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NEW QUESTION: 1

A. 1, 4, 3, 2
B. 1, 2, 4
C. 1, 2
D. 1, 4, 3
Answer: A

NEW QUESTION: 2
あなたの会社のすべての顧客のデータを含むデータウェアハウスがあります。
クエリを作成して、CUSTOMERSという名前のテーブルからSELECTステートメントを動的に生成する必要があります。
SELECT文は、列の完全なリストを生成する必要があります。
正しいTransact-SQLの一部は、以下のアンサーエリアで提供されています。 回答エリアに問題を解決し、記載された目標や要件を満たすコードを入力します。 提供されているコード内に、その下にコードを追加することができます。


[構文の確認]ボタンを使用して作業内容を確認します。 構文やスペルの誤りは、行と文字の位置によって報告されます。
Answer:
Explanation:
XML PATH
Explanation:
In line 7 add XML PATH to get thefollowing line:
FOR XML PATH (' ')), 1, 1, ' ') +
Here is how it works:
1. Get XML element string with FOR XML
Adding FOR XML PATH to the end of a query allows you to output the results of the query as XML elements, with the element name contained inthe PATH argument. For example, if we were to run the following statement:
SELECT ',' + name
FROM temp1
FOR XML PATH ('')
By passing in a blank string (FOR XML PATH('')), we get the following instead:
,aaa,bbb,ccc,ddd,eee
2. Remove leading commawith STUFF
The STUFF statement literally "stuffs" one string into another, replacing characters within the first string. We, however, are using it simply to remove the first character of the resultant list of values.
SELECT abc = STUFF( (
SELECT ',' +NAME
FROM temp1
FOR XML PATH('')
), 1, 1, '')
FROM temp1
Note: The full code will be:
SELECT 'SELECT' +
STUFF ((
SELECT ', [' + name + ']'
FROM
WHERE id = OBJECT_ID('Customers') AND
...name <> 'me'
FOR XML PATH (' ')), 1, 1, ' ') +
'FROM[Customers] '
References: http://stackoverflow.com/questions/31211506/how-stuff-and-for-xml-path-work-in-sql-server

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