Start by mastering the core concepts — scalability, load balancing, caching, SQL vs NoSQL databases, sharding, message queues, and CAP theorem. Then study 10–15 classic design problems such as a URL shortener, chat app, news feed, and rate limiter, and practise presenting each design aloud within 35–40 minutes. Reading alone is not enough; walk through your designs with someone experienced so you get feedback on structure, trade-offs, and communication, since those carry most of the weight in the room.

Follow a consistent framework: clarify functional and non-functional requirements, estimate scale (users, requests per second, storage), sketch a high-level design, deep-dive into two or three key components, and finish with bottlenecks and trade-offs. Interviewers are judging how you handle ambiguity and justify decisions, so think aloud, state assumptions explicitly, and invite the interviewer's input instead of jumping straight to a final architecture.

Frequently asked prompts include designing a URL shortener, a WhatsApp-style chat system, a Twitter or Instagram news feed, an Uber-style ride matching service, a video platform like YouTube, a rate limiter, and a distributed key-value store. The exact prompt matters less than your coverage of requirements, scale estimation, data modelling, and trade-offs — interviewers at Google and Amazon reward structured reasoning over a memorised solution.

Alex Xu's System Design Interview – An Insider's Guide (Volumes 1 and 2) is the most widely used starting point because it walks through real problems with clear diagrams. Pair it with Designing Data-Intensive Applications if you want deeper fundamentals. Keep in mind that books build knowledge, but you still need live practice presenting and defending a design under time pressure.

It is a popular online course that teaches system design through a repeatable framework and step-by-step solutions to classic problems like URL shorteners, chat apps, and news feeds. It is a solid way for beginners to build a mental template. Since real interviews are interactive, supplement it with mock interviews where you must clarify requirements, whiteboard a design, and answer probing follow-ups.

Work backwards from the interview loop. Cover data structures and algorithms first using a curated problem list instead of random grinding, then system design if you are mid-level or above, and behavioural stories in the STAR format throughout. A realistic FAANG interview preparation roadmap spans 3–6 months alongside a full-time job, with weekly mock interviews in the final 4–6 weeks before applications.

For most working professionals, 3–6 months of consistent effort — around 1–2 hours on weekdays plus longer weekend sessions. If your DSA fundamentals are already strong, 6–8 weeks focused on system design and behavioural preparation can be enough. Freshers and engineers switching from service-based companies usually need closer to 6 months to build the depth these interviews demand.

Work backwards from a target application window. Reserve weekdays for 1–2 quality DSA problems and weekends for system design and mock interviews. FAANG interview prep in India is intensely competitive, so track the patterns you fail at, build referral channels early, and start applying only when you can consistently solve medium-to-hard problems within 25–30 minutes.

Self-study is enough if you are disciplined — curated problem lists, standard books, and free videos cover the full syllabus. A FAANG interview preparation course mainly buys structure and accountability, which helps if you keep postponing prep; the same applies to a FAANG interview prep bootcamp. What generic programs rarely give is personalised feedback on your communication and design reasoning, which is exactly where 1:1 mock interviews and mentoring add the most value.

Most rounds test arrays and strings (two pointers, sliding window), hash maps, linked lists, trees and graphs with BFS/DFS, heaps, binary search, and dynamic programming. Typical examples include two-sum variants, LRU cache, merge intervals, and longest substring without repeating characters. Practise explaining your approach before coding, because solving correctly in silence still costs marks in most FAANG loops.

Patterns win. Learning coding interview patterns — two pointers, sliding window, fast and slow pointers, binary search on answer, BFS/DFS, backtracking, and dynamic programming — trains you to recognise which template fits an unseen problem. Random grinding builds stamina but transfers poorly; 150–200 well-chosen problems studied by pattern typically beat 500 solved unsystematically.

Use whichever language you can write fluently under pressure. Java is extremely common among engineers in India and is fully accepted at every FAANG company, while Python's concise syntax lets you express solutions in fewer lines when time is tight. Interviewers assess problem-solving, not the language, so switching languages late in preparation usually hurts more than it helps — pick one and stick with it.

As a syllabus, yes — it lays out the complete topic list in a sensible order and is a great checklist. As a complete plan, no. Working through it builds foundations, but you also need timed practice, spaced revision of weak patterns, system design preparation if you are an experienced candidate, and mock interviews with feedback. Treat it as your curriculum, not your whole strategy.

Plan for roughly 5–8 mocks spread across the final 4–6 weeks, covering coding, system design, and behavioural rounds. Run each one under real conditions — timed, camera on, thinking aloud — and act on the feedback between sessions. Candidates who skip mocks often know the material yet struggle with pacing, nerves, and explaining trade-offs, which is precisely what repeated mock practice fixes.

Usually, yes. Resumes typically get under 10 seconds of screening, and the most common rejection reasons — listing responsibilities instead of measurable impact, missing scale or performance metrics, and cluttered formatting — are hard to spot in your own writing. A resume review for FAANG roles by someone who has screened candidates at that bar quickly surfaces these red flags, and even one revision round usually leads to noticeably more interview calls.