New Analytics-101 Mock Test - New Analytics-101 Exam Objectives

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Salesforce Analytics-101 Exam Syllabus Topics:

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

                                  >> New Analytics-101 Mock Test <<

                                  New Analytics-101 Exam Objectives - New Analytics-101 Test Voucher

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

                                  NEW QUESTION # 32
                                  Which two statements accurately describe relationships in Tableau Desktop?

                                  Answer: C,D

                                  Explanation:
                                  Relationships are designed to preserve each table's level of detail and keep logical tables separate within the data source, making A and B correct. Unlike physical joins, relationships do not flatten participating tables into one combined row-level table when the data source is created. Tableau keeps each logical table distinct and evaluates the relationship dynamically based on fields actually used in a visualization. This architecture helps Tableau analyze data residing at different granularities while reducing the duplication and data-loss risks that can occur with fixed physical joins. Tableau's official relationship documentation explicitly states that relationships maintain each table's native level of detail and create independent domains at multiple granularities. The tables are not merged together in the data source. Option C describes the behavior of joins or unions in the physical layer. Physical tables can be combined to form one logical table, but this is not what a relationship does. Option D is also incorrect because relationships do not require the author to choose a fixed join type such as inner, left, right, or full outer. Tableau determines appropriate joins contextually during analysis. Relevant Tableau Desktop concepts include logical tables, physical tables, relationships, contextual joins, cardinality, and preservation of granularity.


                                  NEW QUESTION # 33
                                  Which two types of fields appear blue?

                                  Answer: A,C

                                  Explanation:
                                  In Tableau, blue identifies discrete fields, regardless of whether the field is classified as a dimension or a measure. Therefore, both Discrete dimensions and Discrete measures appear blue, making B and C correct.
                                  Tableau separates two different field characteristics. The first is the semantic role: dimension or measure. The second is the behavioral classification: discrete or continuous. These concepts are related but not equivalent.
                                  A discrete field contains distinct values and normally creates headers when added to Rows or Columns.
                                  Tableau represents the pill in blue. Most dimensions are discrete by default, so blue dimensions are common.
                                  Measures are generally continuous, but a measure can be converted to discrete; once it is discrete, its pill also becomes blue. Continuous fields appear green. Continuous dimensions-most commonly continuous date dimensions-and continuous measures therefore use green pills and typically create axes rather than headers.
                                  Tableau's official Dimensions and Measures documentation explicitly presents four valid combinations:
                                  discrete dimensions, continuous dimensions, discrete measures, and continuous measures. It shows discrete dimensions and discrete measures as blue, while both continuous forms are green. This distinction is foundational to predicting how Tableau will structure a visualization.


                                  NEW QUESTION # 34
                                  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: D

                                  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 # 35
                                  What are three geographic roles that a Tableau associate can assign to a field?

                                  Answer: C,D,E

                                  Explanation:
                                  The supported choices are Country, Airport, and City, making A, B, and D correct. A geographic role tells Tableau how the values in a field should be interpreted geographically. Once Tableau recognizes the role, it can associate those values with built-in geocoding information and generate geographic fields such as Latitude (generated) and Longitude (generated) for map creation. Tableau's supported location data includes countries and regions, cities, states and provinces, postal codes, airport codes, and several other standardized geographic structures. Country and City are therefore standard geographic roles. Tableau also supports worldwide airport codes, enabling fields containing appropriate airport identifiers to be interpreted geographically. A general street Address is not one of the standard built-in geographic roles represented by the answer set. Exact street-address mapping normally requires appropriate coordinate information, spatial data, custom geocoding, or another supported technique. Time zone likewise is not a standard geographic role used by Tableau's built-in geocoding model. The distinction matters because assigning an unsupported semantic category does not automatically give Tableau coordinates. Official Tableau Desktop mapping guidance specifically identifies countries, cities, airport codes, and other supported geographic location categories for map creation.


                                  NEW QUESTION # 36
                                  A Tableau associate needs to access options to change a dimension's color palette.
                                  In addition to the Marks card, what else can the associate use?

                                  Answer: A

                                  Explanation:
                                  The associate can access the palette controls from the Color legend, making A correct. When a discrete dimension is placed on Color, Tableau generates a categorical color legend that identifies each dimension member and its assigned color. From the Color legend, the analyst can access Edit Colors, where a different palette can be selected and individual members can be assigned specific colors. This provides an alternative to opening the color configuration from the Marks card. The Format menu controls broader formatting characteristics such as fonts, borders, alignment, shading, and other presentation settings. Although newer Tableau versions include workbook-level palette functionality, the question concerns changing the palette associated with the dimension already encoded in the visualization, for which the Color legend is the direct alternative to the Marks card. Edit Caption modifies descriptive text associated with an object or field rather than its visual encoding. Edit in Shelf is also unrelated to palette management. Official Tableau documentation states that users can open the menu in the upper-right corner of a categorical color legend and select Edit Colors, after which they can choose or modify the palette assigned to the field's members.


                                  NEW QUESTION # 37
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