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NEW QUESTION: 1
ユーザーが作成したアプリケーションは、EC2でホストされます。アプリケーションはDynamoDBを呼び出して、特定のデータをフェッチします。アプリケーションはDynamoDB SDKを使用してEC2インスタンスから接続します。
このシナリオでのセキュリティのベストプラクティスに関して、以下の説明のどれが正しいですか。
A. ユーザーはDynamoDBにアクセスできるIAMユーザーを作成し、アプリケーション内の認証情報を使用してDynamoDBに接続する必要があります
B. ユーザーはDynamoDBとEC2にアクセスできるIAMユーザーを作成する必要があります。 rootアカウントの資格情報を使用しないように、ユーザーをアプリケーションに接続します
C. ユーザーは、EC2インスタンスへのDynamoDBアクセス権を持つIAMロールをアタッチする必要があります
D. ユーザーは、アプリケーションのデプロイを可能にするためにEC2アクセス権を持つIAMロールを作成する必要があります
Answer: C
Explanation:
説明
AWS IAMを使用すると、ユーザーはEC2インスタンスで実行され、DynamoDBやS3呼び出しなどのAWSへのリクエストを行うアプリケーションを作成します。ここでは、ユーザーがIAMユーザーを作成してユーザーの認証情報をアプリケーションに渡したり、それらの認証情報をアプリケーション内に埋め込んだりしないことをお勧めします。代わりに、ユーザーはEC2のロールを使用し、そのロールにDynamoDB / S3へのアクセス権を付与する必要があります。ロールがEC2にアタッチされると、そのEC2でホストされているアプリケーションに一時的なセキュリティ認証情報が付与され、DynamoDB / S3に接続されます。

NEW QUESTION: 2
Match each integrated ESRS characteristic with its attribute.

Answer:
Explanation:

NEW QUESTION: 3
150を超える機能を含むデータセットがあります。 データセットを使用して、サポートベクターマシン（SVM）バイナリ分類器をトレーニングします。
Azure Machine Learning StudioのPermutation Feature Importanceモジュールを使用して、データセットの一連の機能重要度スコアを計算する必要があります。
どの順序でアクションを実行する必要がありますか？ 回答するには、すべてのアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation:
Step 1: Add a Two-Class Support Vector Machine module to initialize the SVM classifier.
Step 2: Add a dataset to the experiment
Step 3: Add a Split Data module to create training and test dataset.
To generate a set of feature scores requires that you have an already trained model, as well as a test dataset.
Step 4: Add a Permutation Feature Importance module and connect to the trained model and test dataset.
Step 5: Set the Metric for measuring performance property to Classification - Accuracy and then run the experiment.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-support-vector-machine
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/permutation-feature-importance