The web-based Salesforce Analytics-101 practice exam is compatible with all browsers like Chrome, Mozilla Firefox, MS Edge, Internet Explorer, Safari, Opera, and more. Unlike the desktop version, it requires an internet connection. The Salesforce Certified Tableau Desktop Foundations (Analytics-101) practice exam will ask real Salesforce Certified Tableau Desktop Foundations (Analytics-101) exam questions. Consistent practice with it relieves exam stress and boosts self-confidence. The web-based Salesforce Certified Tableau Desktop Foundations (Analytics-101) practice exam does not require additional software installation. All operating systems also support this Salesforce Certified Tableau Desktop Foundations (Analytics-101) practice test.
| Section | Weight | Objectives |
|---|---|---|
| Sharing Insights | 25% | - Create and modify a dashboard - View and share workbook data - Format view for presentation |
| Exploring and Analyzing Data | 37% | - Apply analytics to a worksheet - Organize data and apply filters - Create basic charts |
| Understanding Tableau Concepts | 15% | - Understand discrete and continuous fields - Understand aggregations - Understand dimensions and measures |
| Connecting to and Preparing Data | 23% | - Manage data properties - Create and manage the data model - Create live connections and extracts |
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NEW QUESTION # 12
Which two filter modes can a Tableau associate use with dimension filters?
Answer: A,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 # 13
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: A
NEW QUESTION # 14
What are three options to change the scope of a reference line?
Answer: B,C,D
Explanation:
Tableau provides three principal scope levels for reference lines: Entire Table, Per Pane, and Per Cell.
Therefore, A, B, and D are correct. Scope determines the partition of the visualization over which Tableau calculates and displays the reference line. Entire Table computes one reference value based on all applicable marks in the view. This is appropriate for a global benchmark such as overall average Sales. Per Pane creates a separate reference line for each pane. For example, if a visualization is partitioned by Region, Tableau can calculate an independent average for each regional pane. Per Cell is still more granular and can calculate a separate reference line for each cell defined by the row and column structure of the view. Maximum is not a scope; it is a possible statistical value or computation that can be used to determine the reference-line value.
Similarly, Fill Above concerns formatting or shading behavior associated with analytical reference objects and does not define the calculation scope. Official Tableau documentation explicitly states that the terms Table, Pane, and Cell define the scope for reference lines and related analytical objects. These options control whether the benchmark applies globally or independently to specific partitions of the visualization.
NEW QUESTION # 15
When using a data source that has relationships, how can a Tableau associate add a join between two or more tables?
Answer: A
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 # 16
Which two statements accurately describe relationships in Tableau Desktop?
Answer: A,B
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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