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NEW QUESTION: 1
プレミアムアプリサービスプランで実行されるAzureWebアプリがあります。
開発者はアプリを毎週更新する予定です。
アプリを現在のバージョンから新しいバージョンに変更できることを確認する必要があります。ソリューションは次の要件を満たす必要があります
*バージョンを切り替える前にAzureでアプリをテストする機能を開発者に提供するテストでは同じアプリインスタンスを使用する必要があります
*アプリのバージョンをロールバックできることを確認してください。
*ダウンタイムを最小限に抑えます。
あなたは何をするべきか？
A. 展開スロットを作成します。
B. アプリのインスタンスをスケールセットに追加します
C. Azure Active Directory（Azure AD）エンタープライズアプリケーションを作成します
D. AppServiceプランをコピーします。
Answer: A
Explanation:
Explanation
Azure Functions deployment slots allow your function app to run different instances called "slots". Slots are different environments exposed via a publicly available endpoint. One app instance is always mapped to the production slot, and you can swap instances assigned to a slot on demand.
There are a number of advantages to using deployment slots. The following scenarios describe common uses for slots:
* Different environments for different purposes: Using different slots gives you the opportunity to differentiate app instances before swapping to production or a staging slot.
* Easy fallbacks: After a swap with production, the slot with a previously staged app now has the previous production app. If the changes swapped into the production slot aren't as you expect, you can immediately reverse the swap to get your "last known good instance" back.
* Prewarming
Reference:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-deployment-slots
NEW QUESTION: 2
どのコマンドがDTPを無効にしますか？
A. スイッチポートモードパッシブ
B. スイッチポートネゴシエート
C. スイッチポートモードがアクティブ
D. switchport nonegotiate
Answer: B
Explanation:
https://www.freeccnaworkbook.com/workbooks/ccna-security/disabling-dynamic-trunking-protocol-dtp
NEW QUESTION: 3
新しいAzure Data Factory環境があります。
過去60日間のパイプライン実行を定期的に分析して、実行期間の傾向を特定する必要があります。ソリューションでは、Azure Log Analyticsを使用してデータをクエリし、グラフを作成する必要があります。
Data Factoryでどの診断設定を構成する必要がありますか？回答するには、回答エリア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には1ポイントの価値があります。
Answer:
Explanation:
Explanation:
ログの種類：PipelineRuns
Azure Data Factoryで実行されるパイプラインは、パイプライン実行のインスタンスを定義します。
ストレージの場所：Azureストレージアカウント
Data Factoryは、パイプライン実行データをわずか45日間保存します。そのデータをより長期間保持する場合は、モニターを使用します。 Monitorを使用すると、分析のために診断ログをルーティングできます。また、ストレージアカウントに保存して、選択した期間の工場情報を入手することもできます。
監査または手動検査のために、診断ログをストレージアカウントに保存します。診断設定を使用して、保持期間を日単位で指定できます。
参照：
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipeline-execution-triggers
https://docs.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor
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