PLACEMENTDO · LEARN, PRACTISE, REVIEW
Free preparation guides for students and early-career candidates. Work through a question, check your reasoning, and leave with a specific improvement for your next attempt.
Start with a short project explanation. State the problem, your contribution, one trade-off, and the result. Have someone ask a follow-up you did not prepare.
Structure an answer without memorising a script →Separate a concept gap from a reading error or a rushed calculation. Practising more questions will not fix a misunderstood rule until you revisit the rule itself.
Build an aptitude error log →Trace an empty input, a duplicate, a boundary value, and an input that breaks your assumption. Explain both the algorithm and why those tests matter.
Study worked coding examples →A WORKED PRACTICE SESSION
You do not need an account, a subscription, or an AI interviewer for this exercise. Use a timer and a sheet of paper. The example below is fictional: use it to understand the method, not as a story to claim as your own.
“I improved the performance of our library app and made it much faster.”
“In our coursework library app, I changed the book-search endpoint so it queried only the fields used in the results list. On my laptop, using the same 1,000-record fixture and ten repeated searches, the median response time fell from 240 ms to 150 ms. That is a 90 ms reduction, or 37.5% of the original time. This was a local test, not proof of production performance. Next I would test concurrent requests and a larger dataset.”
The stronger answer names the change and the test conditions. It also admits what the evidence cannot establish. The calculation is (240 − 150) ÷ 240 × 100 = 37.5%; do not confuse that latency reduction with a universal claim that every user task became 37.5% faster.
These questions are a self-review checklist, not a hiring score. If you cannot answer one, choose that gap for tomorrow's practice. Do not rewrite a weak example into a fictional achievement.
The written guides are free to read without an account. The dashboard and interactive tour are product demonstrations with sample profiles, questions, transcripts, credits, and reports. They do not provide a live AI interview, personal assessment, or a paid plan. No launch date is promised.
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Examples are teaching illustrations, not verified candidate experiences unless explicitly identified as such. Product descriptions should distinguish working features from demonstrations. If you find an incorrect calculation, outdated process, or unsupported claim, send the page URL and the correction to support@placementdo.app. A publication date is not a promise that every employer's process remains unchanged.