Practice Distributed Systems interview questions covering CAP theorem, consistency models, consensus algorithms, distributed transactions, replication, and fault tolerance.
Distributed systems interviews are among the most demanding in engineering — they require you to reason rigorously about partial failures, network partitions, and consistency trade-offs without a clean mathematical solution guaranteed. They are standard at infrastructure companies, cloud platforms, fintech firms, and any team building high-availability services.
The CAP theorem is the canonical starting point, but interviewers increasingly push into PACELC (partition-tolerance, availability, and consistency under normal operation latency). Know the consistency models on the spectrum from strong consistency (linearisability) through sequential, causal, and eventual consistency — and the real-world databases that implement each. Consensus algorithms(Raft, Paxos, multi-Paxos, Zab) appear in advanced interviews: understand Raft's leader election, log replication, and the committed-entry guarantee.
Distributed transactions (two-phase commit, saga pattern) and replication strategies (primary-replica, multi-primary, quorum-based) round out the must-know areas. Design questions — designing a distributed key-value store, a distributed cache, or a globally consistent ledger — synthesise all these concepts. Use the Top 50 Distributed Systems Interview Questions to build structured answers that move from requirements to trade-off analysis to a concrete design decision.
