This is basically what I'm losing sleep over.
Acknowledge that both core problem-solving skills and advanced data structures have their place, but emphasize that Google interviews prioritize strong fundamentals and the ability to derive solutions. Recommend a balanced strategy: master the core 150 problems first, then selectively learn advanced structures like Fenwick and segment trees to handle niche problems.
Pro tip: Focus on understanding the underlying patterns and trade-offs rather than memorizing solutions; Google interviewers value candidates who can adapt and reason through unfamiliar problems.
Understand that Google onsite DSA rounds typically cover a range of topics, with an emphasis on problem-solving and algorithmic thinking rather than obscure data structures.
Master the core 150 Leetcode problems to build a strong foundation in arrays, strings, trees, graphs, dynamic programming, and common patterns.
Recognize that advanced structures like Fenwick trees and segment trees are occasionally tested, especially for roles dealing with large-scale systems or specific domains.
Allocate time to learn advanced structures after solidifying core skills, focusing on their use cases and implementation rather than rote memorization.
Solve problems that require advanced structures to understand when and how to apply them, ensuring you can derive solutions under pressure.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.