You need to design a cube partitioning strategy to be implemented as the cube size increases. What should you do?

ROLAP stores aggregations in the relational database rather than SSAS multidimensional storage, but using it on local partitions does not address the need to distribute data across servers as cube size grows.

Remote partitions in SSAS store partition data on a separate Analysis Services instance, enabling horizontal scaling as cube size increases beyond a single server's capacity. Organizing them monthly provides a manageable partition granularity for both incremental processing and partition pruning during queries. This architecture offloads storage and query workload to additional servers, which is the recommended SSAS approach for large-scale deployments.

MOLAP on local partitions provides the best query performance within a single server, but keeping all partitions local does not enable horizontal scaling as cube size increases significantly.

Monthly local partitions improve query performance through partition pruning and simplify incremental processing, but all data remains on a single server, which does not solve the scaling problem.