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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Connecting to and Preparing Data | 23% | - Create live connections and extracts - Manage data properties - Create and manage the data model |
| Topic 2: Sharing Insights | 25% | - Format view for presentation - View and share workbook data - Create and modify a dashboard |
| Topic 3: Understanding Tableau Concepts | 15% | - Understand discrete and continuous fields - Understand aggregations - Understand dimensions and measures |
| Topic 4: Exploring and Analyzing Data | 37% | - Organize data and apply filters - Apply analytics to a worksheet - Create basic charts |
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NEW QUESTION # 34
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 # 35
Which two actions can a Tableau associate perform when joining tables from multiple connections?
Answer: A,B
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 # 36
What are two outcomes when a Tableau associate drags a continuous date value to the Rows shelf?
Answer: C,D
Explanation:
A continuous date field produces a green pill and generates an axis, making B and C correct. Tableau uses color as an immediate visual cue for discrete versus continuous fields. Green pills represent continuous fields, whereas blue pills represent discrete fields. A date can function in either form. When the analyst chooses a continuous date value such as continuous Month or continuous Year, Tableau represents the field as an unbroken temporal range rather than a finite collection of date-part headers. When this continuous date is placed on the Rows shelf, Tableau generates a continuous axis corresponding to the selected temporal granularity. The axis behaves similarly to other continuous quantitative axes in the sense that values occupy positions along an uninterrupted scale. Option A instead characterizes a discrete date part, such as discrete Month, where Tableau creates categorical headers or labels like January, February, and March. Option D is likewise associated with discrete fields because discrete pills are blue. Tableau's official Continuous Dates documentation states that continuous dates create an axis and that converting a date field to continuous causes the field to turn green. Tableau's general field-role documentation separately confirms that continuous fields create axes while discrete fields create headers.
NEW QUESTION # 37
What allows a Tableau associate to drill up or down in the level of detail (LOD)?
Answer: A
Explanation:
Hierarchies provide Tableau's native mechanism for drilling up and down through related levels of detail, making A correct. A hierarchy organizes dimensions into an ordered structure such as Region > State > City, Category > Sub-Category > Product, or a standard date hierarchy such as Year > Quarter > Month > Day.
When a hierarchy field is placed in a visualization, Tableau displays plus and minus controls that permit the analyst to expand to a more detailed level or collapse to a higher level. Drilling down adds another hierarchy level to the view, increasing the level of detail. Drilling up removes a lower level and returns the analysis to a more aggregated perspective. This functionality allows analysts to move through different analytical granularities without manually adding and removing each related field. Bins serve a different purpose: they partition continuous numeric values into intervals. Groups consolidate selected dimension members into broader categories. Sets identify subsets of data according to membership logic or user selections. None of those constructs inherently provides structured drill-up/drill-down navigation. Tableau's official hierarchy documentation explicitly states that hierarchies allow users to quickly drill up or down to add or subtract levels of detail and identifies the plus and minus icons as the controls used for this operation.
NEW QUESTION # 38
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: A,C
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 # 39
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