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QUESTION 21
You are designing a partitioning strategy for a large fact table in a data warehouse. Tens of millions of new records are loaded into the data warehouse weekly, outside of business hours. Most queries are generated by reports and by cube processing. Data is frequently queried at the day level and occasionally at the month level. You need to partition the table to maximize the performance of queries. What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

A.    Partition the fact table by month, and compress each partition.
B.    Partition the fact table by week.
C.    Partition the fact table by year.
D.    Partition the fact table by day, and compress each partition.

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QUESTION 1
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A SQL Server Analysis Services (SSAS) cube contains billions of rows of data and is rapidly increasing in size. The cube consists of a single measure group and a single partition. The cube is currently processed by using the Process Full process option. You have the following requirements to reduce the cube processing time:
– Partition the measure group by month.
– Create a staging table that contains only data which is more recent than the last time the cube was processed.
– Do not include data updates or deletions in the staging table.
– Insert records from the staging table into the appropriate partition.
You need to change the process option to meet the requirements. Which process option should you choose? To answer, select the appropriate option from the drop-down list in the dialog box.
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