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Code: Q1. Design and implement a distributed cache system in Java, capable of handling high-throughput read and write requests across multiple nodes. The goal is to ensure data consistency and fault tolerance in case of node failures. Implement the following features: 1. Data Partitioning: Use consistent hashing to distribute data across multiple cache nodes. 2. Fault Tolerance: When a node fails, ensure that its data is redistributed to other nodes without losing information. 3. Read and Write Operations: Provide efficient APIs for put(key, value) and get(key) operations. 4. Concurrency: Ensure thread-safe operations for the cache. 5. Scalability: Allow dynamic addition and removal of nodes without affecting system performance. Constraints: • Implement the solution in a single Java class for simplicity. • Do not use third-party libraries for consistent hashing. Deliverables: • A working Java implementation of the distributed cache. • Explanation of your design decisions, including trade-offs.
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Senior Java Developer

Interviewed at Andersen Lab

4.4★
Mar 14, 2025

Code: Q1. Design and implement a distributed cache system in Java, capable of handling high-throughput read and write requests across multiple nodes. The goal is to ensure data consistency and fault tolerance in case of node failures. Implement the following features: 1. Data Partitioning: Use consistent hashing to distribute data across multiple cache nodes. 2. Fault Tolerance: When a node fails, ensure that its data is redistributed to other nodes without losing information. 3. Read and Write Operations: Provide efficient APIs for put(key, value) and get(key) operations. 4. Concurrency: Ensure thread-safe operations for the cache. 5. Scalability: Allow dynamic addition and removal of nodes without affecting system performance. Constraints: • Implement the solution in a single Java class for simplicity. • Do not use third-party libraries for consistent hashing. Deliverables: • A working Java implementation of the distributed cache. • Explanation of your design decisions, including trade-offs.

I didn't do the screening part properly I think. If you are not used to pair programming or cannot grasp the concept in an hour then you are out. They give you a small problem and you have to fix the failing unit tests. Mine was around the concept of event listeners, events, event managers etc. I think I was a bit stressed with the fact that they were watching me code and I have a limited time.
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Senior Java Developer

Interviewed at Atlassian

3.2★
Oct 10, 2013

I didn't do the screening part properly I think. If you are not used to pair programming or cannot grasp the concept in an hour then you are out. They give you a small problem and you have to fix the failing unit tests. Mine was around the concept of event listeners, events, event managers etc. I think I was a bit stressed with the fact that they were watching me code and I have a limited time.

Before each client interview there was a technical screening, done by one of the technical employees from company. I was given the job description and skills client was looking. All questions were around the given skill set. They just wanted to make sure they are having right candidate before sending them for client interview.
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Senior Java/J2EE Developer

Interviewed at Everforth Apex Systems

3.6★
Oct 24, 2019

Before each client interview there was a technical screening, done by one of the technical employees from company. I was given the job description and skills client was looking. All questions were around the given skill set. They just wanted to make sure they are having right candidate before sending them for client interview.

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