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NEW QUESTION: 1
DRAG DROP
In multiple-controller deployments, if one controller fails, the access points perform these tasks. Drag and drop the tasks on the left into the correct order on the right.

Answer:
Explanation:

NEW QUESTION: 2
A company is using AWS CodePipeline to deliver one of its applications. The delivery pipeline is triggered by changes to the master branch of an AWS CodeCommit repository and uses AWS CodeBuild to implement the test and build stages of the process and AWS CodeDeploy to deploy the application.
The pipeline has been operating successfully for several months and there have been no modifications.
Following a recent change to the application's source code, AWS CodeDeploy has not deployed the updates application as expected.
What are the possible causes? (Choose two.)
A. One of the earlier stages in the pipeline failed and the pipeline has terminated.
B. AWS CodePipeline does not have permissions to access AWS CodeCommit.
C. The AWS CodePipeline is incorrectly configured and is not executing AWS CodeDeploy.
D. The change was not made in the master branch of the AWS CodeCommit repository.
E. One of the Amazon EC2 instances in the company's AWS CodePipeline cluster is inactive.
Answer: A,E

NEW QUESTION: 3
Server1とServer2という名前の2つのオンプレミスファイルサーバーがあります。サーバーのデータファイルは、次の表に示すフォルダーに格納されています。

次の表に示すように、storage1という名前のAzure Storageアカウントにリソースがあります。

Azure Data Factoryを使用して、次の表に示すフォルダーにデータファイルをコピーする予定です。

Data Factoryで作成する必要がある接続とデータセットの最小数を特定する必要があります。
このソリューションでは、D：\ Dataのサブフォルダーにある他のデータファイルがAzureにコピーされないようにする必要があります。
いくつの接続とデータセットを特定する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: 2
The Azure Storage and Azure SQL Database linked services contain connection strings that Data Factory uses at runtime to connect to your Azure Storage and Azure SQL Database, respectively.
Box 2: 3
A dataset is a named view of data that simply points or references the data you want to use in your activities as inputs and outputs.
Datasets identify data within different data stores, such as tables, files, folders, and documents. For example, an Azure Blob dataset specifies the blob container and folder in Blob storage from which the activity should read the data.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-datasets-linked-services