you need to deal with temporary data in the most efficient way to minimize physical disk pressure

You use SQL Server 2014. The physical server is a dedicated database server that has
120GB of RAM available. There is approximately 50GB of storage space available on a slow
local disk.
You create a new stored procedure. You decide you need to temporarily hold approximately
300,000 rows from two tables, from which you will compute two complex business scores.
The stored procedure will use temporary storage defined as follows:

The code will make several passes through the data, applying complex calculations before
writing the data to a permanent disk-based table in the same database from which it reads
the data.
For this stored procedure, you need to deal with temporary data in the most efficient way to
minimize physical disk pressure.
What should you do? More than one answer choice may achieve the goal. Select the BEST
answer.

You use SQL Server 2014. The physical server is a dedicated database server that has
120GB of RAM available. There is approximately 50GB of storage space available on a slow
local disk.
You create a new stored procedure. You decide you need to temporarily hold approximately
300,000 rows from two tables, from which you will compute two complex business scores.
The stored procedure will use temporary storage defined as follows:

The code will make several passes through the data, applying complex calculations before
writing the data to a permanent disk-based table in the same database from which it reads
the data.
For this stored procedure, you need to deal with temporary data in the most efficient way to
minimize physical disk pressure.
What should you do? More than one answer choice may achieve the goal. Select the BEST
answer.

A.
Option A

B.
Option B

C.
Option C

D.
Option D

Explanation:
* You must specify a value for the BUCKET_COUNT parameter when you create the
memory-optimized table. In most cases the bucket count should be between 1 and 2 times
the number of distinct values in the index key. If the index key contains a lot of duplicate
values, on average there are more than 10 rows for each index key value, use a
nonclustered index instead

You may not always be able to predict how many values a particular index key may have or
will have. Performance should be acceptable if the BUCKET_COUNT value is within 5 times
of the actual number of key values.



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