10+ Cheers Interactive Interview Questions and Answers

A system to sell 10 million burgers in 10 minutes

• Implement a high-traffic online ordering platform

• Utilize pre-ordering and queue management systems to handle the rush

• Have a countdown timer for the 10-minute sale period

• Ensure sufficient stock and staff to meet demand

• Offer limited-time promotions to attract customers

Design a system to allow users to claim 6M burgers in 10 minutes

• Implement a scalable backend system to handle high volume of requests

• Use load balancing to distribute requests evenly across servers

• Set up a queue system to manage incoming requests and process them efficiently

• Implement caching mechanisms to reduce response times

• Consider implementing rate limiting to prevent abuse of the system

I handle concurrent requests by implementing thread-safe data structures and using synchronization techniques.

• Use thread-safe data structures like ConcurrentHashMap in Java

• Implement locking mechanisms like synchronized blocks or ReentrantLock

• Utilize thread pools to limit the number of concurrent requests

• Consider using asynchronous programming to handle multiple requests efficiently

Utilize multiple distribution centers, automated burger assembly lines, and efficient transportation to distribute 6M burgers in 10 minutes.

• Set up multiple distribution centers strategically located to cover a wide area.

• Implement automated burger assembly lines to quickly produce a large number of burgers.

• Utilize high-speed transportation methods such as drones or conveyor belts to deliver burgers to various locations.

• Coordinate logistics and timing to ensure smooth and effic...read more

Ensure each user can only claim once, can distribute extra but not less

• Implement a system to track claimed rewards by users

• Set up validation to prevent users from claiming more than once

• Consider implementing a queue system to distribute rewards fairly

• Use a database to store user claims and track distribution

Utilize multiple distribution centers, automated assembly lines, and efficient transportation to distribute burgers quickly.

• Set up multiple distribution centers in strategic locations to cover a wide area

• Implement automated assembly lines to quickly prepare and package burgers

• Utilize efficient transportation methods such as drones or high-speed delivery vehicles

• Coordinate logistics and timing to ensure smooth and timely distribution

Implement a custom cron job parser as a take-home assignment for Software Engineer II position.

• Understand the cron syntax and how it works

• Parse the cron expression into separate fields (minute, hour, day of month, month, day of week)

• Implement logic to calculate the next execution time based on the current time and cron expression

• Handle edge cases like leap years, different month lengths, etc.

• Test your implementation with various cron expressions

Monolith is a single, large application while Microservices is a collection of small, independent services.

• Monolith is easier to develop and test as it is a single unit.

• Microservices offer better scalability and flexibility as each service can be developed, deployed, and scaled independently.

• Monolith can lead to dependencies and bottlenecks, while Microservices can be more resilient to failures.

• Microservices allow for technology diversity as each service can be developed usin...read more

To give away 6 million burgers in 10 minutes, a system design must include efficient production, distribution, and logistics.

• Implement a high-speed burger production line to meet demand.

• Utilize a network of delivery vehicles for quick distribution to various locations.

• Set up multiple giveaway stations to handle the volume of burgers being distributed.

• Coordinate with local authorities for traffic management and crowd control.

• Ensure proper staffing and training to efficiently h...read more

Sharding is a technique used to horizontally partition data across multiple databases to improve performance and scalability.

• Sharding helps distribute data across multiple servers to reduce the load on a single server.

• It can improve query performance by allowing parallel processing of queries across multiple shards.

• Common sharding strategies include range-based sharding, hash-based sharding, and composite sharding.

• Examples of sharded databases include MongoDB, Cassandra, and ...read more