Build a two to three month plan covering the four things interviewers actually test: DSA problem solving, CS fundamentals like OOPs, OS, DBMS and networks, your resume projects in depth, and clear communication. Solve problems consistently instead of only watching tutorials, maintain a revision sheet of patterns you struggle with, and reserve the final two to three weeks for timed practice and mock interviews rather than new topics.

Treat it as a communication test as much as a coding test: clarify the problem before coding, think aloud, discuss time and space complexity, and test your own code with edge cases. Most candidates get rejected for panicking on unseen problems or staying silent, not for lacking knowledge, so practise solving unfamiliar problems live and prepare crisp answers for your introduction and projects.

The loop usually involves one or two screening rounds followed by around four onsite rounds that are heavily DSA-focused, along with role-related and behavioural rounds. Go deep on trees, graphs, dynamic programming and complexity analysis, practise coding without IDE hints or autocompletion, and narrate your trade-offs while solving. Do not rely on memorized answers, because you are expected to derive the approach in front of the interviewer.

Most product companies follow the same broad flow: resume shortlist, an online assessment with aptitude and two to four coding problems, then one to three technical rounds on DSA, CS fundamentals and projects. Experienced candidates additionally face system design rounds, and the process usually ends with a hiring manager or HR discussion. Service-based companies often add group discussions and give weightage to academic scores.

Expect DSA questions on arrays, strings, hashing, trees and graphs, quick checks on OOPs, OS, DBMS and networking concepts, and deep-dive questions on your own projects, including why you built them, what trade-offs you made and how you would scale them. For senior roles, add system design, and for almost every role, closing questions on why you want to join the company.

Freshers are usually tested on aptitude, easy-to-medium DSA, core academic subjects, SQL basics and detailed walkthroughs of academic projects or internships. Since there is no work experience to lean on, interviewers probe fundamentals and learning attitude, so be ready to explain every technology, line and decision mentioned on your resume.

Yes, because they reveal a specific company's round structure, difficulty level and favourite topics, which helps you prepare realistically instead of blindly. Just treat them as a map and not a question bank, since companies rotate questions and reading dozens of posts creates false confidence. Use them to shortlist topics, then validate yourself by solving unseen problems under timed conditions.

For most software roles in India, neat smart casuals such as a collared shirt, trousers and clean shoes are completely acceptable even at top product companies. Wear formals for banks, consultancies and client-facing roles, and for virtual interviews, prioritise a tidy background, good lighting and a presentable top half. Nobody judges your outfit more than your code, but looking put-together sets a professional tone.

Pick one language, commonly C++, Java or Python, get comfortable with its syntax, then learn time complexity basics and move through topics in order: arrays and strings, hashing, two pointers, sorting and searching, linked lists, stacks and queues, trees, graphs and finally dynamic programming. Solve one or two easy problems daily instead of binge-studying on weekends, because consistency beats intensity in DSA.

A realistic three to four month roadmap: month one for complexity, arrays, strings, hashing and searching or sorting; month two for linked lists, stacks, queues, recursion and trees; month three for heaps, greedy techniques, graphs and an introduction to dynamic programming; month four purely for revision, mixed timed practice and mock coding rounds. Learn by patterns like sliding window and binary search on answer instead of memorizing individual solutions.

Placement tests reward speed and breadth: they mix aptitude, CS MCQs and several easy-to-medium coding questions in very little time, so quick pattern recognition matters more than cracking one hard problem. Regular interview preparation can go deep into tough DP and graph problems, but for placements, prioritise high-frequency easy-medium patterns, previous placement papers and last-week revision notes.

Self-study with free problem sets and public roadmaps is enough if you are disciplined and can pick the right problems in the right order. A structured course or mentor adds value when you keep procrastinating, do not know what to solve next, or have plateaued despite months of effort, since the real benefit is curated sequencing and feedback rather than shortcuts. Whichever route you take, no course can substitute for solving problems yourself.

They replicate what solo practice cannot: explaining your approach aloud, coding under observation, and handling follow-ups and silences from an interviewer. Mocks expose blind spots such as freezing on easy questions, skipping complexity analysis or giving weak introductions while you still have time to fix them. Candidates who do three to five mocks usually walk into real interviews noticeably calmer.

Use AI for unlimited reps: generate topic-wise problems, simulate coding rounds with rapid follow-up questions, get instant feedback on your code, and rehearse your introduction and project explanations at any hour. The gap is that AI cannot fully recreate the pressure, unpredictability and human judgement of a real interviewer, so combine high-volume AI practice with a few 1:1 mock interviews with experienced engineers for realistic feedback.

Yes, arguably even more than for experienced candidates, because freshers typically lose marks to nervousness and poor articulation rather than weak knowledge. Start with mock interviews online through college groups, friends or AI-based practice, then take at least a couple of 1:1 mocks with seniors or working engineers who can give structured feedback on both content and communication. Even two or three serious sessions before placement season can visibly change your performance.