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NEW QUESTION: 1
You deploy resources to Azure by using both the classic portal and Azure Resource Manager.
You need to back up each resource type to Azure.
Which backup methods should you use? To answer, drag the appropriate backup methods to the correct deployment types. Each method may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

NEW QUESTION: 2
企業がアプリケーションをAWSに移行しています。移行中は可能な限り完全に管理されたサービスを使用したいと考えています。会社は、次の要件を備えたアプリケーション内に大規模で重要なドキュメントを保存する必要があります。
*データは耐久性が高く、利用可能である必要があります。
*データは、保管時および転送時に常に暗号化する必要があります。
*暗号化キーは会社が管理し、定期的にローテーションする必要があります。
ソリューションアーキテクトが推奨するソリューションは次のうちどれですか？
A. Amazon EBSボリュームが接続されたインスタンスをデプロイして、このデータを保存します。 AWS KMSキーを使用したEBSボリューム暗号化を使用して、データを暗号化します。
B. SSLでAmazon DynamoDBを使用してDynamoDBに接続します。 AWS KMSキーを使用して、保管中のDynamoDBオブジェクトを暗号化します。
C. ファイルゲートウェイモードでストレージゲートウェイをAWSにデプロイします。 AWS KMSキーを使用したAmazon EBSボリューム暗号化を使用して、ストレージゲートウェイボリュームを暗号化します。
D. バケットへの接続にHTTPSを適用し、オブジェクト暗号化にサーバー側暗号化とAWS KMSを適用するには、バケットポリシーでAmazon S3を使用します。
Answer: D
Explanation:
https://aws.amazon.com/blogs/security/how-to-use-bucket-policies-and-apply-defense-in-depth- to-help-secure-your-amazon-s3-data//

NEW QUESTION: 3
クリーニングが必要な生のデータセットを分析しています。
Azure Machine Learning Studioを使用して、変換と操作を実行する必要があります。
変換を実行するには、正しいモジュールを識別する必要があります。
どのモジュールを選択する必要がありますか？答えるには、適切なモジュールを正しいシナリオにドラッグします。各モジュールは、1回、複数回使用することも、まったく使用しないこともできます。
コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
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

Box 1: Clean Missing Data
Box 2: SMOTE
Use the SMOTE module in Azure Machine Learning Studio to increase the number of underepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
Box 3: Convert to Indicator Values
Use the Convert to Indicator Values module in Azure Machine Learning Studio. The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.
Box 4: Remove Duplicate Rows
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-indicator-values