You are redesigning a SQL Server Analysis Services (SSAS) database that contains a cube named Sales. Before the initial deployment of the cube, partition design was optimized for processing time…

The Usage-Based Optimization Wizard reads the SSAS query log to identify the MDX query patterns most frequently executed against the cube, then designs aggregations specifically tuned to those patterns. This directly addresses query performance bottlenecks caused by the original partition design that prioritized processing time over query speed. Because it operates on the existing partitions, no partition restructuring is needed.

The Aggregation Design Wizard creates aggregations based on a target performance gain percentage rather than actual usage patterns, making it less precise at resolving real-world query bottlenecks than the Usage-Based Optimization Wizard.

Combining all five partitions into one eliminates the ability for SSAS to process partitions in parallel, harming processing performance and making the large single partition harder to maintain.

This choice is identical to choice C - combining partitions into one - and carries the same drawbacks of losing parallel processing capability and increasing partition management complexity.