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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring and Analyzing Data | 37% | - Apply analytics to a worksheet - Organize data and apply filters - Create basic charts |
| Topic 2: Connecting to and Preparing Data | 23% | - Create live connections and extracts - Manage data properties - Create and manage the data model |
| Topic 3: Sharing Insights | 25% | - Create and modify a dashboard - View and share workbook data - Format view for presentation |
| Topic 4: Understanding Tableau Concepts | 15% | - Understand dimensions and measures - Understand discrete and continuous fields - Understand aggregations |
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NEW QUESTION # 31
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: D
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 # 32
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: C
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 # 33
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 # 34
A Tableau associate needs to change the color intensity of a quantitative range.
Which option should the associate use?
Answer: B
NEW QUESTION # 35
Which string function should a Tableau associate use to find a substring within a column and return a Boolean value?
Answer: D
Explanation:
The correct function is CONTAINS, making D correct. Its syntax is conceptually CONTAINS(string, substring), and it returns a Boolean result indicating whether the specified substring exists anywhere within the source string. For example, CONTAINS([Product Name] , "Office") evaluates to TRUE for records where Product Name contains the sequence "Office" and FALSE where it does not. This makes CONTAINS useful for classification calculations, conditional logic, filtering, validation, and text-based segmentation. The other functions perform different operations. RTRIM removes trailing spaces and returns a string. SPLIT separates a string using a delimiter and returns the requested substring component. ENDSWITH does return a Boolean value, but it tests specifically whether the original string ends with the supplied substring. The requirement is to determine whether a substring occurs somewhere within the column value, so ENDSWITH is too restrictive. Tableau's official String Functions reference explicitly defines CONTAINS(string, substring) as returning TRUE when the supplied string contains the specified substring and identifies its output data type as Boolean. The same documentation distinguishes CONTAINS from STARTSWITH, ENDSWITH, trimming functions, and string parsing functions. Relevant topics include calculated fields, string functions, Boolean calculations, and text manipulation.
NEW QUESTION # 36
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