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NEW QUESTION: 1
What has to taken into account when performing capacity planning for HPE Nimble storage using deduplication?
A. Deduplication is performed on a per array basic
B. Deduplication is performed on a per volume basic
C. Deduplication is performed on a per application category basic
D. Deduplication is performed on a per pool and block size basic
Answer: D

NEW QUESTION: 2
In which of the following scenarios would you benefit from enabling table partitioning in SAP HANA?
A. Your stacked model consists of multiple calculation views.
B. You have a large column store table that is consumed in a view with a variable on COUNTRY column.
C. You have a large row store table that is consumed in a view with a variable on COUNTRY column.
D. You have a dedicated table lo generate the lists of help values for an input parameter.
Answer: B

NEW QUESTION: 3
Azure SQLデータウェアハウスにSalesFactという名前のテーブルがあります。 SalesFactには、過去36か月の販売データが含まれており、次の特性があります。
* Is partitioned by month
* Contains one billion rows
* Has clustered columnstore indexes
毎月初め、36か月より古いデータSalesFactをできるだけ早く削除する必要があります。
ストアドプロシージャで順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Create an empty table named SalesFact_work that has the same schema as SalesFact.
Step 2: Switch the partition containing the stale data from SalesFact to SalesFact_Work.
SQL Data Warehouse supports partition splitting, merging, and switching. To switch partitions between two tables, you must ensure that the partitions align on their respective boundaries and that the table definitions match.
Loading data into partitions with partition switching is a convenient way stage new data in a table that is not visible to users the switch in the new data.
Step 3: Drop the SalesFact_Work table.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-partition