Top 75 system‑design questions shared

A short post on X turned into a small career event. It pointed readers to a Google Doc called “Top 75 System Design Questions,” framed around a specific anxiety: do fresh graduates now need to prepare for system-design interviews too? The answer in the document was not subtle. It grouped 75 prompts, attached topic tags like hashing, sharding, retries, and data modeling, and linked out to familiar prep sources such as the long-running System Design Primer on GitHub and GeeksforGeeks explainers (x.com, studocu.com). That mix explains why the list spread. It did not pretend to be a textbook. It acted like a filter. Instead of asking candidates to wander through the whole swamp of distributed systems, it narrowed the field to recognizable interview staples: design a URL shortener, a chat app, a notification system, a web crawler, a ride-hailing service, a search engine. The Studocu mirror of the document shows exactly that pattern, with each problem paired to one or two core ideas and then a resource link. It is less a secret leak than a carefully compressed syllabus (studocu.com). The post also landed because it touched a real ambiguity in hiring. System design used to be treated as a senior-engineer ritual. That is still broadly true at the top end. Google-focused interview guides based on recent candidate reports say Google’s dedicated system-design rounds are typically for software engineers at L5 and above, with 45-minute interviews centered on one large problem such as “Design YouTube” (igotanoffer.com, designgurus.io). Meta guides say much the same thing, placing formal system-design interviews at L4 and above and distinguishing them from product-design rounds (igotanoffer.com). But that is not the whole market anymore, which is why the document feels useful rather than misleading. Amazon’s own software-development interview prep says its technical interviews are divided into coding and system-design competencies, without carving out a neat exception for early-career candidates on the public prep page (amazon.jobs). Broader interview-prep sites also now talk openly about “system design for freshers,” and not just as theory. InterviewBit’s guide has a section explicitly labeled “System Design Interview Questions for Freshers,” while GeeksforGeeks has a separate article on why new grads should learn system design and where they may encounter it in interviews (interviewbit.com, geeksforgeeks.org). That does not mean new graduates are suddenly being asked to architect Google Search from scratch. It means the boundary has blurred. Companies can ask lighter versions of design questions long before they schedule a formal “system design round.” A candidate may be asked to sketch an API, reason about scaling a feed, explain cache placement, or talk through tradeoffs in a notification service. Those are system-design questions even when the recruiter does not use the phrase. The shared Google Doc is built for exactly that gray zone. It trains recognition before mastery (amazon.jobs, interviewbit.com). That is also why the list looks so familiar. Many of its links point back to the same public canon that has shaped interview prep for years, especially the System Design Primer repository, one of the most widely reused collections of architecture patterns and interview prompts in software engineering (github.com). The novelty was not hidden information. The novelty was packaging. Someone took the sprawling, repetitive world of system-design prep and turned it into a finite checklist with 75 boxes. In a hiring culture built on uncertainty, a finite checklist travels fast. The document did not resolve the debate over whether every fresh graduate will face a design round. The evidence does not support that. What it did do was answer the more practical question candidates actually have: if a design question shows up, what should I study first? The first line visible in the mirrored copy gives away the method. Next to “Design URL shortener,” the category reads “Data modeling + Hashing” (studocu.com).