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NEW QUESTION: 1
侵入テスターは、貴重なデータベースを含む特定のホストの脆弱性スキャンを実行し、次の脆弱性を識別しました。
* XSS
* HTTP DELETEメソッドを許可
* SQLインジェクション
* CSRFに対して脆弱
テスターは次のうちどれに最も高い優先順位を与えるべきですか？
A. XSS
B. CSRFに対して脆弱
C. 許可されるHTTP DELETEメソッド
D. SQLインジェクション
Answer: C

NEW QUESTION: 2
A company is releasing a new mobile game featuring a team play mode. As a group of mobile device users play together, an item containing their statuses is updated in an Amazon DynamoDB table. Periodically, the other users' devices read the latest statuses of their teammates from the table using the BatchGetltemn operation.
Prior to launch, some testers submitted bug reports claiming that the status data they were seeing in the game was not up-to-date. The developers are unable to replicate this issue and have asked a database specialist for a recommendation.
Which recommendation would resolve this issue?
A. Ensure the DynamoDB table is configured to be always consistent.
B. Ensure the BatchGetltem operation is called with the ConsistentRead parameter set to false.
C. Enable a stream on the DynamoDB table and subscribe each device to the stream to ensure all devices receive up-to-date status information.
D. Ensure the BatchGetltem operation is called with the ConsistentRead parameter set to true.
Answer: C

NEW QUESTION: 3
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. いいえ
B. はい
Answer: A
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