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NEW QUESTION: 1
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Margie's Travelは、国際的な旅行および予約管理サービスです。同社はレストランの予約に拡大しています。ソリューションにリストされているレストランにAzureSearchを実装する必要があります。
AzureSearchでインデックスを作成します。
Azure Search NET SDKを使用して、レストランデータをAzureSearchサービスにインポートする必要があります。
解決：
1.SearchServiceClientオブジェクトを作成して検索インデックスに接続します。
2.追加する必要のあるドキュメントを含むDataContainerを作成します。
3. DataSourceインスタンスを作成し、そのContainerプロパティをDataContainerに設定します。
4.SearchServiceCIientのDataSourceプロパティを設定します
ソリューションは目標を達成していますか？
A. いいえ
B. はい
Answer: A

NEW QUESTION: 2
Prior to using the dataimport.exe file, which action should you perform?
A. Backup
B. Activate
C. Reboot
D. Import
Answer: B

NEW QUESTION: 3
The potential gains on short position generally are ______ and the potential losses are ______.
A. no more than the value of the securities; no more than the value of the securities.
B. no more than the value of the securities; unlimited.
C. unlimited; no more than the value of the securities.
Answer: B
Explanation:
In contrast, the potential gains in a long position are limited to no more than 100 percent whereas the potential losses are unbounded unbounded.

NEW QUESTION: 4
You are developing a SQL Server 2008 Analysis Services (SSAS) method for Company.com.
There is a table called Product which includes listed columns below:
*ProductKey
*Logger
*ProductNumber
Firstly you develop a dimension called DimProductOrders from the Product table, and then configure the ProductKey as a key column and the Logger column as a property.
At last you create a measure group called FactProductOrders from the Product table.
You should make sure that you could develop a dimension relationship .
Then you could make ProductNumber column gathered by the Logger column.
Which is the correct answer?
A. Before configuring the Granularity attribute to ProductKey and the measure group columns to ProductNumber, you should you should develop a fact dimension relationship.
B. Between the DimProductOrders dimension and the ProductNumber measure group, you should develop a virtual dimension relationship.
C. Between the DimProductOrders dimension and the ProductNumber measure group, you should develop a fact dimension relationship.
D. Between the DimProductOrders dimension and the ProductKey measure group, you should develop a fact dimension relationship.
Answer: C
Explanation:
Dimension Usage Relationship Types Relationship type purpose Regular Defines the relationship when a dimension is joined directly to a measure group through a specific attribute called the "granularity" attribute. Fact Used when the dimension is based on the fact table used to define the measure group. Referenced Used when a given dimension is related to a measure group through an intermediate dimension. Many-To-Many Specifies that a dimension is related to a given measure group through an intermediate measure group. Data Mining Defines the relationship between a dimension based on a data mining model and a given measure group.
EXAM TIP Sometimes after analyzing the database schema and designing fact and dimension tables, you will be left with columns in the fact table that do not justify moving them to designated dimension tables, such as Sales order number. yet reporting requirements might require you to let end users browse data by these columns--for example, to see all sales order line items for a given sales order. you can meet such requirements by building dimensions directly from the fact table and then joining them to the related measure groups through a fact relationship.

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