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| Section | Weight | Objectives |
|---|---|---|
| Working with Data | 30% | - Data manipulation
|
| Using Tableau Desktop | 25% | - Visualization building
|
| Connecting to and Preparing Data | 25% | - Connect to data sources
|
| Understanding Tableau Concepts | 20% | - Data organization concepts
|
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53. Frage
Tableau will automatically create a hierarchy for which two kinds of data? (Choose two.)
Antwort: A,B
54. Frage
True or False: It is not possible to blend axes for multiple measures into a single axis
Antwort: B
Begründung:
We can very much blend multiple measures into a single axis. Such charts are called Combined-Axis / Blended-Axis charts. Follow along:
Measures can share a single axis so that all the marks are shown in a single pane. To blend multiple measures, drag one measure or axis and drop it onto an existing axis.
Instead of adding rows and columns to the view, when you blend measures there is a single row or column and all of the values for each measure is shown along one continuous axis. For example, the view below shows quarterly sales and profit on a shared axis.
Note: If you drag a measure on to the canvas and only see a single ruler indicator instead of the double ruler indicator shown below, Tableau creates dual axes instead of a blended axis. For more information about how to create dual axes, see Compare two measures using dual axes.
55. Frage
How does Tableau know at which level to aggregate values?
Antwort: D
Begründung:
In Tableau, you can aggregate measures or dimensions, though it is more common to aggregate measures.
Whenever you add a measure to your view, an aggregation is applied to that measure by default. The type of aggregation applied varies depending on the context of the view.
When you add a measure to the view, Tableau automatically aggregates its values. Sum, average, and median are common aggregations; for a complete list, see List of Predefined Aggregations in Tableau.
The current aggregation appears as part of the measure's name in the view. For example, Sales becomes SUM(Sales). Every measure has a default aggregation which is set by Tableau when you connect to a data source. You can view or change the default aggregation for a measure-see Set the Default Aggregation for a Measure.
You can change the aggregation for a measure in the view from its context menu:
56. Frage
Skipped Join the Geo Data and Time Series Table on the Item Number ID column, and display the Store count for every State on a Map. What was the Store count in 2017 for Texas (TX)?
Join the Geo Data and Time Series Table on the Item Number ID column, and display the Store count for every State on a Map. What was the Store count in 2017 for Texas (TX)?
Antwort: A
Begründung:
Explanation
Since you need BOTH State and the YEAR, we need to use an Inner Join.
Follow the steps below:
57. Frage
If you are working with a huge dataset, which of the following are strong reasons to use a context filter?
Antwort: B,C
Begründung:
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
58. Frage
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