Netflix backend engineer interviews typically focus on APIs, databases, system design, concurrency, caching, and data structures.
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system design
Medium
messaging
#1
1. [OA] Message Queue — handle asynchronous processing of streaming requests
Implement a Message Queue to manage the flow of streaming requests, ensuring reliability and performance under load. The queue should accommodate multiple producers and consumers.
Problem statement: Create a
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Input:
Output:
Explanation: A message was added to the queue.Constraints:
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- Queue operations must be thread-safe.
Problem statement: Create a
MessageQueue class with the following methods:-
push(message: str): add a message to the queue.-
pop() -> str: retrieve a message from the queue.-
size() -> int: return the current queue size.Example 1:Input:
push('First message')Output:
size() -> 1Explanation: A message was added to the queue.Constraints:
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1 <= message.length <= 100- Queue operations must be thread-safe.
system design
Medium
api design
#2
2. [OA] RateLimiter — control the rate of requests to streaming
Design a rate-limiting service for Netflix's API to prevent abuse and provide smooth customer experiences. Implement a class-based rate limiter that allows a specific number of requests in a given time window.
Problem statement: Create a
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Input:
Output:
Explanation: User makes a request at timestamp 1.Constraints:
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Problem statement: Create a
RateLimiter class with the following methods:-
is_request_allowed(user_id: str, timestamp: int) -> bool: returns True if request is within the limit and False otherwise.-
put_request(user_id: str, timestamp: int): logs a request.Example 1:Input:
user_id = 'user1', timestamp = 1Output:
TrueExplanation: User makes a request at timestamp 1.Constraints:
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1 <= user_id <= 10000-
timestamp >= 0.Related Netflix Backend Engineer interview prep
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