Round: Full Journey · Type: Coding · Difficulty: 6/10 · Duration: 120 min · Interviewer: Unfriendly
Topics: Binary Search, Complexity Analysis, Data Structures
Location: San Francisco Bay Area
Interview date: 2025-04-29
Summary
Round 1: Coding
Question: I had to demonstrate my understanding of a language API. I actively analyzed and optimized the complexity of my solution. I implemented a brute force solution and then a slightly optimized version, but it still had a potential for an out-of-memory (OOM) error, different from the brute force's OOM. I finished two solutions and was working on the last while loop for the final optimization, looking up the API on the spot, when the time ran out. I then explained my approach and complexity.
Round 2: Coding
Question: Besides binary search, the interviewer asked if the initial brute force solution could be optimized to scan only once (my initial approach scanned twice). After thinking, I provided an explanation. Then, I wrote the binary search optimized solution. There was a follow-up question which I could have solved with another data structure for slight optimization. During the binary search, there was a critical point that I had to consider; the interviewer only mentioned it when I asked (and it affected the complexity analysis). I analyzed the complexity proactively.
Details
Preparation Tips & Key Takeaways
What I Learned
It's important to actively analyze and optimize the complexity of solutions.
Being able to explain and justify design choices is crucial.
Proactively asking clarifying questions can help uncover hidden requirements.
Recommended Preparation
Coding Practice
Practice common APIs and understand their performance characteristics.
Focus on optimizing brute force solutions, especially reducing the number of scans or passes through data.
Master binary search and related optimizations.
Complexity Analysis
Practice analyzing the time and space complexity of algorithms.
Pay attention to edge cases and how they affect complexity.
Data Structures
Know common data structures and how to use them to optimize solutions.
Resources I Recommend
LeetCode for practicing coding problems.
Documentation for commonly used APIs to understand their performance.
Common Pitfalls to Avoid
Failing to analyze the complexity of solutions.
Not asking clarifying questions to uncover hidden requirements.
Not being familiar with common APIs and data structures.