Some Best Features of Salesforce Analytics-101 Exam Questions

In addition to the Salesforce Analytics-101 PDF dumps, we also offer Salesforce Certified Tableau Desktop Foundations practice exam software. You will find the same ambiance and atmosphere when you attempt the real Salesforce Certified Tableau Desktop Foundations exam. It will make you practice nicely and productively as you will experience better handling of the Salesforce Analytics-101 Questions when you take the actual Salesforce Analytics-101 exam to grab the Salesforce Analytics-101 certification.

Salesforce Analytics-101 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Understanding Tableau Concepts15%- Dimensions vs measures
- Visualization best practices
- Workbook, worksheet, and dashboard structure
- Data types and roles
Topic 2: Connecting to and Preparing Data23%- Connect to various data sources
- Manage data fields and hierarchies
- Join and union data
- Data cleaning and transformation
Topic 3: Sharing Insights25%- Publish and share workbooks
- Export and publish visualizations
- Set permissions and access
- Ensure accessibility and clarity
Topic 4: Exploring and Analyzing Data37%- Create interactive dashboards and stories
- Apply calculations and aggregations
- Use filters, parameters, and sets
- Create and customize visualizations
- Sort, group, and summarize data

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Salesforce Certified Tableau Desktop Foundations Sample Questions (Q19-Q24):

NEW QUESTION # 19
From which three locations can a Tableau associate sort a visualization?
Choose three options.

Answer: A,E,F

Explanation:
Tableau provides direct single-click sorting controls from a header, an axis, and a field label, making A, C, and D correct. Tableau's official Sort Data in a Visualization documentation explicitly identifies these three locations. When the user hovers over an appropriate header, numerical axis, or field label, Tableau can display a sort icon. One click typically applies descending sorting, a second click changes it to ascending, and another interaction can clear the sort depending on context. A header is commonly generated by a discrete field and can expose sorting for its members. A numerical axis allows the associated categorical members to be sorted according to measure values. A field label can similarly provide direct sorting when applicable to the view's structure. The Tooltip area of the Marks card controls information displayed when the pointer hovers over a mark; it is not a sorting interface. The Worksheet and Analysis menus contain numerous authoring commands but are not the three direct locations identified by Tableau's single-click sorting workflow in this question.
Official Tableau documentation specifically states: "Quickly sort from an axis, header, or field label," precisely matching A, C, and D.


NEW QUESTION # 20
Which two filter modes can a Tableau associate use with dimension filters?

Answer: B,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 # 21
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 # 22
A Tableau associate is creating a combined axis chart.
Where should the associate drag the second measure after dragging the first measure to the Rows shelf?

Answer: B

Explanation:
Because the first measure is on the Rows shelf, Tableau creates a vertical quantitative axis in the visualization. To construct a combined axis, the associate should drag the second measure directly onto that existing vertical axis, making B correct. A combined axis allows multiple measures to share the same axis instead of displaying them in separate panes or on independent dual axes. When the second measure is dragged onto the existing axis and Tableau displays the appropriate drop indicator, Tableau creates a shared Measure Values-based view containing both measures. The orientation matters. Fields on Rows normally produce a vertical y-axis, whereas fields on Columns normally generate a horizontal x-axis. Consequently, because the first measure was specifically placed on Rows, the target is the vertical axis rather than the horizontal axis. Dropping the second measure on the Marks card would encode that field through a mark property rather than create a combined quantitative axis. Dropping it on Filters would restrict records or values and would not combine the measures. This mechanism should also be distinguished from a dual-axis chart, where two independent axes are layered. A combined axis instead places multiple measures on a shared axis and commonly uses Measure Names and Measure Values for differentiation.


NEW QUESTION # 23
A Tableau associate needs to share a workbook with a user who does NOT have access to the underlying data.
The user must be able to modify existing visualizations.
What should the associate do?

Answer: C

Explanation:
The associate should save the workbook as a Tableau Packaged Workbook (.twbx). A packaged workbook can contain the workbook itself together with copies of supported local data sources, Tableau extracts, background images, and other workbook resources. This directly addresses the scenario because the recipient does not have access to the original underlying data. When appropriate data is packaged with the workbook, the recipient can open the workbook in Tableau Desktop and interact with or modify its existing worksheets and visualizations without requiring the author's original file paths. A .twb file contains the workbook definition but normally references external data rather than packaging the required local resources. Therefore, it would not reliably solve the access problem. Creating a .hyper file alone provides an extract but does not contain the complete Tableau workbook, including worksheets, dashboards, calculations, formatting, parameters, and visualization definitions. Exporting views produces presentation-oriented outputs and does not satisfy the requirement to modify the existing Tableau visualizations. Tableau specifically recommends packaged workbooks when sharing with someone who does not have access to referenced resources or the original environment.


NEW QUESTION # 24
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