Designing Database Solutions for Microsoft SQL Server Free Practice Test — 30 Questions

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Question 1 of 30

A rapidly expanding e-commerce enterprise is experiencing a surge in daily product sales transactions, necessitating a robust database solution capable of handling high-volume, near real-time data ingestion. Simultaneously, the business intelligence department requires the ability to perform complex, long-term trend analysis on historical sales data to inform strategic marketing campaigns and inventory management. The IT department is concerned about maintaining optimal performance for both operational transactions and analytical queries, while also adhering to data retention policies that mandate the preservation of historical sales records for at least seven years. Which database design and implementation strategy would best balance these competing requirements, ensuring both transactional efficiency and analytical performance over an extended period?

Implement a hybrid transactional and analytical processing (HTAP) architecture using in-memory technologies for operational tables and a separate columnar store for historical data, with scheduled data synchronization between the two.
Utilize a single, highly normalized relational database schema for all data, employing advanced indexing techniques and materialized views to optimize both transactional inserts and analytical queries.
Design a purely relational database with aggressive data archiving policies, moving all data older than one year to a separate, read-only archival database to reduce the load on the primary operational system.
Employ a distributed NoSQL database solution optimized for high-velocity data ingestion, and export aggregated data periodically to a separate relational database for analytical purposes.

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