The Desktop Salesforce Analytics-101 Practice Exam Software contains real Salesforce Analytics-101 exam questions. This provides you with a realistic experience of being in an Salesforce Analytics-101 examination setting. This feature assists you in becoming familiar with the layout of the Salesforce Analytics-101 test and enhances your ability to do well on Salesforce Certified Tableau Desktop Foundations (Analytics-101) examination.
| Section | Objectives |
|---|---|
| Topic 1: Understanding Tableau Concepts | - Best practices
|
| Topic 2: Exploring and Analyzing Data | - Basic calculations
|
| Topic 3: Sharing Insights | - Dashboards
|
| Topic 4: Connecting to Data | - Data preparation basics
|
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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: C,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
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: B
NEW QUESTION # 15
A Tableau associate has a data set that builds a union between two tables. The associate needs to extract the data set.
What should the associate use to extract the data set?
Answer: D
Explanation:
The correct configuration is Logical tables that use a single table extract, making C correct. In Tableau's data model, a union operates in the physical layer. The two unioned physical tables are merged into one resulting logical table. Tableau explicitly describes logical tables as containers that can contain multiple physical tables joined or unioned together. When an extract is stored using Logical Tables, Tableau creates one extract table for each logical table in the data source. Because the scenario contains one logical table composed of the two unioned physical tables, the extract is consequently represented as a single extract table. This is different from using Physical Tables storage. Physical storage retains an extract table for each physical table and is subject to additional eligibility restrictions. Tableau's current terminology replaced the older "Single Table" and
"Multiple Tables" extract terminology with Logical Tables and Physical Tables, respectively. Official Tableau documentation states that physical tables joined or unioned inside a logical table are merged as part of that logical table, and that Logical Tables extract storage creates one extract table per logical table. Therefore, a two-table union forming one logical table corresponds to a logical/single-table extract structure.
NEW QUESTION # 16
Which two filter modes can a Tableau associate use with dimension filters?
Answer: C,D
Explanation:
Dimension filters support Multiple Values (drop-down) and Wildcard Match, making A and C correct.
Dimensions typically contain categorical values. When a dimension filter is displayed as an interactive filter card, Tableau provides several categorical selection modes. Multiple Values (drop-down) presents dimension members in a compact drop-down control where the viewer can select multiple categories simultaneously.
This is useful when a field contains several discrete members but screen space needs to be conserved.
Wildcard Match provides a text input field that dynamically selects dimension members whose text matches a supplied character pattern. Tableau supports the asterisk as a wildcard. For example, entering tab* can match values beginning with "tab." This mode is appropriate for searchable text-based categorical dimensions. By contrast, Range of Values is associated primarily with continuous quantitative filters, where users specify minimum and maximum values. At most is likewise an open-ended quantitative/date filtering mode used to establish an upper boundary rather than a categorical dimension-selection mode. Tableau's official filtering documentation explicitly lists Multiple Values (Dropdown) and Wildcard Match among the available filter card modes for dimensions. It separately describes quantitative range and open-ended filtering behavior for measures and continuous fields.
NEW QUESTION # 17
Which type of date filter can a Tableau associate use to choose a range of dates based on TODAY()?
Answer: D
Explanation:
A Relative dates filter is designed for date ranges that dynamically change relative to the current date, making B correct. This filter can represent periods such as the current week, previous month, year to date, or the last specified number of days, weeks, months, quarters, or years. The important distinction is that a relative date filter is dynamic. As the current date advances, Tableau recalculates the applicable range when the view is opened or refreshed. This behavior is appropriate for requirements based conceptually on TODAY() because the filter should continue tracking the present period rather than retaining fixed start and end dates. A Range of dates filter establishes a specific date interval and is better suited to fixed boundaries. A Starting Date or Ending Date represents an open-ended boundary from a particular date rather than a dynamically shifting interval relative to today. Tableau's official documentation states that relative date filters dynamically update to display a time period relative to when the view is opened. Examples include the current week, year to date, or past ten days. This functionality allows analysts to create dashboards that consistently display the most recent period without manually editing the filter as calendar time progresses. Relevant topics include date fields, relative date filtering, dynamic analysis, and interactive filter configuration.
NEW QUESTION # 18
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