Question: Given an m*n array with different height values, find a path from (0,0) to (m-1,n-1) such that the maximum height along the path is minimized. I used Dijkstra's algorithm. Follow-up: Can this be implemented with DFS? What is the time complexity?
Round 2: Behavioral (BQ)
Question: A 40-minute behavioral interview covering topics like: What to do if someone on the team takes all the credit? How do I deal with difficult people? An experience multitasking? How to handle unreasonable requirements? What to do in a low-culture company?
Details
Preparation Tips & Key Takeaways
What I Learned
I need to be very prepared for behavioral questions as they can take up a significant portion of the interview.
Understanding the trade-offs between different algorithmic approaches (e.g., Dijkstra vs. DFS) is important.
Recommended Preparation
Coding Practice
Practice graph algorithms, especially Dijkstra's algorithm.
Review time complexity analysis for DFS and other search algorithms.
Behavioral Questions
Prepare STAR stories for conflict resolution, teamwork, and handling difficult situations.
Practice articulating my approach to problem-solving and dealing with ambiguity.
Resources I Recommend
LeetCode for algorithm practice.
Mock behavioral interviews with peers.
Common Pitfalls to Avoid
Not being able to clearly explain the time complexity of my solutions.