There is no shortcut, but a clear system works: strengthen DSA through consistent problem-solving, build depth in CS fundamentals like OS, DBMS and OOPs, know your resume projects inside out, and rehearse explaining your thought process out loud. Most candidates fail not because they lack knowledge, but because they cannot communicate their approach under pressure — which is exactly what structured mock practice fixes.

For working professionals, 2–3 months of focused prep with 1–2 hours on weekdays and longer weekend slots is a realistic runway; freshers often need 3–6 months to build DSA and fundamentals from scratch. What matters more than duration is consistency and feedback — a plan without mock interviews and honest review usually plateaus quickly.

It typically starts with an online assessment or 1–2 phone screens, followed by a loop of 3–4 rounds covering coding, system design or object-oriented design (lighter for junior roles), and behavioral questions — plus a dedicated Bar Raiser round that carries extra weight in the hiring decision. Every round evaluates you against the Leadership Principles alongside your technical skills, so preparing only for coding is a common mistake.

Expect 1–2 coding rounds focused on data structures and algorithms (arrays, strings, trees, graphs, dynamic programming), questions on CS fundamentals and your projects, and detailed behavioral questions mapped to Leadership Principles like Customer Obsession and Ownership. Behavioral answers are weighted heavily at this level, so memorized coding solutions alone rarely get you through the loop.

Use the STAR format — Situation, Task, Action, Result — and keep the focus on your individual actions, not just what the team did. Prepare 6–8 stories from real projects that you can flex across different questions, and always close with a measurable outcome and what you learned, because interviewers probe with follow-ups to test whether the story is genuine.

They are open-ended prompts like "Tell me about a time you disagreed with your manager" or "Describe a decision you took without complete data." Interviewers can spend 10–15 minutes on a single question, digging into what you specifically did, why, and what the impact was — so shallow, rehearsed-sounding answers get exposed quickly.

Mostly DSA basics (arrays, strings, linked lists, trees, recursion), OOPs concepts, DBMS and SQL queries, operating systems, networking fundamentals, and deep-dives into the projects on your resume. Product companies go deeper into problem-solving approach and code quality, while service-based companies often add puzzles and aptitude-style screening rounds.

AI tools are useful for unlimited reps — practising answers, fixing structure, and getting comfortable speaking — but they cannot fully replicate the pressure, unpredictable follow-ups, and calibrated judgment of an experienced interviewer. The best approach is to use AI for volume practice and then do at least a few mocks with a human mentor who can give specific, honest feedback on your communication and thought process.

Start with peer mocks — pairing with friends or community members preparing for the same role works well — and many college placement cells and coding communities run free group mocks. AI-based mock tools are another free option for daily practice, though for role-specific feedback, especially Amazon-style loops, a session with someone who has sat on the interviewer's side of the table adds a layer free tools cannot match.

Smart casuals are the safe default for most tech interviews in India — a clean formal or semi-formal shirt, trousers, and well-kept shoes work everywhere; full formals are rarely needed except for some corporate or client-facing roles. For video interviews, wear a neat solid-coloured top, sit against a tidy background, and sort your lighting — comfort matters, because fidgeting in uncomfortable clothes shows on camera.

Google's loop leans heavily on coding depth (usually two algorithm rounds), system design, and behavioral fit, so practise explaining your approach, complexity trade-offs, and alternate solutions clearly while you code. Work with a structured plan — roughly 8–12 weeks covering DSA patterns, design fundamentals, and project stories — and validate it with mock interviews instead of only grinding problems silently.

A mock interview is a simulated interview that mirrors the real format — the questions, time pressure, and follow-ups — followed by honest feedback on your answers and delivery. It genuinely helps, because most candidates know their material but lose offers to rambling answers, missed follow-ups, and nervous delivery, all of which surface only when someone experienced observes you under realistic conditions.

Specificity. Strong answers connect a real moment from your own experience — a problem you owned, a customer you helped, an improvement you drove — to the Leadership Principles, instead of repeating generic praise about Amazon's scale or innovation. Interviewers hear "I'm passionate about customer obsession" a hundred times; a concrete story that proves it is what stands out.

For SDE roles, yes — the coding rounds are almost entirely DSA, typically LeetCode medium-to-hard level covering arrays, trees, graphs, and dynamic programming, and you are judged as much on how you reason through the problem as on the final solution. That said, clearing the loop is not just DSA: behavioral and Leadership Principles rounds carry equal weight, so a coding-only strategy is the most common reason strong candidates get a "no".