Preparing for a DSA interview works best as a fixed daily routine rather than random problem bingeing. Pick one language, revise core data structures (arrays, strings, hashmaps, linked lists, stacks, trees, graphs, heaps), and then practise pattern-wise problems such as two pointers, sliding window, binary search, recursion, and dynamic programming. Give yourself 3–6 months, maintain a mistake log, revise weak patterns weekly, and switch to timed practice and mock interviews in the final weeks so the real interview feels familiar.

When you get a DSA question, do not jump straight to code. Restate the problem, ask clarifying questions about input size and edge cases, explain a brute-force solution first, and then improve it while thinking aloud. Interviewers evaluate your approach and how you handle hints, so narrate your reasoning, state the time and space complexity, and dry-run your code on an example before saying you are done.

A practical DSA interview preparation roadmap spans roughly 3–6 months. Start with one language and time/space complexity, then move through arrays, strings, hashing, linked lists, stacks, queues, trees, and graphs, followed by recursion and dynamic programming. In the final phase, solve mixed and company-style problems under a timer and take mock interviews. Follow a single roadmap end to end instead of switching between multiple plans halfway.

Popular options in India include curated lists like Blind 75, NeetCode 150, and the Striver and Love Babbar sheets. Any well-structured DSA interview preparation sheet works, as long as you complete it pattern by pattern, revise the problems you failed, and avoid hopping between sheets. If you are unsure which level suits your target companies, a mentor who has cleared these interviews can help you pick the right starting point.

A FAANG interview preparation course is useful if you need structure, deadlines, and accountability, but it is not mandatory to get selected. Many candidates crack these companies through disciplined self-study on coding platforms combined with mock interviews and revision. If you already follow a consistent routine, investing instead in 1:1 mentorship or personalised mock interviews often fixes individual weak spots that a recorded course cannot.

Cracking the Coding Interview and Elements of Programming Interviews are the two most recommended choices for a FAANG interview preparation book. Use the book to build fundamentals, understand common patterns, and learn how interviewers think, but pair it with daily problem-solving on coding platforms, because books alone will not build the speed a real interview demands.

For FAANG interview preparation in India, begin with DSA, since coding rounds carry the most weight for both freshers and experienced candidates. Fix a 4–6 month window, follow one structured roadmap or sheet, and practise on platforms with company-tagged questions. Freshers should also build one or two solid projects, while working professionals should revise LLD/HLD and polish their resume for screening. Referrals from employees speed up shortlisting, so start networking early.

Yes. FAANG interview preparation for experienced engineers goes beyond DSA — you are also tested on low-level and high-level system design, along with deep behavioural questions about trade-offs, ownership, and your projects. The grinding volume is usually lower, but the bar for code quality is higher, and your job-switch story is scrutinised closely, so prepare crisp, honest explanations for every role change.

Several well-known GitHub repositories for FAANG interview preparation compile pattern-wise question lists, complexity cheat sheets, and company-tagged problems shared by successful candidates. Treat them as a map, not a shortcut — pick one repository's list, solve the problems yourself, and resist the urge to keep collecting new repos. Reading solutions without attempting problems is the most common way these resources get wasted.

A mock interview is a simulated interview that follows the format, time pressure, and evaluation style of a real one. Its purpose is to let you practise thinking aloud, handle follow-up questions, and receive honest feedback on your communication and problem-solving before an actual offer is at stake. Regular mocks reduce anxiety and make the real interview feel like a familiar exercise rather than a high-pressure event.

Treat a mock interview like the real one. Revise the relevant patterns beforehand, set up a quiet space with a working mic and camera, and tell your interviewer the role or company style you are targeting so the problems match that level. Keep a notepad for feedback and go in with two or three specific doubts — such as your pace, structure, or nervousness — that you want evaluated.

In a mock interview, behave exactly as you would in the actual one: restate the problem, clarify constraints, think aloud, write clean code, and dry-run it against edge cases. Do not look up answers midway, and practise taking hints gracefully. At the end, ask for frank feedback on both your problem-solving and your communication, and note it down to fix in the next attempt.

Practising mock interviews with AI is a low-cost way to get repetitions — AI interviewers can quiz you on DSA, system design, or behavioural questions anytime, without judgement. Use them to build fluency in thinking aloud and to test your basics. Their limitation is that they cannot fully replicate the pressure, intuition, and nuanced feedback of a human, so combine them with occasional mock interviews taken by experienced engineers, ideally someone who has themselves cleared interviews at top product companies.

If you want mock interview practice online for free, start with peer mocks through friends, coding communities, or online study groups, and record yourself solving a problem aloud to review later. Freshers can pair up with seniors or batchmates and exchange honest feedback. Free practice builds the habit, but before a high-stakes interview, one or two paid 1:1 mocks with an experienced interviewer give calibrated feedback that peers usually cannot.