronization so producers and consumers do not corrupt shared state. Then I would add waiting and notification so consumers block when the queue is empty and producers block when it is full. The goal is to make the behavior safe, predictable, and efficient.

I would start by defining what makes a post relevant, then separate candidate generation from ranking and delivery. After that, I would think about freshness, personalization, and how to keep the system fast enough for a large user base. A good design balances relevance with scalability.

I would use two pointers, one for each list, and repeatedly take the smaller current item. That gives a simple linear-time solution. If I need to scale to many lists, I would switch to a heap-based approach.

I would track the best sum ending at each position and keep the global maximum as I scan the array. That is the standard dynamic approach because it avoids checking every possible subarray. It is efficient and easy to explain.