Question bank practice for a Google FDE interview, with sample answers across recruiter screens, coding, design, AI, and behavioral rounds
5 sections · 14 lessons
Define the interview loop, the key questions to ask before the call, and a simple scoring rubric for spotting weak rounds.
2 lessonsApply sample answers to recruiter-screen prompts and common DSA problems across arrays, strings, hashing, trees, graphs, heaps, and dynamic programming.
3 lessonsBuild clear responses to open-ended implementation prompts, then diagnose bugs and requirement changes with concise assumptions and fixes.
2 lessonsExamine core AI and ML questions, agentic system design, and RAG follow-ups with attention to enterprise workflows, observability, and regressions.
3 lessonsEvaluate ownership, collaboration, and customer-facing Googleyness answers, then rehearse with a mixed mock and lock in a one-week review plan.
4 lessonsThe course starts with the Google FDE interview loop and the kinds of questions candidates are likely to face, then builds a full practice bank for each major round. It gives beginner-friendly sample answers for recruiter screens, coding, loose-requirement implementation, AI and ML fundamentals, agentic design, RAG, and Googleyness so you can see what strong responses sound like. The result is a focused prep set for candidates who want representative questions answered clearly and completely.
Google FDE interview rounds, recruiter-screen questions, arrays, strings, hashing, trees, graphs, heaps, dynamic programming, vibe coding, AI and ML fundamentals, agentic system design, RAG, production follow-up, and Googleyness. It also covers mixed mock practice and a one-week revision plan for targeted review.
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Something to operate in every section.
Three findings from decades of learning research shaped how every Fenzo lesson is built.
Average pass rate · Freeman et al., PNAS 2014
What the science says
Students in lecture-only classes are 1.5× more likely to fail.
How Fenzo does it
Every Fenzo lesson is interactive. No passive reading or watching, ever.
You work through itAI does it for you
Skill retention over time · with vs. without practice
What the science says
Offloading thinking to AI erodes the very skills you’re trying to build.
How Fenzo does it
Fenzo makes you do the thinking — guided, but never done for you.
Retrieval practiceRe-reading
Long-term recall · retrieval vs. re-reading
What the science says
Recalling information beats re-reading it for building durable understanding.
How Fenzo does it
Lessons weave in quizzes and recall prompts, so it sticks.