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NEW QUESTION: 1
XPathを使用してXMLドキュメントの任意の部分にアクセスまたは参照することを規定する仕様を選択します。
A. DTD
B. XML
C. XMLW Courier NewlrZの名前空間
D. XSLT
Answer: D

NEW QUESTION: 2
You are developing a database reporting solution for a table that contains 900 million rows and is 103 GB.
The table is updated thousands of times a day, but data is not deleted.
The SELECTstatements vary in the number of columns used and the amount of rows retrieved.
You need to reduce the amount of time it takes to retrieve data from the table. The must prevent data
duplication.
Which indexing strategy should you use?
A. a clustered columnstore index for the table
B. a hash index for the table
C. a clustered index for the table and nonclustered indexes for nonkey columns
D. a nonclustered index for each column in the table
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Columnstore indexes are the standard for storing and querying large data warehousing fact tables. It uses
column-based data storage and query processing to achieve up to 10x query performance gains in your
data warehouse over traditional row-oriented storage.
A clustered columnstore index is the physical storage for the entire table.
Generally, you should define the clustered index key with as few columns as possible.
A nonclustered index contains the index key values and row locators that point to the storage location of
the table data. You can create multiple nonclustered indexes on a table or indexed view. Generally,
nonclustered indexes should be designed to improve the performance of frequently used queries that are
not covered by the clustered index.
References: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-
overview?view=sql-server-2017

NEW QUESTION: 3
[年齢]列に外れ値が存在するかどうかを視覚的に識別し、外れ値を削除する前に外れ値を定量化する必要があります。
どの3つのAzureMachine Learning Studioモジュールを順番に使用する必要がありますか？回答するには、適切なモジュールをモジュールのリストから回答領域に移動し、正しい順序で配置します。

散布図を作成する
データの要約
クリップ値
Azure Machine Learning Studioの[クリップ値]モジュールを使用して、指定したしきい値より上または下のデータ値を識別し、オプションで置き換えることができます。これは、外れ値を削除したり、平均値、定数、またはその他の代替値に置き換えたりする場合に役立ちます。
Answer:
Explanation:

References:
https://blogs.msdn.microsoft.com/azuredev/2017/05/27/data-cleansing-tools-in-azure-machine-learning/
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clip-values