Data Storage and Query Optimization Questions

Focuses on selecting appropriate storage technologies and optimizing data access patterns. Topics include comparing relational and non relational databases, data modeling for common read and write patterns, indexing strategies and index costs, query execution plans and optimization techniques, caching and cache invalidation approaches, denormalization and materialized views, sharding and partitioning strategies, replication and failover considerations, and practical steps to diagnose and speed up slow queries. Candidates should justify choices based on constraints and demonstrate approaches to measure and improve performance.