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NEW QUESTION: 1
シャーシの仮想化にVSSを使用する2つの利点は何ですか? (2つ選択)
A. 冗長性と改善されたサポートのために複数の管理ポイントを提供します
B. 効率を改善するための単一の管理ポイントを提供します
C. 単一のデータベースを使用して、複数のスイッチの構成を管理します
D. VSSトラフィックのバランスを取るためにGLBPをサポートします
E. VLANごとに1つのゲートウェイのみが必要です
Answer: B,E

NEW QUESTION: 2
次の表に示すAzureリソースを含むAzureの注文処理システムを設計しています。

注文処理システムには、次のトランザクションフローがあります。
顧客はApp1を使用して注文します。
注文を受け取ると、App1はベンダー1とベンダー2での製品の入手可能性を確認するメッセージを生成します。
統合コンポーネントはメッセージを処理し、注文のタイプに応じてFunction1またはFunction2のいずれかをトリガーします。
ベンダーが製品の入手可能性を確認すると、App1のステータスメッセージがFunction1またはFunction2によって生成されます。
トランザクションのすべてのステップがstorage1に記録されます。
統合コンポーネントにはどのタイプのリソースを推奨する必要がありますか?
統合コンポーネントにはどのタイプのリソースを推奨する必要がありますか?
A. Azure DataFactoryパイプライン
B. Azure ServiceBusキュー
C. Azureイベントグリッドドメイン
D. Azure EventHubsのキャプチャ
Answer: A
Explanation:
A data factory can have one or more pipelines. A pipeline is a logical grouping of activities that together perform a task.
The activities in a pipeline define actions to perform on your data.
Data Factory has three groupings of activities: data movement activities, data transformation activities, and control activities.
Azure Functions is now integrated with Azure Data Factory, allowing you to run an Azure function as a step in your data factory pipelines.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities

NEW QUESTION: 3

A. Option C
B. Option B
C. Option A
D. Option D
Answer: D