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Salesforce Analytics-101 Exam Syllabus Topics:

SectionObjectives
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
          Sharing Insights- Dashboards
          • 1. Dashboard composition
            • 2. Basic interactivity
              - Publishing and sharing
              • 1. Publishing to Tableau Server/Cloud
                • 2. Exporting and sharing workbooks
                  Understanding Tableau Concepts- Best practices
                  • 1. Visualization design principles
                    • 2. Data interpretation basics
                      - Core Tableau terminology
                      • 1. Data model concepts
                        • 2. Workbooks and worksheets
                          Exploring and Analyzing Data- Building views
                          • 1. Dimensions and measures
                            • 2. Charts and visual encoding
                              - Basic calculations
                              • 1. Calculated fields overview
                                • 2. Simple aggregations

                                  >> Reliable Analytics-101 Test Syllabus <<

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                                  Salesforce Certified Tableau Desktop Foundations Sample Questions (Q32-Q37):

                                  NEW QUESTION # 32
                                  Which two actions can a Tableau associate perform when joining tables from multiple connections?

                                  Answer: A,B

                                  Explanation:
                                  A multi-connection data source created for a cross-database join can be filtered and can also be converted to or used with an extract, making A and C correct. Cross-database joins allow Tableau to combine tables originating from different supported connections into one logical data source. Tableau supports these joins with either live connections or in-memory extracts. Consequently, the associate can create an extract of the resulting multi-connection data source. Data source filters can also be used to reduce the records Tableau brings into the analytical environment, subject to connector-specific limitations. The other two choices conflict with documented multi-connection restrictions. Tableau explicitly states that stored procedures are not available for multi-connection data sources, eliminating B. A union appends rows from structurally similar tables. In a multi-connection environment, Tableau Desktop requires tables being unioned to come from the same connection; tables from different databases cannot be unioned directly in Tableau Desktop.
                                  Therefore, D does not meet the scenario involving tables across multiple connections. Tableau's official cross- database documentation explains that a cross-database join requires a multi-connection data source, supports both live and extract-based operation, prohibits stored procedures for such sources, and limits unions to tables within the same connection.


                                  NEW QUESTION # 33
                                  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: A

                                  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 # 34
                                  At a minimum, what does a Tableau associate need to create a simple scatter plot?

                                  Answer: D

                                  Explanation:
                                  A basic scatter plot requires one measure on Columns and another measure on Rows, so D is correct. A scatter plot displays the relationship between two quantitative variables. One measure determines the horizontal position of each mark, while the second measure determines its vertical position. For example, placing SUM(Sales) on Columns and SUM(Profit) on Rows establishes a two-dimensional quantitative coordinate system. A dimension may then be added to Detail, Color, Shape, or another Marks property to create separate marks for entities such as customers, products, or states. However, that additional dimension is not the fundamental axis requirement identified by the question. The minimum structural requirement is two quantitative measures defining the x- and y-axes. A dimension plus a measure normally produces a categorical view such as a bar chart rather than a scatter plot. Two dimensions likewise do not supply the pair of quantitative scales required to analyze numerical correlation or distribution. Tableau's visual construction model distinguishes continuous quantitative measures, which generate axes, from discrete fields, which generally create headers. A scatter plot relies on two quantitative axes and therefore requires measures on both Rows and Columns. This is consistent with Tableau's standard scatter-plot construction methodology and its continuous-field behavior.


                                  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: A


                                  NEW QUESTION # 36
                                  Which string function should a Tableau associate use to find a substring within a column and return a Boolean value?

                                  Answer: B

                                  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 # 37
                                  ......

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