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NEW QUESTION: 1
ノーザントレイルアウトフィッターズ（NTO）は、サブスクライバーが電子メールを読むときに、優れたユーザーエクスペリエンスを確保したいと考えています。
NTOはどのベストプラクティスを採用すべきですか？
A. 800KB以下の画像で総重量を維持します。
B. メールのすべての画像に1つのファイルタイプを使用します。
C. 画像表示用のDPIとファイルサイズを増やします。
D. 購読者を引き付けるために画像のみのメールに依存する
Answer: A

NEW QUESTION: 2
Data Studioを使用して、BigQuery上に構築されたデータウェアハウスのテーブルを視覚化します。データは、日中にデータウェアハウスに追加されます。夜間は、テーブルを上書きして日次サマリーが再計算されます。 Data Studioのグ​​ラフが壊れていることに気づき、問題を分析したいとします。
あなたは何をするべきか？
A. Cloud Loggingで、DataStudioレポートのフィルターを作成します
B. BigQueryインターフェースを使用して、夜間のジョブを確認し、エラーを探します
C. クラウドコンソールの[エラーレポート]ページを確認して、エラーを見つけます。
D. Cloud Debuggerを使用して、データが正しく更新されなかった理由を確認します
Answer: D

NEW QUESTION: 3
Hotspot Question
You are deploying a multidimensional Microsoft SQL Server Analysis Services (SSAS) project.
You add two new role-playing dimensions named Picker and Salesperson to the cube.
Both of the cube dimensions are based upon the underlying dimension named Employee in the data source view.
Users report that they are unable to differentiate the Salesperson attributes from the Picker attributes.
You need to ensure that the Salesperson and Picker attributes in each dimension use unique names.
In the table below, identify an option that you would use as part of the process to alter the names of the attributes for each of the dimensions. NOTE: Make only one selection in each column.

Answer:
Explanation:

Explanation:
A named query is a SQL expression represented as a table. In a named query, you can specify an SQL expression to select rows and columns returned from one or more tables in one or more data sources. A named query is like any other table in a data source view (DSV) with rows and relationships, except that the named query is based on an expression. A named query lets you extend the relational schema of existing tables in DSV without modifying the underlying data source.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/define-named- queries-in-a-data-source-view-analysis-services