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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring and Analyzing Data | 37% | - Apply analytics to a worksheet - Organize data and apply filters - Create basic charts |
| Topic 2: Understanding Tableau Concepts | 15% | - Understand aggregations - Understand dimensions and measures - Understand discrete and continuous fields |
| Topic 3: Connecting to and Preparing Data | 23% | - Manage data properties - Create live connections and extracts - Create and manage the data model |
| Topic 4: Sharing Insights | 25% | - Create and modify a dashboard - Format view for presentation - View and share workbook data |
>> Valid Salesforce Analytics-101 Test Review <<
This format of our Analytics-101 product is easiest to use due to its compatibility with web-browsers. This handy feature makes it your go-to online platform to evaluate your preparation. Conceptual and tough Analytics-101 questions will prompt on your screen which will test your true concepts. Salesforce Certification Exams Questions taken from past papers will also be given to give you a brief idea of the actual difficulty level of the Salesforce Certified Tableau Desktop Foundations (Analytics-101) exam. Its large question bank prepares you to ace your exam with ease and it will also help you to pinpoint your mistakes and weaknesses and work on them.
NEW QUESTION # 35
Which three statements accurately describe dimensions?
Answer: A,C,D
Explanation:
Dimensions are fields Tableau uses primarily to categorize, segment, and describe data. They typically contain qualitative information such as names, geographic locations, categories, dates, and identifiers.
Therefore, C is correct. Tableau also states that dimensions affect the level of detail in a visualization. Adding another dimension can partition existing marks into more granular groups because Tableau incorporates the field's members into the view's dimensional structure. Therefore, B is correct. The dimension/measure classification is independent from the discrete/continuous classification. Although dimensions are commonly discrete, a dimension can also be continuous. Date fields are a standard example: a date may be represented as a discrete date part or a continuous date value. Therefore, E is correct. Option D instead describes measures, which generally contain quantitative numeric values and are aggregated. Option A is not an inherent defining characteristic of dimensions; formatting behavior depends on how a field is used and whether it is discrete or continuous. Official Tableau guidance identifies dimensions as qualitative fields that group or segment data and explicitly states that dimensions affect the level of detail in the view.
NEW QUESTION # 36
Which aggregation is available without requiring a table calculation or calculated field?
Answer: D
Explanation:
Standard deviation is available as a native aggregation for a measure and does not require the author to create either a table calculation or a calculated field. Therefore, C is correct. When a measure is used in a Tableau view, its aggregation can be changed through the field menu. In addition to commonly used functions such as SUM, AVG, MIN, MAX, and COUNT, Tableau provides Standard Deviation and Standard Deviation (Population) as built-in aggregation choices. The calculation is performed directly over the records contributing to the current mark. Running Total and Percent of Total are different because they are table calculations. They operate on already aggregated values after Tableau has constructed the visualization and depend on the addressing and partitioning of the view. Sample covariance is supported through calculation functionality such as covariance functions but is not presented as the equivalent direct aggregation option in the basic measure aggregation menu represented by this question. Implementing covariance typically involves specifying the two expressions whose covariance is required. Tableau's official Data Aggregation documentation explicitly lists standard deviation among the aggregations available for measures, including sample and population forms. Consequently, it can be selected directly without constructing an additional calculated field or applying a quick table calculation.
NEW QUESTION # 37
A Tableau associate needs to display the complete list of potential data connections when connecting to a server.
Which action should the associate perform?
Answer: D
Explanation:
The associate should select More under To a Server, making D correct. Tableau Desktop organizes available connectors on the Connect pane into broad categories such as To a File and To a Server. Frequently used server connectors may be displayed directly, but Tableau provides the More option to expose the complete list of supported server-based connection types available in the installation. Official Tableau connector documentation repeatedly states: For a complete list of data connections, select More under To a Server. This workflow is used when locating database and server connectors such as Microsoft SQL Server, PostgreSQL, SharePoint Lists, and other supported platforms. Selecting More under To a File instead displays file-based connection types and therefore does not satisfy a requirement specifically involving server connections.
Choosing File > New creates a new workbook and does not expose the complete server connector list.
"Connecting to Data" is not the command required to reveal all server options. This distinction is operationally important because the Connect pane intentionally surfaces common connector choices while More exposes the broader connector catalog. Current Tableau documentation for multiple server connectors confirms the More under To a Server workflow for viewing the complete connection list.
NEW QUESTION # 38
A Tableau associate needs to access options to change a dimension's color palette.
In addition to the Marks card, what else can the associate use?
Answer: B
Explanation:
The associate can access the palette controls from the Color legend, making A correct. When a discrete dimension is placed on Color, Tableau generates a categorical color legend that identifies each dimension member and its assigned color. From the Color legend, the analyst can access Edit Colors, where a different palette can be selected and individual members can be assigned specific colors. This provides an alternative to opening the color configuration from the Marks card. The Format menu controls broader formatting characteristics such as fonts, borders, alignment, shading, and other presentation settings. Although newer Tableau versions include workbook-level palette functionality, the question concerns changing the palette associated with the dimension already encoded in the visualization, for which the Color legend is the direct alternative to the Marks card. Edit Caption modifies descriptive text associated with an object or field rather than its visual encoding. Edit in Shelf is also unrelated to palette management. Official Tableau documentation states that users can open the menu in the upper-right corner of a categorical color legend and select Edit Colors, after which they can choose or modify the palette assigned to the field's members.
NEW QUESTION # 39
Which two actions can a Tableau associate perform when joining tables from multiple connections?
Answer: A,D
Explanation:
A multi-connection data source created for a cross-database join can be filtered and can also be converted to or used with an extract, making A and C correct. Cross-database joins allow Tableau to combine tables originating from different supported connections into one logical data source. Tableau supports these joins with either live connections or in-memory extracts. Consequently, the associate can create an extract of the resulting multi-connection data source. Data source filters can also be used to reduce the records Tableau brings into the analytical environment, subject to connector-specific limitations. The other two choices conflict with documented multi-connection restrictions. Tableau explicitly states that stored procedures are not available for multi-connection data sources, eliminating B. A union appends rows from structurally similar tables. In a multi-connection environment, Tableau Desktop requires tables being unioned to come from the same connection; tables from different databases cannot be unioned directly in Tableau Desktop.
Therefore, D does not meet the scenario involving tables across multiple connections. Tableau's official cross- database documentation explains that a cross-database join requires a multi-connection data source, supports both live and extract-based operation, prohibits stored procedures for such sources, and limits unions to tables within the same connection.
NEW QUESTION # 40
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