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| Section | Weight | Objectives |
|---|---|---|
| Create Content | 26% | - Design visualizations
|
| Connect to and Transform Data | 24% | - Connect to various data sources
|
| Publish and Manage Content on Tableau Server and Tableau Cloud | 9% | - Manage and maintain content
|
| Explore and Analyze Data | 41% | - Create calculations and apply logic
|
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NEW QUESTION # 68
A Data Analyst has the following dataset that contains sales for the month of May.
The analyst plans to create a data extract from the dataset. The analyst wants to extract data only from stores that have $500 or more in total sales.
What should the analyst do?
Answer: A
Explanation:
The requirement is based on total sales by store, so the filter must operate on the Store Number dimension while evaluating an aggregated Sales condition. Tableau dimension filters provide a Condition tab that can retain dimension members according to an aggregate measure, for example SUM([Sales]) > = 500. Applying that logic as an extract filter ensures that only qualifying store members are included in the resulting extract.
Filtering the Sales measure by an "at least" row-level value would incorrectly evaluate individual records rather than each store's total. A Top filter ranks members and is intended for top or bottom N selection, not for a fixed minimum total. Therefore, the analyst should filter Store Number by a condition based on Sales, which corresponds to option B.
NEW QUESTION # 69
You have the following dataset in Microsoft Excel.
You are using Data interpreter to cleans the dataset. Data interpreter provides the following results.
How many rows of data will be ingested into Tableau as values?
Answer: C
Explanation:
Data interpreter is a feature that helps you clean and structure your data in Excel before importing it into Tableau. It detects and removes any headers, footers, subtotals, or other elements that are not part of the actual data. It also splits any merged cells and fills in any missing values. In this case, data interpreter provides the following results:
* It removes the first three rows and the last two rows that contain headers and footers.
* It splits the merged cells in column A and fills in the missing values with "Fiction" or "Non-Fiction".
* It does not remove or change any other rows or cells.
Therefore, the number of rows of data that will be ingested into Tableau as values is 17, which is the number of rows left after removing the headers and footers. References: https://help.tableau.com/current/pro/desktop
/en-us/importing_cleaning_up_data.htm https://help.tableau.com/current/pro/desktop/en-us
/importing_data_interpreter.htm
Based on the Data Interpreter's results and the provided Excel dataset screenshot, the number of rows of data that will be ingested into Tableau as values is 17. The Data Interpreter has identified and excluded headers and footers, and the rows with actual data are considered for analysis.
NEW QUESTION # 70
You have the following dataset.
You plan to create a dashboard that will be filtered to show only data that is relevant to a specific Tableau user based on the Tableau_User_Name field You need to create a boolean calculated field to place on the data source finer Which formula should you use for the filter?
Answer: A
Explanation:
To create a boolean calculated field to place on the data source filter, you should use the formula USERNAME() = [Tableau_user]. This formula will return TRUE if the current Tableau user name matches the value in the Tableau_user field, and FALSE otherwise. You can use this formula as a data source filter by dragging it to the Filters shelf and selecting TRUE from the menu. This will filter the data to show only the rows that are relevant to the specific Tableau user.
The other options are not correct for this scenario. NAME([Tableau_user]) is not a valid function in Tableau.
ISFULLNAME([Tableau_user]) = USERNAME() is not a valid expression in Tableau. 'S' + STR([Sales]
/1000) is not a boolean expression, but a string expression that converts sales to thousands with a prefix of
"S". References: https://help.tableau.com/current/pro/desktop/en-us/filtering_datasource.htm https://help.
tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#USERNAME https://help.tableau.
com/current/pro/desktop/en-us/calculations_calculatedfields.htm
In Tableau, the USERNAME() function returns the username of the user who is currently logged in. To create a filter that only shows data relevant to the logged-in Tableau user, a boolean calculated field can be created to compare the current username with the usernames listed in the Tableau_User_Name field of the dataset. Therefore, the correct formula for this filter is USERNAME() = [Tableau_USER_NAME], which will return true for rows where the Tableau_User_Name matches the current user's username.
NEW QUESTION # 71
A Data Analyst is creating a map that includes multiple data layers at country, state, and city levels. Users want to customize their map by turning layers on and off as needed.
How should the analyst provide this functionality?
Answer: B
Explanation:
Tableau ' s Layer Control is specifically designed for maps containing multiple geographic mark layers.
When enabled, it gives users an interactive panel from which individual map layers can be shown or hidden and interactions with particular layers can also be enabled or disabled. Tableau Desktop authors enable this feature through Map > Map Options > Layer Control before publishing the workbook. A parameter could theoretically drive custom calculations, but it is unnecessary because Tableau already supplies native layer- visibility controls. The Filter shelf filters underlying data values rather than directly controlling geographic mark-layer visibility. A dual-axis map is also unnecessary and is more limited than Tableau ' s current multi- layer mapping architecture. Therefore, C is the direct, officially supported method for allowing users to toggle map layers independently.
NEW QUESTION # 72
Which series of functions contains only string functions?
Answer: D
Explanation:
Option D is the only series whose functions can all operate as string-oriented functions in Tableau.
CONTAINS evaluates whether one string contains another substring, and LEN returns the number of characters in a string. MIN can also be applied to string values; for strings, Tableau returns the value that comes first according to the applicable alphabetical or database sort order. The other choices mix string functions with functions from different categories. CEILING is numeric and COUNT is an aggregate; FIRST and LAST are table-calculation functions; DATEADD and NOW are date functions. Although MIN is also documented as an aggregate or comparison function, Tableau's function reference explicitly supports string arguments for MIN. Therefore, MIN, CONTAINS, and LEN is the valid series.
NEW QUESTION # 73
......
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