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NEW QUESTION: 1
Static routing configuration command preference_value parameters, the following statements is correct ().
A. In the same command several times in preference_value value can enter, only the last valid
B. In the same command several times in preference_value value can be entered, only the first valid
C. In the same command several times in preference_value value input, multiple effect
D. to reach the same destination IP address for multiple routes, routing can be configured to achieve different preference_value backup
Answer: A,D

NEW QUESTION: 2
Which of the following layers of the OSI model provides interhost communication?
A. Network layer
B. Application layer
C. Transport layer
D. Session layer
Answer: D

NEW QUESTION: 3
ビッグデータワークロードのインフラストラクチャを展開します。
Azure HDInsightとMicrosoft Machine Learning Serverを実行する必要があります。 RevoScaleR計算コンテキストを設定して、rx関数呼び出しを並行して実行する予定です。
Machine Learning Serverに使用できる3つの計算コンテキストは何ですか？それぞれの正解は完全な解決策を提示します。
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。
A. HBase
B. Spark
C. SQL
D. local sequential
E. local parallel
Answer: B,C,E
Explanation:
リモートコンピューティングは、選択したプラットフォーム上の特定のデータソースで利用できます。次の表に、サポートされる組み合わせを示します。
RxInSqlServer、sqlserver：リモートコンピューティングコンテキスト。ターゲットサーバーは単一のデータベースノード（SQL Server
2016 R ServicesまたはSQL Server 2017 Machine Learning Services）。計算は並列ですが、分散されていません。
RxSpark、spark：リモートコンピューティングコンテキスト。ターゲットは、Hadoop上のSparkクラスターです。
RxLocalParallel、localpar：計算コンテキストは、Hadoopに組み込まれたスケジューラーではなく、ユーザーが提供する命令に依存する制御された分散計算を可能にするためによく使用されます。手動分散コンピューティングにコンピューティングコンテキストを使用できます。
参照：
https://docs.microsoft.com/en-us/machine-learning-server/r/concept-what-is-compute-context

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