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NEW QUESTION: 1
Sie erstellen einen VM-Skalierungssatz mit dem Namen Scale1. Skala1 ist wie in der folgenden Abbildung gezeigt konfiguriert.

Verwenden Sie die Dropdown-Menüs, um die Antwortauswahl auszuwählen, die die einzelnen Anweisungen anhand der in der Grafik angezeigten Informationen vervollständigt.

Answer:
Explanation:

Erläuterung

Kasten 1:
Die Autoscale-Skalierungsregel erhöht die Anzahl der VMs um 2, wenn der CPU-Schwellenwert 80% oder höher ist. Die anfängliche Instanzanzahl ist 4 und steigt auf 6, wenn die 2 zusätzlichen Instanzen von VMs hinzugefügt werden.
Kasten 2:
Die automatische Skalierung verringert in der Regel die Anzahl der VMs um 4, wenn der CPU-Schwellenwert 30% oder weniger beträgt. Die anfängliche Anzahl der Instanzen ist 4 und kann daher nicht auf 0 reduziert werden, da die minimale Anzahl der Instanzen auf 2 festgelegt ist. Instanzen werden nur hinzugefügt, wenn der CPU-Schwellenwert 80% erreicht.
Verweise:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-overview
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-best-practices
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-common-scale-patterns

NEW QUESTION: 2
会社には、Amazon CloudFront、Amazon API Gateway、およびAWS Lambda機能で構成されるサーバーレスアプリケーションがあります。アプリケーションコードの現在のデプロイプロセスでは、Lambda関数の新しいバージョン番号を作成し、AWS CLIスクリプトを実行して更新します。新しい機能バージョンにエラーがある場合、機能の以前の作業バージョンを展開することにより、別のCLIスクリプトが元に戻ります。会社は、Lambda関数によって提供されるアプリケーションロジックの新しいバージョンを展開する時間を短縮し、エラーが特定されたときに検出して元に戻す時間も短縮したいと考えています。
どうすればこれを達成できますか？
A. AWS CloudFrontディストリビューションとAPI Gatewayで構成される親スタック、およびLambda関数を含む子スタックを使用して、ネストされたAWS CloudFormationスタックを作成してデプロイします。 Lambdaの変更については、AWS CloudFormation変更セットを作成してデプロイします。エラーがトリガーされた場合、AWS CloudFormationの変更セットを以前のバージョンに戻します。
B. AWS CLIスクリプトを、新しいLambdaバージョンをデプロイする単一のスクリプトにリファクタリングします。展開が完了すると、スクリプトテストが実行されます。エラーが検出された場合は、以前のLambdaバージョンに戻ります。
C. 新しいLambdaバージョンを参照する新しいAPI Gatewayエンドポイントで構成されるAWS CloudFormationスタックを作成してデプロイします。 CloudFrontオリジンを新しいAPI Gatewayエンドポイントに変更し、エラーを監視し、検出された場合は、AWS CloudFrontオリジンを以前のAPI Gatewayエンドポイントに変更します。
D. AWS SAMと組み込みのAWS CodeDeployを使用して新しいLambdaバージョンをデプロイし、トラフィックを新しいバージョンに徐々にシフトし、トラフィック前およびトラフィック後のテスト関数を使用してコードを検証します。 Amazon CloudWatchアラームがトリガーされた場合のロールバック。
Answer: D
Explanation:
Explanation
https://aws.amazon.com/about-aws/whats-new/2017/11/aws-lambda-supports-traffic-shifting-and-phased-deplo
https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/automating-updates-to-serverl

NEW QUESTION: 3
Contoso. Ltd. hosts the following ASP.NET workloads in Azure:

Users of the Sales software report mismatches between shown inventory at the time of sale and actual availability. Transactions across the two systems result in inconsistent reads and writes. You encapsulate Sales order creation and Inventory status updates in elastic transactions.
You need to recommend changes to code and the databases to support transactions.
Which actions should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation: