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NEW QUESTION: 1
毎日、企業は数百のファイルをAzure Blob StorageとAzure Data Lake Storageに保存することを計画しています。同社は寄木細工のフォーマットを使用しています。
次の要件を満たすパイプラインを開発する必要があります。
* 6時間ごとにデータを処理する
*インタラクティブなデータ分析機能を提供
*ソリッドステートドライブ（SSD）キャッシングを使用してデータを処理する機能を提供する
*有向非巡回グラフ（DAG）処理メカニズムを使用する
*プロセスを監視するREST API呼び出しのサポートを提供する
* Pythonのネイティブサポートを提供する
* Microsoft Power BIと統合する
パイプラインを実装するには、適切なデータ技術を選択する必要があります。
どのデータ技術を実装する必要がありますか？
A. Azure Stream Analytics
B. Azure SQL Data Warehouse
C. HDInsight Apache Hadoop cluster using MapReduce
D. HDInsight Spark cluster
E. HDInsight Apache Storm cluster
Answer: E
Explanation:
Storm runs topologies instead of the Apache Hadoop MapReduce jobs that you might be familiar with. Storm topologies are composed of multiple components that are arranged in a directed acyclic graph (DAG). Data flows between the components in the graph. Each component consumes one or more data streams, and can optionally emit one or more streams.
Python can be used to develop Storm components.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/storm/apache-storm-overview

NEW QUESTION: 2
What is the revenue share of requirements of a brand that sells $80,000 worth of its product and whose customers buy $200,000 worth of products in the same product category?
A. 30%
B. 20%
C. 10%
D. 40%
E. 50%
Answer: D

NEW QUESTION: 3
会社はポートフォリオ全体でAWSサービスの使用を拡大しています。会社は、各アカウントのAWSアカウントをプロビジョニングして、セキュリティ、コンプライアンス、請求アカウントの作成とブートストラップのビジネスプロセスの分離を確実にスケーラブルかつ効率的な方法で完了し、新しいアカウントが定義済みのベースラインとガバナンスガードレールで作成されるようにしたいと考えています。場所。 sysops管理者は、時間とリソースを節約するプロビジョニングプロセスを設計する必要があります。
これらの要件を満たすには、どのアクションを実行する必要がありますか？
A. AWS Control Towerを使用してアカウントファクトリでテンプレートを作成し、そのテンプレートを使用して新しいアカウントをプロビジョニングします。
B. AWS構成を使用して、アカウントをプロビジョニングし、AWSサービスカタログを使用してインスタンスをデプロイします。
C. AWS OpsWorksでブートストラップスクリプトを作成し、それらをAWS CloudFormationテンプレートと組み合わせてアカウントとインフラストラクチャをプロビジョニングします。
D. AWS Elastic Beanstalkを使用して自動化し、AWSアカウントのプロビジョニング、インフラストラクチャのセットアップ、AWS組織との統合を行います。
Answer: D