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Salesforce Analytics-101 Exam Syllabus Topics:

SectionObjectives
Sharing Insights- Publishing and sharing
  • 1. Publishing to Tableau Server/Cloud
    • 2. Exporting and sharing workbooks
      - Dashboards
      • 1. Basic interactivity
        • 2. Dashboard composition
          Understanding Tableau Concepts- Core Tableau terminology
          • 1. Data model concepts
            • 2. Workbooks and worksheets
              - Best practices
              • 1. Visualization design principles
                • 2. Data interpretation basics
                  Connecting to Data- Data sources and connections
                  • 1. Data extraction vs live connection
                    • 2. Connecting to files and databases
                      - Data preparation basics
                      • 1. Basic data shaping concepts
                        • 2. Data types and roles
                          Exploring and Analyzing Data- Building views
                          • 1. Dimensions and measures
                            • 2. Charts and visual encoding
                              - Basic calculations
                              • 1. Simple aggregations
                                • 2. Calculated fields overview

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                                  Salesforce Certified Tableau Desktop Foundations Sample Questions (Q20-Q25):

                                  NEW QUESTION # 20
                                  A Tableau associate has a group that contains three members and the Other group.
                                  What occurs when the associate ungroups one of the members?

                                  Answer: A

                                  Explanation:
                                  Because the group field contains an enabled Other group, ungrouping one of the explicitly grouped members causes that member to be placed into Other. Therefore, A is correct. Tableau groups allow analysts to combine individual members of a dimension into higher-level categories. When the Include "Other" option is enabled, all members that are not assigned to one of the explicitly defined groups are collected automatically into an Other category. Tableau's official Group Your Data documentation specifically describes the behavior of removing members from an existing group. The analyst opens Edit Group, selects the member, and chooses Ungroup. Tableau removes the selected member from its current explicit group. Critically, the documentation states that if an Other group exists, the removed members are added to it. The underlying original dimension member is not deleted. However, option B is incomplete for this exact scenario because the question explicitly states that the Other group exists; Tableau does not merely leave the member ungrouped-it places it into Other. No new single-member group is automatically created, eliminating C, and removing one member does not delete the entire group, eliminating D. This behavior is central to Tableau's dimension grouping and Other- category management.


                                  NEW QUESTION # 21
                                  Which chart type uses automatically generated sizes that cannot be resized by using the Marks card?

                                  Answer: C

                                  Explanation:
                                  The correct answer is Treemaps. A treemap represents data as a set of rectangles. Tableau uses one or more dimensions to define the rectangular structure, while a measure placed on Size determines each rectangle's relative area. Tableau automatically lays out the rectangles to use the available visualization space efficiently.
                                  The analyst therefore controls relative size through the measure encoded on Size rather than manually resizing the generated rectangles with the ordinary Marks card size slider. For example, if Sub-Category defines the rectangles and Sales is placed on Size, categories with larger aggregated Sales values receive proportionally larger rectangles. Changing the Sales values or replacing the field on Size changes the relative areas, while Tableau recalculates the layout automatically. Pie charts have mark-size controls and can be resized through the Marks card. Area charts derive their visual area from their axes and underlying measures. Histograms use bars representing bins and frequencies and have different bar-sizing behavior. Tableau's official Treemap documentation identifies Size and Color as the crucial encodings and explains that a measure on Size determines the areas of the rectangles. The resulting treemap geometry is automatically laid out according to those values rather than manually sized mark by mark.


                                  NEW QUESTION # 22
                                  Which aggregation is available without requiring a table calculation or calculated field?

                                  Answer: A

                                  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 # 23
                                  What allows a Tableau associate to drill up or down in the level of detail (LOD)?

                                  Answer: B

                                  Explanation:
                                  Hierarchies provide Tableau's native mechanism for drilling up and down through related levels of detail, making A correct. A hierarchy organizes dimensions into an ordered structure such as Region > State > City, Category > Sub-Category > Product, or a standard date hierarchy such as Year > Quarter > Month > Day.
                                  When a hierarchy field is placed in a visualization, Tableau displays plus and minus controls that permit the analyst to expand to a more detailed level or collapse to a higher level. Drilling down adds another hierarchy level to the view, increasing the level of detail. Drilling up removes a lower level and returns the analysis to a more aggregated perspective. This functionality allows analysts to move through different analytical granularities without manually adding and removing each related field. Bins serve a different purpose: they partition continuous numeric values into intervals. Groups consolidate selected dimension members into broader categories. Sets identify subsets of data according to membership logic or user selections. None of those constructs inherently provides structured drill-up/drill-down navigation. Tableau's official hierarchy documentation explicitly states that hierarchies allow users to quickly drill up or down to add or subtract levels of detail and identifies the plus and minus icons as the controls used for this operation.


                                  NEW QUESTION # 24
                                  Which three elements are included in a packaged workbook (.twbx)?

                                  Answer: B,C,D

                                  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 # 25
                                  ......

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