Distributed Query Processing involves executing a query across multiple interconnected databases or servers, optimizing the use of distributed resources to improve performance and scalability. It requires sophisticated algorithms to manage data distribution, query optimization, and result aggregation, ensuring efficient and accurate query results across diverse data sources.