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NEW QUESTION: 1
HDInsightクラスターでSparkジョブとして実行されるデータ処理ソリューションを設計しています。このソリューションは、小売業者のオンライン注文に関するほぼリアルタイムの情報を提供するために使用されます。
ソリューションには、概要情報を表示する企業イントラネット上のページを含める必要があります。
概要情報ページは、次の要件を満たしている必要があります。
*これまでの売上の概要を、製品カテゴリ、価格帯、レビュー範囲別にグループ化して表示します。
*総売上、1日前の売上、1年前の売上などの売上概要情報を表示します。
*新しい注文の情報をできるだけ早く反映します。
ソリューションの設計を推奨する必要があります。
何を勧めますか？回答するには、回答領域で適切な構成を選択します。
Answer:
Explanation:
Explanation
Box 1: DataFrame
DataFrames
Best choice in most situations.
Provides query optimization through Catalyst.
Whole-stage code generation.
Direct memory access.
Low garbage collection (GC) overhead.
Not as developer-friendly as DataSets, as there are no compile-time checks or domain object programming.
Box 2: parquet
The best format for performance is parquet with snappy compression, which is the default in Spark 2.x.
Parquet stores data in columnar format, and is highly optimized in Spark.
NEW QUESTION: 2
マルチデータベースコンテナー（MDC）システムを構成して、オペレーティングシステム（OS）レベルのテナントデータベース間のデータベース分離を高めるには、どのような作業を行う必要がありますか？この質問には3つの正解があります。
A. sapsysグループから<sid> adm OSユーザーを削除します。
B. 管理OSユーザーをロックします\ / O専用テナントを追加します
C. <sid> shmグループのユーザー。
D. 専用のテナントOSユーザーをsapsysグループに追加します。
E. テナントごとに専用のテナントOSユーザーを作成します。
Answer: C,D,E
NEW QUESTION: 3
Scope Item Level for Financial Accounting
Which of the following are mandatory global parameter fields for consolidation? 3 answers
A. Fiscal year / period
B. Consolidation version
C. Controlling area
D. Consolidation area
E. Consolidation chart of accounts
Answer: C,D,E