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NEW QUESTION: 1
You are developing a SQL Server Analysis Services (SSAS) multidimensional project.
A fact table is related to a dimension table named DimScenario by a column named ScenarioKey.
The dimension table contains three rows for the following scenarios:
* Actual
* Budget Q1
* Budget Q3
You need to create a dimension to allow users to view and compare data by scenario.
What should you do?
A. Add a measure group that has one measure that uses the DistinctCount aggregate function.
B. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.
C. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group.
D. Create several dimensions. Add each dimension to the cube.
E. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
F. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
G. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.
H. Use role playing dimensions.
I. Create a new named calculation in the data source view to calculate a rolling sum. Add a measure that uses the Max aggregate function based on the named calculation.
J. Use the Business Intelligence Wizard to define dimension intelligence.
K. Create a dimension. Then add a cube dimension and link it several times to the measure group.
L. Add a measure that uses the Count aggregate function to an existing measure group.
M. Create a dimension with one attribute hierarchy. Set the ValueColumn property, set the IsAggregatable property to False, and then set the DefaultMember property. Configure the cube dimension so that it does not have a relationship with the measure group. Add a calculated measure that uses the MemberValue attribute property.
N. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
O. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
Answer: C

NEW QUESTION: 2
Ziehen Sie die Funktionen von links auf die richtigen Netzwerkkomponenten rechts

Answer:
Explanation:

NEW QUESTION: 3

必要に応じて、次のログイン資格情報を使用します。
Azureユーザー名：xxxxx
Azureパスワード：xxxxx
次の情報は、テクニカルサポートのみを目的としています。
ラボインスタンス：10277521
新しいAzure Data Factory V2で複数のパイプラインを作成する予定です。
データファクトリを作成してから、計画されたパイプラインのスケジュールされたトリガーを作成する必要があります。トリガーは、24：00：00から2時間ごとに実行する必要があります。
このタスクを完了するには、Azureポータルにサインインします。
Answer:
Explanation:
See the explanation below.
Explanation
Step 1: Create a new Azure Data Factory V2
1. Go to the Azure portal.
2. Select Create a resource on the left menu, select Analytics, and then select Data Factory.

4. On the New data factory page, enter a name.
5. For Subscription, select your Azure subscription in which you want to create the data factory.
6. For Resource Group, use one of the following steps:
Select Use existing, and select an existing resource group from the list.
Select Create new, and enter the name of a resource group.
7. For Version, select V2.
8. For Location, select the location for the data factory.
9. Select Create.
10. After the creation is complete, you see the Data Factory page.
Step 2: Create a schedule trigger for the Data Factory
1. Select the Data Factory you created, and switch to the Edit tab.

2. Click Trigger on the menu, and click New/Edit.

3. In the Add Triggers page, click Choose trigger..., and click New.

4. In the New Trigger page, do the following steps:
a. Confirm that Schedule is selected for Type.
b. Specify the start datetime of the trigger for Start Date (UTC) to: 24:00:00 c. Specify Recurrence for the trigger. Select Every Hour, and enter 2 in the text box.

5. In the New Trigger window, check the Activated option, and click Next.
6. In the New Trigger page, review the warning message, and click Finish.
7. Click Publish to publish changes to Data Factory. Until you publish changes to Data Factory, the trigger does not start triggering the pipeline runs.

References:
https://docs.microsoft.com/en-us/azure/data-factory/quickstart-create-data-factory-portal
https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-schedule-trigger