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NEW QUESTION: 1
このアプリケーションには、以下のメソッドが含まれています。 （行番号は参照用にのみ記載されています）。

製品が存在しない場合、ユーザーは製品ページから製品を取得しようとするとき、ランタイム例外が発生します。CustomException.aspxページの例外を送る必要があります。 MvcApplicationにどのメソッドを追加しなければなりませんか。

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

NEW QUESTION: 2
パブリッククラウドソリューションが顧客にセキュリティリスクをもたらす方法は何ですか？
A. 法律により、パブリッククラウドプロバイダは顧客の名前と所在地を開示する必要があります。
B. パブリッククラウド用にウイルスをコーディングする方が簡単で、ハッカーにとって共通の出発点になります。
C. パブリッククラウドプロバイダはゼロのセキュリティ対策を提供しているため、誰でもいつでも機密データにアクセスできます。
D. パブリッククラウドはマルチテナントで共有されているため、攻撃の道がさらに広がります。
Answer: C

NEW QUESTION: 3
A solutions architect has an operational workload deployed on Amazon EC2 instances in an Auto Scaling group The VPC architecture spans two Availability Zones (AZ) with a subnet in each that the Auto Scaling group is targeting The VPC is connected to an on-premises environment and connectivity cannot be interrupted The maximum size of the Auto Scaling group is 20 instances in service The VPC IPv4 addressing is as follows:
* VPC CIDR 10 0 0 0/23
* AZ1 subnet CIDR 10 0 0 0/24
* AZ2 subnet CIDR 10 0 10/24
Since deployment a third AZ has become available in the Region The solutions architect wants to adopt the new AZ without adding additional IPv4 address space and without service downtime. . . . . . . . . . . . . . . . . . .
Which solution will meet these requirements?
A. Terminate the EC2 instances m the AZ1 subnet Delete and re-create the AZ1 subnet using half the address space Update the Auto Scaling group to use this new subnet Repeat this for the second AZ Define a new subnet in AZ3 then update the Auto Scaling group to target all three new subnets
B. Update the Auto Scaling group to use the AZ2 subnet only Update the AZ1 subnet to have half the previous address space Adjust the Auto Scaling group to also use the AZ1 subnet again When the instances are healthy, adjust the Auto Scaling group to use the AZ1 subnet only Update the current A22 subnet and assign the second half of the address space from the original AZ1 subnet Create a new AZ3 subnet using half the original AZ2 subnet address space then update the Auto Scaling group to target all three new subnets
C. Create a new VPC with the same IPv4 address space and define three subnets with one for each AZ Update the existing Auto Scaling group to target the new subnets in the new VPC
D. Update the Auto Scaling group to use the AZ2 subnet only Delete and re-create the AZ1 subnet using half the previous address space Adjust the Auto Scaling group to also use the new AZ1 subnet When the instances are healthy adjust the Auto Scaling group to use the AZ1 subnet only Remove the current AZ2 subnet Create a new AZ2 subnet using the second half of the address space from the original. AZ1 subnet Create a new AZ3 subnet using halt the original AZ2 subnet address space then update the Auto Scaling group to target all three new subnets
Answer: D

NEW QUESTION: 4
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。シリーズの各質問には、述べられた目標を達成する可能性のある独自の解決策が含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問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 Machine Learningを使用して、分類モデルをトレーニングする実験を実行しています。
Hyperdriveを使用して、モデルのAUCメトリックを最適化するパラメーターを見つけたいと考えています。次のコードを実行して、実験用にHyperDriveConfigを構成します。

この構成を使用して、ランダムフォレストモデルをトレーニングし、検証データでテストするスクリプトを実行することを計画しています。検証データのラベル値はy_test変数という名前の変数に格納され、モデルから予測された確率はy_predictedという名前の変数に格納されます。
HyperdriveがAUCメトリックのハイパーパラメータを最適化できるようにするには、スクリプトにログを追加する必要があります。
解決策：次のコードを実行します。

ソリューションは目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
Explanation
Use a solution with logging.info(message) instead.
Note: Python printing/logging example:
logging.info(message)
Destination: Driver logs, Azure Machine Learning designer
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipelines