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NEW QUESTION: 1
Using transport-layer security, an active intermediary that takes possession of a message
can compromise:
A. message confidentiality
B. None of the above.
C. message confidentiality and message integrity
D. message integrity
Answer: C
NEW QUESTION: 2
データを処理するためのパイプラインを開発する必要があります。パイプラインは次の要件を満たしている必要があります。
*コスト削減のためにリソースをスケールアップおよびダウンします。
*メモリ内データ処理エンジンを使用して、ETLおよび機械学習操作を高速化します。
*ストリーミング機能を使用します。
* SQL、Python、Scala、およびRでコーディングする機能を提供します。
*ワークスペースコラボレーションをGitと統合します。
何を使うべきですか？
A. Azure Stream Analytics
B. HDInsight Spark Cluster
C. Azure SQL Data Warehouse
D. HDInsight Hadoop Cluster
Answer: B
Explanation:
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
You can create an HDInsight Spark cluster using an Azure Resource Manager template. The template can be found in GitHub.
References:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
NEW QUESTION: 3
管理者は、ゲストユーザーにインターネット使用を制限するための帯域幅制限を実装したいと考えています。 Mobility Master（MM;モビリティマスター）で、管理者はこれらの制限をどこで定義しますか。
A. ファイアウォールポリシー
B. 802.1Xポリシー
C. ユーザーロール
D. AAAポリシー
Answer: A