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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Sharing Insights | 25% | - Ensure accessibility and clarity - Publish and share workbooks - Set permissions and access - Export and publish visualizations |
| Topic 2: Exploring and Analyzing Data | 37% | - Apply calculations and aggregations - Create and customize visualizations - Sort, group, and summarize data - Use filters, parameters, and sets - Create interactive dashboards and stories |
| Topic 3: Understanding Tableau Concepts | 15% | - Data types and roles - Dimensions vs measures - Visualization best practices - Workbook, worksheet, and dashboard structure |
| Topic 4: Connecting to and Preparing Data | 23% | - Manage data fields and hierarchies - Join and union data - Data cleaning and transformation - Connect to various data sources |
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NEW QUESTION # 33
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?
Answer: B
Explanation:
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.
NEW QUESTION # 34
What are two correct methods for creating a visual group?
Answer: C,D
Explanation:
Tableau supports creating groups either directly from selected marks in a visualization or from a field in the Data pane. Therefore, A and D are correct. For the first method, the analyst selects one or more marks in the view. Tableau exposes a grouping control in the selection tooltip or toolbar. Activating the Group command combines the dimension members represented by those marks into a new group. This method is particularly effective when the analyst identifies categories visually during exploration. For the second method, the analyst can right-click a dimension in the Data pane and select Create > Group. Tableau opens the Create Group dialog, where multiple members can be selected and grouped explicitly. Option C represents another Tableau capability, but not grouping: dragging one dimension directly onto another in the Data pane is used to create a hierarchy. Hierarchies organize related dimensions into drillable levels rather than consolidating dimension members into a group. Opening the general drop-down menu at the top of the Data pane is likewise not the specified procedure for creating a visual group. Tableau's official Group Your Data documentation identifies exactly these two core workflows: create a group by selecting data in the view or create a group from a field in the Data pane.
NEW QUESTION # 35
A Tableau associate needs to display the complete list of potential data connections when connecting to a server.
Which action should the associate perform?
Answer: A
Explanation:
The associate should select More under To a Server, making D correct. Tableau Desktop organizes available connectors on the Connect pane into broad categories such as To a File and To a Server. Frequently used server connectors may be displayed directly, but Tableau provides the More option to expose the complete list of supported server-based connection types available in the installation. Official Tableau connector documentation repeatedly states: For a complete list of data connections, select More under To a Server. This workflow is used when locating database and server connectors such as Microsoft SQL Server, PostgreSQL, SharePoint Lists, and other supported platforms. Selecting More under To a File instead displays file-based connection types and therefore does not satisfy a requirement specifically involving server connections.
Choosing File > New creates a new workbook and does not expose the complete server connector list.
"Connecting to Data" is not the command required to reveal all server options. This distinction is operationally important because the Connect pane intentionally surfaces common connector choices while More exposes the broader connector catalog. Current Tableau documentation for multiple server connectors confirms the More under To a Server workflow for viewing the complete connection list.
NEW QUESTION # 36
What are three ways to access bolding options for the text in a tooltip?
Answer: B,C,E
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 # 37
When should a Tableau associate use a relationship instead of a join for two data sets?
Answer: C
Explanation:
A relationship is particularly appropriate when the tables being combined contain data at different levels of detail, making D correct. Tableau relationships operate in the logical layer of the data model and preserve each logical table's native granularity. Tableau determines the necessary joins dynamically during analysis according to the fields used in the visualization. This behavior is materially different from a physical join. A join merges records into a single physical table before analysis. If tables have different granularities, a physical join can duplicate measure values or remove records depending on the join structure and matching keys. Relationships reduce that risk because Tableau aggregates relevant information according to each table's natural level of detail before combining results as required by the visualization. Official Tableau guidance explicitly recommends relationships for combining data from different levels of detail. Relationships also preserve independent logical tables rather than flattening them into a single physical table. Option B merely describes where tables reside and does not determine whether a relationship or join is preferable. Options A and C likewise do not identify the principal modeling scenario addressed by relationships. Relevant Tableau Desktop concepts include logical tables, physical tables, relationships, joins, aggregation behavior, and preservation of level of detail.
NEW QUESTION # 38
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