Make the attempt
Choose a round and start the clock. Work independently while your answers save to your account.
THE PLACEMENT PRACTICE COLLECTION
Turn “I know this” into “I can explain it.” Practise under a real time limit, review your answers and make your next attempt more deliberate.
Built for pre-final and final-year students.
General software placements, plus an AI/ML technical track.
A focused attempt. An honest review.
One concrete thing to work on next.
Choose a round and start the clock. Work independently while your answers save to your account.
Submit to unlock objective scores, worked explanations and sample answers for written questions.
Use the rubric and next exercise. Choose optional AI feedback when you want another perspective.
“I am good at debugging.”
Explain a real symptom, how you isolated the cause, what you changed and the test that checked the fix. If you have not measured an outcome, say so.
The books follow this pattern: your attempt, a worked explanation, a review rubric and a concrete next step. Samples are illustrative, not achievements to copy.
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A year to practise with purpose. Start with the fundamentals, build your technical reasoning and learn to tell your story.
One payment. No automatic renewal.
Separate from the AI Interview course and live bootcamps.Purchasing accepts our terms and privacy notice. Full refund within 7 days if at most one distinct test has been submitted, including timed-out tests. Renew manually after expiry.
One hour per simulation: aptitude and computer science,
projects with SQL and algorithms, AI/ML, then HR.
Every new test progresses from Beginner to Intermediate to Advanced. Original prompts practise standard interview patterns, not copied employer papers or a claim that a particular question will be asked. Coding difficulty reflects algorithmic work; HR difficulty reflects the depth of follow-ups, not a personality rating.
The Python workspace uses the same editor as bootcamp exercises: highlighting, line numbers, indentation and autocomplete. There are 16 executable Python questions across the collection. Exam solutions remain locked until submission; sample output is not a verified coding grade.
Placement patterns: percentages, probability, Python, databases and operating systems, plus four executable coding problems. Beginner to advanced in every test.
60 min · 28 questions
60 min · 28 questions
Project walkthroughs, SQL joins and ranking, then Python coding patterns: sliding windows, two sum, intervals and caching. Two executable Python tasks per test; SQL remains written review.
60 min · 8 questions
60 min · 8 questions
Leakage, model evaluation, retrieval and applied design. Two executable Python tasks per test cover metrics, preprocessing, vector similarity or ranking.
60 min · 12 questions
60 min · 12 questions
Tell me about yourself, why this role, strengths and weaknesses, then behavioral evidence and difficult follow-ups. Difficulty reflects response depth, not a personality score.
60 min · 6 questions
60 min · 6 questions
Edition 4: every test follows a visible difficulty progression. Screening tests have four executable Python questions each; technical and AI/ML tests have two each. Each new test has a 60-minute deadline. Existing attempts retain their original questions and timing. SQL remains written review. Sample runs are not official coding grades.
Answers are saved during a test. Expired tests are locked using their last saved answers, even if the browser was closed. Results remain available after natural pass expiry; new tests and AI feedback require an active pass.
No saved tests to show yet. Start a test to build your practice history.
Original practice, not leaked employer questions. No live interviewer, employer endorsement or placement guarantee. AI means artificial intelligence; ML means machine learning; HR means human resources; CS means computer science; SQL means Structured Query Language; DSA means data structures and algorithms.