Salesforce Analytics-101 Free Vce Dumps, Analytics-101 Guide

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

                                  >> Salesforce Analytics-101 Free Vce Dumps <<

                                  TOP Analytics-101 Free Vce Dumps - The Best Salesforce Salesforce Certified Tableau Desktop Foundations - Analytics-101 Guide

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                                  Salesforce Certified Tableau Desktop Foundations Sample Questions (Q18-Q23):

                                  NEW QUESTION # 18
                                  Which string function returns a Boolean value as a result?

                                  Answer: D

                                  Explanation:
                                  STARTSWITH is the function that returns a Boolean result, so D is correct. The function evaluates whether one string begins with a specified substring. Its conceptual syntax is STARTSWITH(string, substring). If the original string begins with that substring, Tableau evaluates the expression as TRUE; otherwise, it evaluates as FALSE. For example, STARTSWITH([Customer Name], "A") returns TRUE for values beginning with A and FALSE for other values. Because the output is Boolean, STARTSWITH is particularly useful in calculated fields, conditional expressions, filters, classifications, and data-quality logic. The other listed functions return different data types. CHAR converts a numeric character code to its corresponding character and therefore returns a string. FIND searches for the position of a substring and returns a numeric position.
                                  UPPER converts the supplied text to uppercase and returns another string. Consequently, only STARTSWITH directly produces the TRUE/FALSE result required by the question. This distinction is fundamental when selecting functions for Boolean calculations because Tableau evaluates Boolean fields differently from numeric and string-returning expressions.


                                  NEW QUESTION # 19
                                  What is a Tableau story point?

                                  Answer: D

                                  Explanation:
                                  A story point is an individual visualization state within a Tableau story, normally represented by a worksheet or dashboard. Therefore, A is correct. Tableau defines a story as a sequence of visualizations that collectively communicate information, provide context, demonstrate relationships, or support a data-driven narrative.
                                  Each individual sheet contained in that sequence is called a story point. A story can contain multiple points, and each point can present a different worksheet, dashboard, filter state, annotation, or analytical stage.
                                  Option C describes the overall story, not an individual story point. The distinction is important: the story represents the complete ordered narrative, while the story point represents one step within that narrative.
                                  Option B is not an official Tableau object or definition. Option D refers to controls within the story workspace and does not define a story point. This functionality allows an analyst to guide viewers through findings in a controlled sequence while preserving interactive visualization capabilities where supported. Official Tableau Desktop documentation explicitly states that a story is a collection of sheets arranged in sequence and that each individual sheet in a story is called a story point.


                                  NEW QUESTION # 20
                                  To which type of element can a Tableau associate apply a default aggregation?

                                  Answer: D

                                  Explanation:
                                  A default aggregation can be specified for a measure, making A correct. Measures represent quantitative values and are normally aggregated when they are added to a visualization. For example, a Sales measure typically appears as SUM(Sales). Tableau allows the author to change the measure's default aggregation so that subsequent uses of the field can initially use AVG, MIN, MAX, COUNT, standard deviation, or another supported aggregation instead of SUM. The configuration is available from the Data pane by right-clicking the measure and selecting Default Properties > Aggregation. The choice becomes the default behavior when the field is subsequently added to a view, although the aggregation can still be overridden for an individual instance of the field. Dimensions do not use a default measure aggregation in this manner because their primary role is to partition and categorize the data. Bins are generated categorical fields representing numerical intervals. An already aggregated calculated expression also has restrictions because Tableau cannot arbitrarily aggregate an expression that is already defined at an aggregate level. Tableau's official Default Settings documentation specifically states that users can specify a default aggregation for any measure and documents the Data pane workflow for configuring it.


                                  NEW QUESTION # 21
                                  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 # 22
                                  Which two elements can have their values changed by using a dashboard action?

                                  Answer: B,C

                                  Explanation:
                                  Tableau dashboard actions can directly change Parameters and Sets, so B and C are correct. A parameter action allows a user to modify a parameter value by interacting directly with marks in a visualization. For example, selecting a mark can assign the mark's Sales value to a parameter, which can subsequently drive a calculated field, reference line, filter logic, or another analytical component. Tableau provides the dashboard action type Change Parameter specifically for this purpose. A set action similarly modifies the membership of an existing set based on interaction with marks. The action can assign selected values to the set, add values, or remove values. This enables sophisticated interactive behavior such as proportional brushing, dynamic comparisons, drill-down effects, and conditional calculations. Tableau identifies this action type as Change Set Values. Groups and bins do not have equivalent dashboard action types that dynamically modify their definitions through viewer interaction. They are data organization constructs configured during authoring. The Tableau Actions documentation explicitly lists Change Parameter and Change Set Values among supported action types. Parameter Actions documentation confirms that visualization interaction can update the target parameter, while Set Actions documentation confirms that interactions can modify values contained in a target set.


                                  NEW QUESTION # 23
                                  ......

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