The third format is a web-based practice exam that is compatible with Firefox, Microsoft Edge, Safari, and Google Chrome. So the students can access it from any browser and study for Salesforce Analytics-101 Exam clarification. In addition, Mac, iOS, Windows, Linux, and Android support the web-based Salesforce Analytics-101 practice questions.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Sharing Insights | 25% | - Set permissions and access - Export and publish visualizations - Publish and share workbooks - Ensure accessibility and clarity |
| Topic 2: Understanding Tableau Concepts | 15% | - Dimensions vs measures - Visualization best practices - Workbook, worksheet, and dashboard structure - Data types and roles |
| Topic 3: Connecting to and Preparing Data | 23% | - Join and union data - Manage data fields and hierarchies - Connect to various data sources - Data cleaning and transformation |
| Topic 4: Exploring and Analyzing Data | 37% | - Apply calculations and aggregations - Create interactive dashboards and stories - Sort, group, and summarize data - Create and customize visualizations - Use filters, parameters, and sets |
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NEW QUESTION # 10
A Tableau associate needs to change the color intensity of a quantitative range.
Which option should the associate use?
Answer: D
NEW QUESTION # 11
Which two types of fields appear blue?
Answer: B,C
Explanation:
In Tableau, blue identifies discrete fields, regardless of whether the field is classified as a dimension or a measure. Therefore, both Discrete dimensions and Discrete measures appear blue, making B and C correct.
Tableau separates two different field characteristics. The first is the semantic role: dimension or measure. The second is the behavioral classification: discrete or continuous. These concepts are related but not equivalent.
A discrete field contains distinct values and normally creates headers when added to Rows or Columns.
Tableau represents the pill in blue. Most dimensions are discrete by default, so blue dimensions are common.
Measures are generally continuous, but a measure can be converted to discrete; once it is discrete, its pill also becomes blue. Continuous fields appear green. Continuous dimensions-most commonly continuous date dimensions-and continuous measures therefore use green pills and typically create axes rather than headers.
Tableau's official Dimensions and Measures documentation explicitly presents four valid combinations:
discrete dimensions, continuous dimensions, discrete measures, and continuous measures. It shows discrete dimensions and discrete measures as blue, while both continuous forms are green. This distinction is foundational to predicting how Tableau will structure a visualization.
NEW QUESTION # 12
At a minimum, what does a Tableau associate need to create a simple scatter plot?
Answer: B
Explanation:
A basic scatter plot requires one measure on Columns and another measure on Rows, so D is correct. A scatter plot displays the relationship between two quantitative variables. One measure determines the horizontal position of each mark, while the second measure determines its vertical position. For example, placing SUM(Sales) on Columns and SUM(Profit) on Rows establishes a two-dimensional quantitative coordinate system. A dimension may then be added to Detail, Color, Shape, or another Marks property to create separate marks for entities such as customers, products, or states. However, that additional dimension is not the fundamental axis requirement identified by the question. The minimum structural requirement is two quantitative measures defining the x- and y-axes. A dimension plus a measure normally produces a categorical view such as a bar chart rather than a scatter plot. Two dimensions likewise do not supply the pair of quantitative scales required to analyze numerical correlation or distribution. Tableau's visual construction model distinguishes continuous quantitative measures, which generate axes, from discrete fields, which generally create headers. A scatter plot relies on two quantitative axes and therefore requires measures on both Rows and Columns. This is consistent with Tableau's standard scatter-plot construction methodology and its continuous-field behavior.
NEW QUESTION # 13
Which two filter modes can a Tableau associate use with dimension filters?
Answer: A,C
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 # 14
Which three elements are included in a packaged workbook (.twbx)?
Answer: A,C,E
Explanation:
A Tableau packaged workbook uses the .twbx format to bundle a workbook with supporting local resources needed to use it outside the author's original environment. The correct elements are background images, custom shapes, and extract files. Tableau explicitly lists background images, custom shapes, and Tableau extract files (.hyper) among the resources that can be incorporated into a packaged workbook. These supporting assets are bundled so that another user does not need access to the original local paths used by the workbook author. Other packageable resources include custom geocoding, local cube files, Excel files, Access files, and text-based local data sources. A PDF version of the workbook is not automatically generated and embedded inside a .twbx, making C incorrect. A Tableau Datasource Customization .tdc file is likewise not listed among the standard resources incorporated into a packaged workbook. A .twbx is therefore fundamentally a portable Tableau workbook package rather than simply a workbook definition. This distinction is important when distributing workbooks that depend on local resources. Official Tableau Desktop documentation lists background images, custom shapes, and Tableau extract files among the files included in packaged workbooks.
NEW QUESTION # 15
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