You have a data warehouse named DW1. An OLAP cube named Cube1 uses DW1 as its data source. Cube1 uses the MOLAP storage mode. You create a SQL Server Integration Services (SSIS) package that updates…

Medium-latency MOLAP triggers MOLAP cache rebuilds after a medium silence interval and can temporarily drop to ROLAP mode during the rebuild window, potentially exposing aggregation processing overhead during active querying.

Scheduled MOLAP rebuilds the MOLAP cache on a fixed schedule regardless of query activity, which means the aggregation store can be dropped and rebuilt at a time that may coincide with active query periods.

Low-latency MOLAP triggers very frequent MOLAP cache rebuilds to minimize data latency, which increases the likelihood that aggregation reprocessing overlaps with active user queries - working against the requirement to reduce processing during querying.

Automatic MOLAP uses proactive caching to monitor source data changes and rebuild the MOLAP cache automatically, but it respects configurable silence intervals so the cache is not rebuilt during peak query activity - ensuring aggregations are always served from the pre-built MOLAP store and minimizing aggregation processing during cube querying.