What this prompt does
This prompt prepares you for distributed-systems interviews at the [level] you set, quizzing you across the canonical topics. It covers CAP theorem implications for a [system_type], consistency models for [consistency_scenarios], consensus algorithms like Raft and Paxos, distributed transactions (2PC versus Saga) for [transaction_scenario], partitioning strategies for [data_type], replication topologies, clock synchronization, failure detection, and a full design question on [design_question]. After each topic it poses an interviewer-style follow-up, then scores your understanding and recommends study priorities.
The structure works because distributed systems interviews test whether you can apply trade-offs to concrete scenarios, not recite definitions — and every topic here is anchored to a real scenario variable. Tying consistency models to [consistency_scenarios] forces you to justify strong versus eventual versus causal per use case, which is exactly the reasoning interviews probe. [transaction_scenario] grounds the 2PC-versus-Saga discussion, [data_type] shapes partitioning advice, and the per-topic follow-ups rehearse the full back-and-forth of a real round. Setting [system_type] ties the CAP discussion to a concrete design like an e-commerce inventory and orders system, and [design_question] gives you a full design exercise to walk end to end, so the session moves from focused concept drills to an integrated problem the way a real interview escalates.
When to use it
- You are preparing for senior or staff distributed-systems interviews
- You want to drill CAP trade-offs against a concrete system type
- You need to justify consistency-model choices per real scenario
- You want to rehearse consensus, replication, and partitioning explanations aloud
- You are designing a multi-service backend and want to refresh the trade-offs
- You want scored feedback with prioritized study recommendations
Example output
Expect a quiz-style deep dive: each topic explained against your scenario variables, followed by an interviewer-style follow-up question to answer. For the design portion it walks [design_question] as you would in a real round. It ends by scoring your understanding across topics and recommending study priorities, so you know which areas — say, consensus or clock synchronization — need the most work. Along the way it covers replication topologies, failure detection via heartbeats and gossip, and the distinction between Lamport and vector clocks, giving you a full sweep of the canonical interview surface.
Pro tips
- Set
[level]to your target band, since staff-level follow-ups push deeper than senior ones - Make
[consistency_scenarios]realistic and varied so you practice defending eventual, strong, and causal choices distinctly - Ground
[transaction_scenario]in a real cross-service flow to make the 2PC-versus-Saga trade-off concrete - Match
[data_type]to your domain so the partitioning advice (hash versus range) is relevant - Answer each per-topic follow-up out loud before reading on; defending trade-offs under pressure is the actual skill
- Use the final study-priority recommendations to focus practice on your weakest areas rather than re-reviewing strengths
