Data Consistency and Reliability Questions

Assesses understanding of data consistency models and techniques for building reliable systems. Topics include the CAP theorem and practical implications, strong versus eventual consistency, transactional guarantees and isolation levels, distributed consensus and quorum protocols, replication strategies, idempotency and safe retry semantics, failure modes and recovery strategies, and monitoring and testing approaches that surface consistency issues. Candidates should explain trade offs among correctness, availability, and latency and describe patterns used to maintain data integrity under real world failures.