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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understanding Tableau Concepts | 15% | - Data types and roles - Visualization best practices - Dimensions vs measures - Workbook, worksheet, and dashboard structure |
| Topic 2: Connecting to and Preparing Data | 23% | - Manage data fields and hierarchies - Data cleaning and transformation - Join and union data - Connect to various data sources |
| Topic 3: Sharing Insights | 25% | - Publish and share workbooks - Export and publish visualizations - Ensure accessibility and clarity - Set permissions and access |
| Topic 4: Exploring and Analyzing Data | 37% | - Sort, group, and summarize data - Create interactive dashboards and stories - Create and customize visualizations - Use filters, parameters, and sets - Apply calculations and aggregations |
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27. Frage
What are two outcomes when a Tableau associate drags a continuous date value to the Rows shelf?
Antwort: B,C
Begründung:
A continuous date field produces a green pill and generates an axis, making B and C correct. Tableau uses color as an immediate visual cue for discrete versus continuous fields. Green pills represent continuous fields, whereas blue pills represent discrete fields. A date can function in either form. When the analyst chooses a continuous date value such as continuous Month or continuous Year, Tableau represents the field as an unbroken temporal range rather than a finite collection of date-part headers. When this continuous date is placed on the Rows shelf, Tableau generates a continuous axis corresponding to the selected temporal granularity. The axis behaves similarly to other continuous quantitative axes in the sense that values occupy positions along an uninterrupted scale. Option A instead characterizes a discrete date part, such as discrete Month, where Tableau creates categorical headers or labels like January, February, and March. Option D is likewise associated with discrete fields because discrete pills are blue. Tableau's official Continuous Dates documentation states that continuous dates create an axis and that converting a date field to continuous causes the field to turn green. Tableau's general field-role documentation separately confirms that continuous fields create axes while discrete fields create headers.
28. Frage
A Tableau associate has the following data.
The associate wants to sort each category's sub-category by ascending sales.
Which sort option should the associate use?
Antwort: B
Begründung:
The correct option is Nested because the Sub-category members must be sorted independently within each Category based on Sales. A nested sort evaluates the measure separately inside each pane or parent dimensional grouping. In this example, the Home sub-categories should be sorted according to their Home Sales values, while the Bath sub-categories must be sorted independently according to the Bath Sales values.
For Home, Bulk has Sales of $50 and Accessory has $60, so ascending order is Bulk followed by Accessory.
For Bath, Accessory has $45 and Bulk has $75, so ascending order is Accessory followed by Bulk. This demonstrates why a single global ordering is insufficient: the correct Sub-category order differs between the two Category groups. A non-nested field sort can produce a consistent order based on aggregated values across the view, which would not satisfy the requirement to rank Sub-category independently inside each Category. Manual sorting would require explicit maintenance, while data source order simply follows the ordering supplied by the underlying source. Tableau's official sorting documentation states that nested sorting considers values independently per pane and sorts the values separately within those panes.
29. 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: D
30. Frage
Which two elements can have their values changed by using a dashboard action?
Antwort: A,C
Begründung:
Tableau dashboard actions can directly change Parameters and Sets, so B and C are correct. A parameter action allows a user to modify a parameter value by interacting directly with marks in a visualization. For example, selecting a mark can assign the mark's Sales value to a parameter, which can subsequently drive a calculated field, reference line, filter logic, or another analytical component. Tableau provides the dashboard action type Change Parameter specifically for this purpose. A set action similarly modifies the membership of an existing set based on interaction with marks. The action can assign selected values to the set, add values, or remove values. This enables sophisticated interactive behavior such as proportional brushing, dynamic comparisons, drill-down effects, and conditional calculations. Tableau identifies this action type as Change Set Values. Groups and bins do not have equivalent dashboard action types that dynamically modify their definitions through viewer interaction. They are data organization constructs configured during authoring. The Tableau Actions documentation explicitly lists Change Parameter and Change Set Values among supported action types. Parameter Actions documentation confirms that visualization interaction can update the target parameter, while Set Actions documentation confirms that interactions can modify values contained in a target set.
31. Frage
A Tableau associate is creating a combined axis chart.
Where should the associate drag the second measure after dragging the first measure to the Rows shelf?
Antwort: A
Begründung:
Because the first measure is on the Rows shelf, Tableau creates a vertical quantitative axis in the visualization. To construct a combined axis, the associate should drag the second measure directly onto that existing vertical axis, making B correct. A combined axis allows multiple measures to share the same axis instead of displaying them in separate panes or on independent dual axes. When the second measure is dragged onto the existing axis and Tableau displays the appropriate drop indicator, Tableau creates a shared Measure Values-based view containing both measures. The orientation matters. Fields on Rows normally produce a vertical y-axis, whereas fields on Columns normally generate a horizontal x-axis. Consequently, because the first measure was specifically placed on Rows, the target is the vertical axis rather than the horizontal axis. Dropping the second measure on the Marks card would encode that field through a mark property rather than create a combined quantitative axis. Dropping it on Filters would restrict records or values and would not combine the measures. This mechanism should also be distinguished from a dual-axis chart, where two independent axes are layered. A combined axis instead places multiple measures on a shared axis and commonly uses Measure Names and Measure Values for differentiation.
32. Frage
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