You need to reduce the report processing time and minimize the growth of the database

You are reviewing the design of an existing fact table named factSales, which is loaded incrementally
from a SQL Azure database by a SQL Server Integration Services (SSIS) package each hour. The fact table
has approximately 4 billion rows and is dimensioned by product, sales date, and sales time of day.

The database administrator is concerned about the rapid growth of the database and users experience
poor reporting performance against this database. Reporting requirements have recently changed and
the only remaining report that uses this fact table reports sales by product name, sale month, and sale
year. No other reports will be created against this table.
You need to reduce the report processing time and minimize the growth of the database.
What should you do?

You are reviewing the design of an existing fact table named factSales, which is loaded incrementally
from a SQL Azure database by a SQL Server Integration Services (SSIS) package each hour. The fact table
has approximately 4 billion rows and is dimensioned by product, sales date, and sales time of day.

The database administrator is concerned about the rapid growth of the database and users experience
poor reporting performance against this database. Reporting requirements have recently changed and
the only remaining report that uses this fact table reports sales by product name, sale month, and sale
year. No other reports will be created against this table.
You need to reduce the report processing time and minimize the growth of the database.
What should you do?

A.
Create an indexed view over the fact table to sum orderTotal by month.

B.
Create a view over the fact table to sum orderTotal by month.

C.
Change the granularity of the fact table to month.

D.
Partition the fact table by productKey.

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