You have a Microsoft SQL Server database named DB1 that contains the following tables:
TBL1
- Column1 is configured as the primary key
- The table will contain 20 million records
- The table will contain historical data.
- Most queries of TBL1 return a high percentage of rows from the table with aggregates.
TBL2
- Column1 is configured as the primary key
- The table will contain 25 million records
- The frequency of updates and deleted to records in TBL2 is low.
- Most queries of TBL2 return a high percentage of rows from the table with aggregates.
There are no foreign key relationships between TBL1 and TBL2.
You need to minimize the amount of time required for queries that use data from TBL1 and TBL2 to return data. What should you do?
A. Create clustered indexes on TBL1 and TBL2.
B. Create a clustered index on TBL1.Create a nonclustered index on TBL2 and add the most frequently queried column as included columns.
C. Create a nonclustered index on TBL2 only.
D. Create UNIQUE constraints on both TBL1 and TBL2. Create a partitioned view that combines columns from TBL1 and TBL2.
E. Drop existing indexes on TBL1 and then create a clustered columnstore index. Create a nonclustered columnstore index on TBL1.Create a nonclustered index on TBL2.
F. Drop existing indexes on TBL1 and then create a clustered columnstore index. Create a nonclustered columnstore index on TBL1.Make no changes to TBL2.
G. Create CHECK constraints on both TBL1 and TBL2. Create a partitioned view that combines columns from TBL1 and TBL2.
H. Create an indexed view that combines columns from TBL1 and TBL2.
