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| Section | Weight | Objectives |
|---|---|---|
| Exploring and Analyzing Data | 37% | - Create and customize visualizations - Sort, group, and summarize data - Apply calculations and aggregations - Use filters, parameters, and sets - Create interactive dashboards and stories |
| Sharing Insights | 25% | - Set permissions and access - Publish and share workbooks - Ensure accessibility and clarity - Export and publish visualizations |
| Understanding Tableau Concepts | 15% | - Visualization best practices - Workbook, worksheet, and dashboard structure - Dimensions vs measures - Data types and roles |
| Connecting to and Preparing Data | 23% | - Join and union data - Connect to various data sources - Data cleaning and transformation - Manage data fields and hierarchies |
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21. Frage
When using a data source that has relationships, how can a Tableau associate add a join between two or more tables?
Antwort: C
Begründung:
To create a join in a data source that already uses relationships, the associate must double-click a logical table in the canvas, making C correct. Tableau's data model has two layers. The top-level logical layer contains logical tables connected by relationships. A join cannot be created directly between these logical tables because joins operate in the underlying physical layer. Double-clicking a logical table opens its physical Join
/Union canvas. From there, the associate can drag or double-click additional physical tables and define the required join clauses and join type. This distinction is fundamental to Tableau's modern data model.
Relationships connect logical tables while keeping them separate and preserving their natural level of detail.
Joins merge physical tables into one logical table using an explicitly defined join configuration. Selecting Add in the Connections pane adds another connection; it does not itself create the join. Dragging a table directly onto the top-level logical canvas generally creates a relationship rather than a physical join. Double-clicking a table in the Tables pane is not the step used to enter the physical layer of an existing logical table. Tableau's official documentation explicitly instructs users to double-click a logical table to open the physical layer where joins and unions can be created.
22. Frage
Which two types of fields appear blue?
Antwort: B,C
Begründung:
In Tableau, blue identifies discrete fields, regardless of whether the field is classified as a dimension or a measure. Therefore, both Discrete dimensions and Discrete measures appear blue, making B and C correct.
Tableau separates two different field characteristics. The first is the semantic role: dimension or measure. The second is the behavioral classification: discrete or continuous. These concepts are related but not equivalent.
A discrete field contains distinct values and normally creates headers when added to Rows or Columns.
Tableau represents the pill in blue. Most dimensions are discrete by default, so blue dimensions are common.
Measures are generally continuous, but a measure can be converted to discrete; once it is discrete, its pill also becomes blue. Continuous fields appear green. Continuous dimensions-most commonly continuous date dimensions-and continuous measures therefore use green pills and typically create axes rather than headers.
Tableau's official Dimensions and Measures documentation explicitly presents four valid combinations:
discrete dimensions, continuous dimensions, discrete measures, and continuous measures. It shows discrete dimensions and discrete measures as blue, while both continuous forms are green. This distinction is foundational to predicting how Tableau will structure a visualization.
23. Frage
A Tableau associate has a bar chart that has a dimension on the Columns shelf and a measure on the Rows shelf.
How can the associate make a stacked bar chart?
Antwort: B
24. Frage
Which three elements are included in a packaged workbook (.twbx)?
Antwort: B,C,E
Begründung:
A Tableau packaged workbook uses the .twbx format to bundle a workbook with supporting local resources needed to use it outside the author's original environment. The correct elements are background images, custom shapes, and extract files. Tableau explicitly lists background images, custom shapes, and Tableau extract files (.hyper) among the resources that can be incorporated into a packaged workbook. These supporting assets are bundled so that another user does not need access to the original local paths used by the workbook author. Other packageable resources include custom geocoding, local cube files, Excel files, Access files, and text-based local data sources. A PDF version of the workbook is not automatically generated and embedded inside a .twbx, making C incorrect. A Tableau Datasource Customization .tdc file is likewise not listed among the standard resources incorporated into a packaged workbook. A .twbx is therefore fundamentally a portable Tableau workbook package rather than simply a workbook definition. This distinction is important when distributing workbooks that depend on local resources. Official Tableau Desktop documentation lists background images, custom shapes, and Tableau extract files among the files included in packaged workbooks.
25. Frage
What is a Tableau story point?
Antwort: B
Begründung:
A story point is an individual visualization state within a Tableau story, normally represented by a worksheet or dashboard. Therefore, A is correct. Tableau defines a story as a sequence of visualizations that collectively communicate information, provide context, demonstrate relationships, or support a data-driven narrative.
Each individual sheet contained in that sequence is called a story point. A story can contain multiple points, and each point can present a different worksheet, dashboard, filter state, annotation, or analytical stage.
Option C describes the overall story, not an individual story point. The distinction is important: the story represents the complete ordered narrative, while the story point represents one step within that narrative.
Option B is not an official Tableau object or definition. Option D refers to controls within the story workspace and does not define a story point. This functionality allows an analyst to guide viewers through findings in a controlled sequence while preserving interactive visualization capabilities where supported. Official Tableau Desktop documentation explicitly states that a story is a collection of sheets arranged in sequence and that each individual sheet in a story is called a story point.
26. Frage
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