2025 Azure Database Administrator Practice Test – Complete Exam Prep

The term "in-memory OLTP" specifically refers to a feature within Azure SQL Database that utilizes memory-optimized tables designed for high-performance transaction processing. This technology allows for faster data retrieval and manipulation since it stores tables directly in memory instead of on disk, which reduces latency associated with disk I/O operations. This is particularly beneficial for applications with high transaction rates, where speed and efficiency are critical.

In-memory OLTP leverages an entirely different engine that optimizes data structures and concurrency control to handle transactions much more efficiently than traditional disk-based databases. By using memory-optimized tables, applications can achieve lower response times and higher throughput, making it ideal for scenarios requiring real-time processing and analytics.

Other options refer to concepts not directly associated with the in-memory OLTP feature. For example, a backup and recovery model involves managing data backups and restoration processes, while low-level file access describes file system operations unrelated to OLTP. Advanced reporting services focus on generating reports rather than optimizing transaction performance. Therefore, the emphasis on memory-optimized tables as a means for enhanced transaction processing makes the second option the most accurate representation of in-memory OLTP in Azure SQL Database.