Amazon backend engineer interviews typically focus on APIs, databases, system design, concurrency, caching, and data structures.
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system design
Senior
messaging
#1
1. [OA] Messaging Queue — Implementing a Stream Processing Service for Amazon
To handle asynchronous processing in Amazon's services, we need a robust messaging queue service.
Problem statement: Design a
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Input:
Output:
Output:
Output:
Output:
- The number of messages will not exceed
Problem statement: Design a
MessageQueue class that supports the following methods:-
void send(string message): to add a new message to the queue.-
string receive(): to retrieve and remove a message from the front of the queue, returns an empty string if the queue is empty.-
int size(): returns the number of messages currently in the queue.Example 1: Input:
MessageQueue mq = new MessageQueue();mq.send("msg1");Output:
null mq.send("msg2");Output:
null mq.receive();Output:
"msg1" mq.size();Output:
1Constraints:- The number of messages will not exceed
10^4.
system design
Senior
api design
#2
2. [OA] RateLimiter — Design a Service to Control API Requests
To maintain the performance of APIs across Amazon's services, implementing a rate limiting mechanism is crucial.
Problem statement: Design a
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Input:
Output:
Output:
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Problem statement: Design a
RateLimiter class that controls requests to an API. It should allow a maximum of limit requests per second. Implement the following methods:-
bool allowRequest(string userId): returns true if the request should be allowed.-
int getRequestCount(string userId): returns the number of requests made by the user in the last second.Example 1: Input:
RateLimiter rateLimiter = new RateLimiter(5);rateLimiter.allowRequest("user1");Output:
true rateLimiter.allowRequest("user1");...// After 6 calls, the 6th should return falseOutput:
falseConstraints:-
1 <= limit <= 100-
1 <= userId.length <= 30.Related Amazon Backend Engineer interview prep
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