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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. The answer: D Reference: What is a data warehouse?