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NEW QUESTION: 1
Sie haben einen Power BI-Bericht.
Wählen Sie für jede der folgenden Aussagen Ja aus, wenn die Aussage wahr ist. Andernfalls wählen Sie Nein.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
Answer:
Explanation:
Explanation
Box 1: Yes
If you'd like to see the data that Power BI uses to create a visualization, you can display that data in Power BI.
You can also export that data to Excel as an .xlsx or .csv file. The option to export the data requires a Pro or Premium license and edit permissions to the dataset and report.
Note: Export data from a Power BI dashboard
* Select the ellipsis in the upper-right corner of the visualization.
* Choose the Export data icon.
* Power BI exports the data to a .csv file. If you've filtered the visualization, then the app will filter the downloaded data.
* Your browser will prompt you to save the file. Once saved, open the .csv file in Excel.
Box 2: No
Underlying data: Select this option if you want to see the data in the visual and additional data from the model (see chart below for details). If your visualization has an aggregate, selecting Underlying data removes the aggregate. When you select Export, Power BI exports the data to an .xlsx file and your browser prompts you to save the file. Once saved, open the file in Excel.
Box 3: Yes
A KPI dataset needs to contain goal values for a KPI. If your dataset doesn't contain goal values, you can create them by adding an Excel sheet with goals to your data model or PBIX file.
Note: A Key Performance Indicator (KPI) is a visual cue that communicates the amount of progress made toward a measurable goal.
Reference:
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-export-data
https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-kpi
NEW QUESTION: 2
注：この質問は同じシナリオを提示する一連の質問の一部です。 連載の各質問には、記載されている目標を達成できる可能性のある固有の解決策が含まれています。 他の人が正しい解決策を持っていないかもしれない間、いくつかの質問セットは複数の正しい解決策を持つかもしれません。
このセクションで質問に答えた後は、それに戻ることはできません。 その結果、これらの質問はレビュー画面に表示されません。
Windows Server 2016をServer1という名前のサーバーに展開します。
Server1でWindowsコンテナを実行できることを確認する必要があります。
解決策：server1に、DockerMsftProvider PowerShellとDockerパッケージをインストールします。 サーバーを再起動します。
これは目標を達成していますか？
A. No
B. Yes
Answer: B
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/virtualization/windowscontainers/deploy-containers/deploy-containers-on-serve
NEW QUESTION: 3
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.