Design a Synchronously Replicated Hash Map
Last updated: August 14, 2026
Quick Overview
Design a synchronously replicated hash map that ensures data consistency across multiple nodes.
Oracle
August 14, 20260
0
9 solved
Design a synchronously replicated hash map that ensures data consistency across multiple nodes.
This question is typically asked during the onsite interview round for software engineering roles at Oracle to assess a candidate's ability to design distributed systems. The interviewer is evaluating the candidate's understanding of data replication, consistency models, and system architecture, as well as their ability to articulate design decisions and trade-offs.
What the Interviewer Expects
- Explain the requirements for the hash map, including data consistency and availability.
- Outline the high-level architecture, including nodes and replication strategy.
- Discuss the deep dive into synchronization mechanisms used for replication.
- Identify trade-offs related to consistency, latency, and fault tolerance.
- Consider scaling strategies for handling increased load.
Key Topics to Cover
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
- How would you handle node failures in your design?
- What consistency model would you choose and why?
- Can you explain how you would scale this system?
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Practice System Design ProblemsSample Answer
Requirements
To design a synchronously replicated hash map, we need to ensure that all operations on the hash map are consistent across multiple nodes. This includes requirements for data integrity, availability, ...
High-Level Design
The high-level architecture consists of multiple nodes that each hold a replica of the hash map. Each node will handle read and write requests. For synchronous replication, we can use a leader-followe...
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