Oportun Interview Questions, Process, and Tips

The first round was a coding test, which was outsourced to an external vendor. I was asked 2 basic DSA questions, and there was discussions around the time and space complexity, and scope of optimizing the solutions. Post that there were a few questions around Spring Boot features and basic system design. The interviewer was professional throughout the interview, and the interview process felt more like a discussion, as compared to the standard interview process.

There was another round of coding - this time conducted by the organization itself. It consisted of a medium level DSA question on stacks. I wrote the code on my personal IDE and executed it there itself. The interviewer discussed about the possible edge cases and how I would deal with them. Post solving the question I was asked about my previous projects.

Q1. Discuss in detail about a scenario where a challenging production issue was handled.
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Q2. What are your responsibilities as a senior / team lead in the current organization?
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Q3. How did you handle conflicts with junior engineers and reporting managers?
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This was the final round where the discussion was largely around system design and HLD. It started off with questions are system design patterns and concepts. Then I was asked to design a booking design, with discussions around concurrency control and transaction management.

1 hour - Reverse linked list k at a time

Q1. Java 8 stream setup
Ans. 
Java 8 stream setup involves creating a stream from a collection or array and applying operations like filter, map, and reduce.
• Create a stream from a collection using stream() method

• Apply operations like filter, map, and reduce to process elements

• Use terminal operations like collect or forEach to get the final result
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Q2. CAP Theorem explanation wanted
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CAP Theorem states that in a distributed system, it is impossible to simultaneously achieve consistency, availability, and partition tolerance.
• Consistency: All nodes in the system have the same data at the same time.

• Availability: Every request gets a response, even if some nodes are down.

• Partition Tolerance: The system continues to operate despite network partitions.

• Examples: MongoDB prioritizes consistency and partiti...read more
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Q1. Dynamo db working style
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DynamoDB is a fully managed NoSQL database service provided by AWS, designed for high performance and scalability.
• DynamoDB is schema-less, allowing for flexible data models

• It offers high availability and durability through replication and automatic backups

• DynamoDB uses primary keys for data retrieval, with optional secondary indexes for querying

• It supports ACID transactions for consistency and reliability

• DynamoDB is de...read more
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Q2. Function vs method
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A function is a standalone block of code that can be called independently, while a method is a function that is associated with a class or object.
• Functions are standalone blocks of code, while methods are functions associated with classes or objects.

• Functions can be called independently, while methods are called on specific instances of classes or objects.

• Functions are defined outside of classes, while methods are defi...read more
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Q1. DP on Stock buy n sell
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Implement a dynamic programming solution for stock buy and sell problem.
• Use dynamic programming to find the maximum profit by buying and selling stocks.

• Keep track of the minimum stock price seen so far and update the maximum profit accordingly.

• Consider edge cases like no profit or negative profit.

• Example: Input [7, 1, 5, 3, 6, 4], Output 5 (buy at 1, sell at 6)
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