You are developing a SQL Server Analysis Services (SSAS) tabular project. The model includes a table named Sales. The Sales table includes a single date column.
The Sales table must meet the following requirements:
✑ Queries must be able to return all rows.
✑ Must be able to support four different processing schedules for different date ranges.
✑ Date ranges must not include any overlapping data.
You need to implement a solution that meets the requirements.
What should you do?

A. Create four partitions for the Sales table. Create four roles. Use the same row filter queries for each role and partition.
B. Convert the Sales table into four smaller tables by using row filter queries. Use one perspective for all four tables.
C. Create four partitions for the Sales table. Use row filter queries for each partition.
D. Convert the Sales table into four smaller tables by using row filter queries. Use one perspective for each of the four tables.

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