After building the 52-question bank, I went back and tagged each question by which company most commonly asks it and at what frequency. The pattern is clearer than I expected.
Here’s what it shows — and what it means for your prep if you have a specific company in your loop.
Amazon
The most-asked question at Amazon is a variant of marketplace matching or recommendation. Design the product search system. Design the recommendation engine. Design the shopping cart and inventory reservation.
The probe Amazon reaches for most consistently: what happens at scale? The interviewers are looking for whether you’ve thought about the system failing under load, not just the happy path. Estimation with consequences is weighted heavily at Amazon because of the Well-Architected Framework culture internally.
If you have an Amazon loop: prioritize Uber Dispatch (geospatial matching), Amazon Product Search, and the Distributed Task Queue. The infrastructure archetype is also heavily represented at Amazon — URL shortener, API gateway, rate limiter.
Google
Google asks the hardest technical questions in the bank. The most-asked questions are in the search and infrastructure archetypes: web crawler, search autocomplete/typeahead, Google Docs (collaborative editing), distributed file systems.
The probe Google reaches for: can you go deep on the hard distributed systems problem? Google interviewers typically don’t probe breadth — they probe depth on one component until you hit the edge of your knowledge.
If you have a Google loop: prioritize the hardest question in each archetype (CRDT/OT for collaborative editing, consistent hashing for caches and sharding, bloom filters for crawlers). You won’t need to cover 10 questions in depth — you need to be able to go very deep on whichever question they ask.
Meta
Meta asks social feed questions at a much higher rate than other companies, which makes sense given the products: Facebook feed, Instagram feed, Stories, Reels. The fan-out architecture in all its variants is the most commonly asked pattern.
The probe Meta reaches for: the celebrity problem and how you handle it. Large-account fan-out is a real operational challenge at Meta’s scale, and every interviewer there has direct experience with the tradeoffs.
If you have a Meta loop: be extremely solid on Twitter Timeline (the canonical fanout question), Instagram Feed (adds ML ranking on top), TikTok-style recommendation (adds ANN search), and WhatsApp/Messenger (their messaging infrastructure).
Stripe
Stripe’s questions are almost all in the money movement archetype. Payments, fraud detection, ledger design, rate limiting for their API.
The probe Stripe reaches for: correctness under failure. Idempotency, double-entry ledger design, exactly-once-or-at-least-once semantics, what happens when a webhook fails and retries. Stripe engineers have to think hard about these problems in their actual work, and the interview reflects that.
If you have a Stripe loop: be very solid on Stripe Payments (especially idempotency keys), payment fraud detection, and distributed rate limiting.
Apple
Apple asks a lot of file sync and storage questions — makes sense given iCloud. Also streaming media (Apple Music, Apple TV+) and messaging (iMessage).
If you have an Apple loop: prioritize Dropbox/Google Drive, iCloud Photos, Spotify Audio Streaming (same patterns as Apple Music), and WhatsApp (same core as iMessage).
The pattern across all companies
Every company clusters around the products they actually build. The hardest preparation mistake is treating all 52 questions as equally likely.
If you have a specific company in your loop and 3 weeks to prepare, the most efficient path is: identify the 2–3 archetypes most relevant to that company, go deep on those archetypes, and do one solid drill per archetype. Then use the remaining time for your weakest archetype as a hedge.
Breadth matters less than targeted depth at this stage of prep.
CTA: The Question Vault is organized by company and archetype, so you can focus your prep where it matters. Each drill card shows the specific questions, patterns, and probes to prioritize for your target company. All 52 walkthroughs are in the Vault.
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—Sumedh
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The Question Vault has all 52 walkthroughs organized by archetype — so you can see the pattern across questions, not just the surface answer.
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Thanks for your excellent post! What about companies in the financial field such as JP Morgan? Or consulting firms like McKinsey & Company? What questions do they ask in such companies? Thanks