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| Section | Weight | Objectives |
|---|---|---|
| Exploring and Analyzing Data | 37% | - Apply analytics to a worksheet - Create basic charts - Organize data and apply filters |
| Understanding Tableau Concepts | 15% | - Understand discrete and continuous fields - Understand aggregations - Understand dimensions and measures |
| Connecting to and Preparing Data | 23% | - Create live connections and extracts - Create and manage the data model - Manage data properties |
| Sharing Insights | 25% | - View and share workbook data - Create and modify a dashboard - Format view for presentation |
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NEW QUESTION # 16
Which three elements are included in a packaged workbook (.twbx)?
Answer: A,B,C
Explanation:
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.
NEW QUESTION # 17
What are three ways to access bolding options for the text in a tooltip?
Answer: D,E,F
Explanation:
The three applicable routes are Tooltip on the Marks card, Format > Font, and Worksheet > Tooltip, so C, E, and F are correct. Selecting Tooltip on the Marks card opens the Edit Tooltip dialog. This editor contains text- formatting controls that allow tooltip content to be formatted, including the application of bold styling to selected text. Tableau also provides an equivalent route through Worksheet > Tooltip, which opens the same tooltip-editing environment for the current worksheet. A third route is through Format > Font. Tableau's worksheet-level font formatting includes a specific Tooltip section. This enables formatting of tooltip text at the worksheet level, including font style settings such as bold. This method is useful when a consistent tooltip font treatment is required rather than individually formatting portions of the tooltip body. The keyboard sequences listed in A and D are not defined Tableau methods for accessing tooltip formatting options merely by hovering over a mark. Right-clicking an arbitrary field and selecting Format is primarily associated with field/view formatting and is not the specified route to the tooltip bolding controls in this question. Official Tableau documentation confirms both Tooltip on the Marks card and Worksheet > Tooltip, while current Font formatting documentation exposes Tooltip as a configurable font target.
NEW QUESTION # 18
A Tableau associate has a data set that builds a union between two tables. The associate needs to extract the data set.
What should the associate use to extract the data set?
Answer: C
Explanation:
The correct configuration is Logical tables that use a single table extract, making C correct. In Tableau's data model, a union operates in the physical layer. The two unioned physical tables are merged into one resulting logical table. Tableau explicitly describes logical tables as containers that can contain multiple physical tables joined or unioned together. When an extract is stored using Logical Tables, Tableau creates one extract table for each logical table in the data source. Because the scenario contains one logical table composed of the two unioned physical tables, the extract is consequently represented as a single extract table. This is different from using Physical Tables storage. Physical storage retains an extract table for each physical table and is subject to additional eligibility restrictions. Tableau's current terminology replaced the older "Single Table" and
"Multiple Tables" extract terminology with Logical Tables and Physical Tables, respectively. Official Tableau documentation states that physical tables joined or unioned inside a logical table are merged as part of that logical table, and that Logical Tables extract storage creates one extract table per logical table. Therefore, a two-table union forming one logical table corresponds to a logical/single-table extract structure.
NEW QUESTION # 19
What are two outcomes when a Tableau associate drags a continuous date value to the Rows shelf?
Answer: B,D
Explanation:
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.
NEW QUESTION # 20
A Tableau associate wants to assign the Latitude geographic role to a field.
What should be the data type and the data role of the field?
Choose two options.
Answer: A,C
Explanation:
For a standard custom latitude field, Tableau recommends a Number (decimal) data type and a Measure data role. Therefore, A and B are correct. Latitude represents a numeric coordinate, including fractional values such as 40.7128, so Number (decimal) is the appropriate data type. Treating latitude as a measure enables Tableau to position coordinate values continuously on an axis rather than interpreting each coordinate as an independent categorical member. Tableau's official mapping guidance states that, in most cases, latitude and longitude fields should have a data type of Number (decimal), a data role of Measure, and the corresponding Latitude or Longitude geographic role. When used in a map, Longitude is normally placed on Columns and Latitude on Rows as continuous measures. This differs from geographic fields such as Country, State, or City, which are usually string dimensions. Although specialized mapping scenarios can convert latitude or longitude to dimensions, that is not the standard configuration addressed by this question. The official Tableau mapping documentation explicitly specifies the Number (decimal) + Measure configuration for latitude and longitude fields when preparing geographic data for mapping.
NEW QUESTION # 21
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