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NEW QUESTION: 1
Amazon EC2インスタンスには、機密データを含むセカンダリAmazon Elastic Block Store（EBS）ボリュームがアタッチされています。新しい会社のポリシーでは、セカンダリボリュームを保存時に暗号化する必要があります。
どのソリューションがこの要件を満たしますか？
A. ボリュームのスナップショットを作成するEncryptedパラメーターをtrueに設定して、スナップショットから新しいボリュームを作成します。元のボリュームを切り離し、新しいボリュームをインスタンスにアタッチします。
B. EC2インスタンスの暗号化されたAmazon Machine Image（AMI）を作成します。暗号化されたAMIを使用して新しいインスタンスを起動します。元のインスタンスを終了します。
C. EC2インスタンスを停止しますAWSCloudHSMでボリュームを暗号化します。インスタンスを起動し、暗号化を確認します。
D. EC2インスタンスを停止します。インスタンスのプロパティを変更し、Encryptedパラメーターをtrueに設定します。インスタンスを起動し、暗号化を確認します。
Answer: A
NEW QUESTION: 2
展示を参照してください。
目標は、ネットワーク上で不正なAPが検出されたときに外部のメッセージングアプリケーションにメッセージを自動的に送信するPythonスクリプトを作成することです。メッセージには、アラートにあるブロードキャストSSIDが含まれている必要があります。 「send_to_application」という関数が作成され、これが宣言です。
send_to_application（message）
展示には、アプリケーションによって受信され、変数return_valに格納されているデータも表示されます。どのPythonコードがタスクを完了しますか？
A. オプションD
B. オプションC
C. オプションA
D. オプションB
Answer: A
Explanation:
Explanation
For number in range value is required for the application to send the alert. Bssids are also included.
NEW QUESTION: 3
ENCRYPT_TSは、データを含む表を含む暗号化された表領域です。
テーブル内の暗号化されたデータに対するクエリおよびデータ操作言語（DML）ステートメントの効果に関して、真であるのはどちらですか？
A. UNDO表スペースが暗号化オプションを使用可能にして作成されていれば、データはUNDO表スペースで暗号化されたままになります。
B. データは、SORT操作とJOIN操作中に復号化されます。
C. データはメモリに読み込まれると暗号化されたままです。
D. データはREDOログに格納されるときに暗号化されたままです
Answer: D
NEW QUESTION: 4
은행에는 고객을 위해 두 개의 차선이 있습니다
문제 분석에 사용되는 기술은 다음과 같이 가장 잘 설명됩니다.
A. 선형 프로그래밍.
B. 미분 미적분.
C. 시뮬레이션 이론.
D. 통합 자동 회귀 이동 평균 (ARIMA) 모델링.
Answer: C
Explanation:
Answer (A) is correct. Simulation is a technique for experimenting with logical/mathematical models using a computer. Despite the power of mathematics, many problems cannot be solved by known analytical methods because of the behavior of the variables and the complexity of their interactions. However, the performance of a quantitative model under uncertainty may be investigated by randomly selecting values for each of the variables in the model (based on the probability distribution of each variable) and then calculating the value of the solution. If this process is performed a large number of times, the distribution of results from the model will be obtained.