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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。連載の各質問には、記載されている目標を達成できる可能性のある固有の解決策が含まれています。他の人が正しい解決策を持っていないかもしれない間、いくつかの質問セットは複数の正しい解決策を持つかもしれません。
このセクションで質問に答えた後は、それ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。
Azure Resource Managerテンプレートを使用してAzureリソースを展開するリリースパイプラインを作成する予定です。リリースパイプラインは以下のリソースを作成します。
* 2つのリソースグループ
* 1つのリソースグループに4つのAzure仮想マシン
* 他のリソースグループにある2つのAzure SQLデータベース
リソースをデプロイするためのソリューションを推奨する必要があります。
解決策:2つのスタンドアロンテンプレートを作成します。各テンプレートはそれぞれのグループにリソースをデプロイします。
これは目標を達成していますか?
A. いいえ
B. はい
Answer: B
Explanation:
References: https://docs.microsoft.com/en-us/azure/azure-resource-manager/resource-group-linked-templates

NEW QUESTION: 2
ZIEHEN UND LOSLASSEN
Sie haben einen Azure Active Directory-Mandanten (Azure AD) mit dem anfänglichen Domänennamen. Sie haben den Domainnamen contoso.com bei einem Drittanbieter-Registrar registriert. Sie müssen sicherstellen, dass Sie Azure AD-Benutzer erstellen können, deren Namen das Suffix @ contoso.com enthalten.
Welche drei Aktionen sollten Sie nacheinander ausführen? Verschieben Sie zum Beantworten die entsprechenden Cmdlets aus der Liste der Cmdlets in den Antwortbereich und ordnen Sie sie in der richtigen Reihenfolge an.

Answer:
Explanation:


NEW QUESTION: 3
Your network contains an Active Directory domain named contoso.com.
You need to create a central store for Group Policy administrative templates.
What should you use?
A. Copy-item
B. Copy-GPO
C. Group Policy Management Editor
D. Group Policy Management Console (GPMC)
Answer: A
Explanation:
Explanation/Reference:
References: https://docs.microsoft.com/en-us/powershell/module/microsoft.powershell.management/copy-
item?view=powershell-6

NEW QUESTION: 4
Your on-premises network contains a file server named Server1 that stores 500 GB of data.
You need to use Azure Data Factory to copy the data from Server1 to Azure Storage.
You add a new data factory.
What should you do next? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Install a self-hosted integration runtime
The Integration Runtime is a customer-managed data integration infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments.
Box 2: Create a pipeline
With ADF, existing data processing services can be composed into data pipelines that are highly available and managed in the cloud. These data pipelines can be scheduled to ingest, prepare, transform, analyze, and publish data, and ADF manages and orchestrates the complex data and processing dependencies References:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-sql-azure-adf