Sharing the latest Amazon Internship Assessment questions (Amazon OA 2025) - most of the questions require greedy algorithms! When practicing, you can start with easy difficulty problems to master common solutions to a particular question type, such as greedy algorithms and dynamic programming. Once you are familiar with it, gradually challenge yourself with medium and more difficult problems!
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Question 1: Lifecycle management of TOKEN (system design thinking + HASHMAP operation) Idea: use a dict to store token_id → expiration time, iterate through all the commands, categorize and process them, if it is a create command, add it directly, if it is a reset command, first determine if the token is still alive, then update its expiration time, finally, take the largest T, see if the expiration time of each token is still greater than this time, count the number. If the expiration time of each token is still greater than this time, count the number.
Question 2: Who can be seen by the camera? (from right to left monotonic stack thinking) Idea: traverse the array from right to left, maintain a current maximum height max_height, if the current height is higher than max_height, that can see the lens, record the index, the final result of the inverse, ascending return. After writing the code, the interviewer also left a lot of time to consult the problem, tiktok encourage you to tell trade-off and optimization ideas.
Question 3 "Given a series of video durations and user attention durations, find the maximum total viewing time you can achieve by selecting a subset of videos such that no two selected videos exceed the user's attention duration when played consecutively." -This problem is classical dynamic programming solution with constraints need to understand the variation of the knapsack and constrained optimization
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Amazon SDE I Intern 2025 - OA question
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