試験Desktop-Specialist トピック6 問題208 スレッド
Tableau Desktop-Specialistのリアル試験問題集
問題 #: 208
トピック #: 6
問題 #: 208
トピック #: 6
If you are working with a huge dataset, which of the following are strong reasons to use a context filter?
おすすめの解答:A,D 解答を投票する
By default, all filters that you set in Tableau are computed independently. That is, each filter accesses all rows in your data source without regard to other filters. However, you can set one or more categorical filters as context filters for the view. You can think of a context filter as being an independent filter (Option stating - To create a dependent filter eliminated here). Any other filters that you set are defined as dependent filters because they process only the data that passes through the context filter.
You may create a context filter to:
1) Improve performance - If you set a lot of filters or have a large data source, the queries can be slow. You can set one or more context filters to improve performance.
2) Create a dependent numerical or top N filter - You can set a context filter to include only the data of interest, and then set a numerical or a top N filter.
For example, suppose you're in charge of breakfast products for a large grocery chain. Your task is to find the top 10 breakfast products by profitability for all stores. If the data source is very large, you can set a context filter to include only breakfast products. Then you can create a top 10 filter by profit as a dependent filter, which would process only the data that passes through the context filter.
Graphical user interface, application Description automatically generated

You may create a context filter to:
1) Improve performance - If you set a lot of filters or have a large data source, the queries can be slow. You can set one or more context filters to improve performance.
2) Create a dependent numerical or top N filter - You can set a context filter to include only the data of interest, and then set a numerical or a top N filter.
For example, suppose you're in charge of breakfast products for a large grocery chain. Your task is to find the top 10 breakfast products by profitability for all stores. If the data source is very large, you can set a context filter to include only breakfast products. Then you can create a top 10 filter by profit as a dependent filter, which would process only the data that passes through the context filter.
Graphical user interface, application Description automatically generated

Horiuchi 2025-10-01 07:36:37
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