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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Sharing Insights | 25% | - Format view for presentation - View and share workbook data - Create and modify a dashboard |
| Topic 2: Exploring and Analyzing Data | 37% | - Apply analytics to a worksheet - Create basic charts - Organize data and apply filters |
| Topic 3: Understanding Tableau Concepts | 15% | - Understand discrete and continuous fields - Understand aggregations - Understand dimensions and measures |
| Topic 4: Connecting to and Preparing Data | 23% | - Create and manage the data model - Create live connections and extracts - Manage data properties |
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NEW QUESTION # 35
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?
Answer: C
Explanation:
To convert the existing bar chart into a stacked bar chart, the associate should drag another dimension to Color on the Marks card. The initial bar chart already contains a dimension on Columns and a measure on Rows. Adding another categorical dimension to Color partitions each bar according to the members of that second dimension. Tableau assigns a separate color to each resulting group and, because automatic stacking is enabled for bar marks by default, those groups are displayed cumulatively within each bar. For example, if Category is on Columns and SUM(Sales) is on Rows, adding Segment to Color divides each Category bar into Consumer, Corporate, and Home Office segments while preserving the bar's total Sales magnitude.
Dragging another dimension to Size changes the visual size encoding rather than creating standard stacked segments. Adding another measure to Rows typically introduces an additional axis or measure structure. A measure placed on Color generally creates a quantitative gradient rather than categorical stacked segments.
Tableau's official Stack Marks documentation describes this exact construction: a dimension on Columns, a measure on Rows, and another dimension used to color-encode the marks.
NEW QUESTION # 36
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,D
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 # 37
Which two types of fields appear blue?
Answer: B,C
Explanation:
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.
NEW QUESTION # 38
A Tableau associate needs to share a workbook with a user who does NOT have access to the underlying data.
The user must be able to modify existing visualizations.
What should the associate do?
Answer: A
Explanation:
The associate should save the workbook as a Tableau Packaged Workbook (.twbx). A packaged workbook can contain the workbook itself together with copies of supported local data sources, Tableau extracts, background images, and other workbook resources. This directly addresses the scenario because the recipient does not have access to the original underlying data. When appropriate data is packaged with the workbook, the recipient can open the workbook in Tableau Desktop and interact with or modify its existing worksheets and visualizations without requiring the author's original file paths. A .twb file contains the workbook definition but normally references external data rather than packaging the required local resources. Therefore, it would not reliably solve the access problem. Creating a .hyper file alone provides an extract but does not contain the complete Tableau workbook, including worksheets, dashboards, calculations, formatting, parameters, and visualization definitions. Exporting views produces presentation-oriented outputs and does not satisfy the requirement to modify the existing Tableau visualizations. Tableau specifically recommends packaged workbooks when sharing with someone who does not have access to referenced resources or the original environment.
NEW QUESTION # 39
Which aggregation is available without requiring a table calculation or calculated field?
Answer: D
Explanation:
Standard deviation is available as a native aggregation for a measure and does not require the author to create either a table calculation or a calculated field. Therefore, C is correct. When a measure is used in a Tableau view, its aggregation can be changed through the field menu. In addition to commonly used functions such as SUM, AVG, MIN, MAX, and COUNT, Tableau provides Standard Deviation and Standard Deviation (Population) as built-in aggregation choices. The calculation is performed directly over the records contributing to the current mark. Running Total and Percent of Total are different because they are table calculations. They operate on already aggregated values after Tableau has constructed the visualization and depend on the addressing and partitioning of the view. Sample covariance is supported through calculation functionality such as covariance functions but is not presented as the equivalent direct aggregation option in the basic measure aggregation menu represented by this question. Implementing covariance typically involves specifying the two expressions whose covariance is required. Tableau's official Data Aggregation documentation explicitly lists standard deviation among the aggregations available for measures, including sample and population forms. Consequently, it can be selected directly without constructing an additional calculated field or applying a quick table calculation.
NEW QUESTION # 40
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