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Salesforce Analytics-101 Exam Syllabus Topics:

SectionObjectives
Topic 1: Connecting to Data- Data sources and connections
  • 1. Connecting to files and databases
    • 2. Data extraction vs live connection
      - Data preparation basics
      • 1. Data types and roles
        • 2. Basic data shaping concepts
          Topic 2: Sharing Insights- Publishing and sharing
          • 1. Exporting and sharing workbooks
            • 2. Publishing to Tableau Server/Cloud
              - Dashboards
              • 1. Basic interactivity
                • 2. Dashboard composition
                  Topic 3: Understanding Tableau Concepts- Core Tableau terminology
                  • 1. Workbooks and worksheets
                    • 2. Data model concepts
                      - Best practices
                      • 1. Visualization design principles
                        • 2. Data interpretation basics
                          Topic 4: Exploring and Analyzing Data- Basic calculations
                          • 1. Calculated fields overview
                            • 2. Simple aggregations
                              - Building views
                              • 1. Dimensions and measures
                                • 2. Charts and visual encoding

                                  >> Valid Exam Analytics-101 Practice <<

                                  Exam Analytics-101 Success - Exam Analytics-101 Format

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                                  Salesforce Certified Tableau Desktop Foundations Sample Questions (Q10-Q15):

                                  NEW QUESTION # 10
                                  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: B


                                  NEW QUESTION # 11
                                  A Tableau associate has the following visualization.
                                  Where should the associate place a field named Region to show multiple distinct lines on the same axis?

                                  Answer: B

                                  Explanation:
                                  The associate should place Region on Color on the Marks card. A discrete dimension placed on Color partitions the marks according to the dimension's members. Consequently, the visualization produces a separate line for each Region while preserving the existing date field on Columns and Sales measure on Rows. For example, if Region contains Central, East, South, and West, Tableau separates the original Sales line into four distinct series and assigns a categorical color to each region. The lines remain plotted against the same continuous date and Sales axes, which satisfies the requirement for multiple distinct lines on the same axis. Placing Region on Rows or Columns would partition the visualization into separate panes or headers rather than overlaying distinct regional lines within the same plotting area. Path controls the order in which Tableau connects marks in a line or polygon and therefore does not provide the required categorical separation. Tableau's Marks card is specifically designed to encode fields by visual properties such as Color, Size, Label, Detail, Tooltip, and Path. Official Tableau documentation confirms that placing a discrete field- typically a dimension-on Color assigns a distinct categorical color to each value.


                                  NEW QUESTION # 12
                                  What are two correct methods for creating a visual group?

                                  Answer: B,C

                                  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 # 13
                                  A Tableau associate has a continuous numeric measure named Sales.
                                  Which chart type is created when the associate double-clicks the Sales measure?

                                  Answer: D

                                  Explanation:
                                  Double-clicking a continuous numeric measure such as Sales in an empty Tableau worksheet automatically produces a bar chart, making C correct. Tableau uses intelligent defaults when fields are double-clicked in the Data pane. With a single measure and no dimensions already defining the view, Tableau aggregates the measure-normally using its default aggregation such as SUM-and adds it to the visualization. The Automatic mark type resolves to a bar, producing a single bar representing the aggregated Sales value.
                                  Tableau's official documentation provides this exact construction using the Profit measure. It states that double-clicking Profit automatically adds the field to the view in an intelligent way, and the documented resulting visualization is a bar chart of Profit. Sales is the same type of field-a quantitative measure-so the same automatic-view rule applies. A line chart ordinarily requires an ordered dimension such as a date field to provide a sequence across which values can be connected. A pie chart requires additional categorical structure for meaningful segmentation. A text table is generally created when a dimension is double-clicked first and subsequent fields refine that cross-tabular structure. Therefore, a lone continuous numeric measure double- clicked in a new worksheet produces the automatic single-measure bar visualization.


                                  NEW QUESTION # 14
                                  When using a data source that has relationships, how can a Tableau associate add a join between two or more tables?

                                  Answer: D

                                  Explanation:
                                  To create a join in a data source that already uses relationships, the associate must double-click a logical table in the canvas, making C correct. Tableau's data model has two layers. The top-level logical layer contains logical tables connected by relationships. A join cannot be created directly between these logical tables because joins operate in the underlying physical layer. Double-clicking a logical table opens its physical Join
                                  /Union canvas. From there, the associate can drag or double-click additional physical tables and define the required join clauses and join type. This distinction is fundamental to Tableau's modern data model.
                                  Relationships connect logical tables while keeping them separate and preserving their natural level of detail.
                                  Joins merge physical tables into one logical table using an explicitly defined join configuration. Selecting Add in the Connections pane adds another connection; it does not itself create the join. Dragging a table directly onto the top-level logical canvas generally creates a relationship rather than a physical join. Double-clicking a table in the Tables pane is not the step used to enter the physical layer of an existing logical table. Tableau's official documentation explicitly instructs users to double-click a logical table to open the physical layer where joins and unions can be created.


                                  NEW QUESTION # 15
                                  ......

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