Analytics-101 Latest Exam Guide | Analytics-101 Exam Exercise

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Salesforce Analytics-101 Exam Syllabus Topics:

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

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                                  Salesforce Certified Tableau Desktop Foundations Sample Questions (Q27-Q32):

                                  NEW QUESTION # 27
                                  What are two outcomes when a Tableau associate drags a continuous date value to the Rows shelf?

                                  Answer: B,C

                                  Explanation:
                                  A continuous date field produces a green pill and generates an axis, making B and C correct. Tableau uses color as an immediate visual cue for discrete versus continuous fields. Green pills represent continuous fields, whereas blue pills represent discrete fields. A date can function in either form. When the analyst chooses a continuous date value such as continuous Month or continuous Year, Tableau represents the field as an unbroken temporal range rather than a finite collection of date-part headers. When this continuous date is placed on the Rows shelf, Tableau generates a continuous axis corresponding to the selected temporal granularity. The axis behaves similarly to other continuous quantitative axes in the sense that values occupy positions along an uninterrupted scale. Option A instead characterizes a discrete date part, such as discrete Month, where Tableau creates categorical headers or labels like January, February, and March. Option D is likewise associated with discrete fields because discrete pills are blue. Tableau's official Continuous Dates documentation states that continuous dates create an axis and that converting a date field to continuous causes the field to turn green. Tableau's general field-role documentation separately confirms that continuous fields create axes while discrete fields create headers.


                                  NEW QUESTION # 28
                                  What are two methods for renaming a field in a visualization?

                                  Answer: C,D

                                  Explanation:
                                  Tableau allows a field to be renamed directly in the Data pane by making the field name editable or by selecting Rename from the field's contextual menu. Therefore, B and C are correct. For the first method, Tableau documentation specifies that the user can click a field name in the Data pane and hold the mouse button until the field name appears in an editable text box. The new name can then be entered and confirmed.
                                  Tableau also provides keyboard alternatives such as F2 or Ctrl+Enter. The second standard workflow is to open the field's contextual or drop-down menu and choose Rename. This changes the field name used within Tableau without changing the column name in the underlying data source. Replace References serves a different function. It substitutes one field for another throughout the workbook and is commonly used when replacing broken or obsolete field references; it is not simply a renaming command. Field Labels under formatting controls how field labels appear in a view rather than changing the Data pane field name. Tableau explicitly documents Data pane renaming and confirms that renamed fields retain the new Tableau-facing name within the workbook.


                                  NEW QUESTION # 29
                                  A Tableau associate has a continuous numeric measure named Sales.
                                  Which chart type is created when the associate double-clicks the Sales measure?

                                  Answer: C

                                  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 # 30
                                  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 # 31
                                  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: D


                                  NEW QUESTION # 32
                                  ......

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