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A data warehouse is designed for analytical workloads (OLAP) , not transactional workloads (OLTP). It integrates data from multiple sources and supports complex queries, aggregations, and reporting for decision-making. A). storage for transactional LOB apps # describes OLTP (e.g., SQL Server, Azure SQL Database), not a data warehouse. B). transformation services # describes ETL/ELT pipelines (e.g., Data Factory), not the warehouse itself. C). read-only storage of historical data # partially true but too narrow; the key feature is analytics, not just storage. D). answers to complex queries across multiple sources # Correct and complete definition.