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| Section | Weight | Objectives |
|---|---|---|
| Exploring and Analyzing Data | 37% | - Create interactive dashboards and stories - Sort, group, and summarize data - Apply calculations and aggregations - Use filters, parameters, and sets - Create and customize visualizations |
| Connecting to and Preparing Data | 23% | - Join and union data - Data cleaning and transformation - Manage data fields and hierarchies - Connect to various data sources |
| Sharing Insights | 25% | - Set permissions and access - Publish and share workbooks - Export and publish visualizations - Ensure accessibility and clarity |
| Understanding Tableau Concepts | 15% | - Workbook, worksheet, and dashboard structure - Visualization best practices - Dimensions vs measures - Data types and roles |
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ActualtestPDF Analytics-101 practice test has real Analytics-101 exam questions. You can change the difficulty of these questions, which will help you determine what areas appertain to more study before taking your Salesforce Certified Tableau Desktop Foundations (Analytics-101) exam dumps. Here we listed some of the most important benefits you can get from using our Salesforce Certified Tableau Desktop Foundations (Analytics-101) practice questions.
NEW QUESTION # 12
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: C
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 # 13
A Tableau associate wants to assign the Latitude geographic role to a field.
What should be the data type and the data role of the field?
Choose two options.
Answer: B,D
Explanation:
For a standard custom latitude field, Tableau recommends a Number (decimal) data type and a Measure data role. Therefore, A and B are correct. Latitude represents a numeric coordinate, including fractional values such as 40.7128, so Number (decimal) is the appropriate data type. Treating latitude as a measure enables Tableau to position coordinate values continuously on an axis rather than interpreting each coordinate as an independent categorical member. Tableau's official mapping guidance states that, in most cases, latitude and longitude fields should have a data type of Number (decimal), a data role of Measure, and the corresponding Latitude or Longitude geographic role. When used in a map, Longitude is normally placed on Columns and Latitude on Rows as continuous measures. This differs from geographic fields such as Country, State, or City, which are usually string dimensions. Although specialized mapping scenarios can convert latitude or longitude to dimensions, that is not the standard configuration addressed by this question. The official Tableau mapping documentation explicitly specifies the Number (decimal) + Measure configuration for latitude and longitude fields when preparing geographic data for mapping.
NEW QUESTION # 14
What are two methods for renaming a field in a visualization?
Answer: B,C
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 # 15
A Tableau associate needs to change the color intensity of a quantitative range.
Which option should the associate use?
Answer: C
NEW QUESTION # 16
Which two statements accurately describe relationships in Tableau Desktop?
Answer: A,C
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 # 17
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