Question # 1
| You have a data source that contains data tor every city in the Unites States. The following is a sample of the data.
You need to use the City dimension to create a dynamic filter that snows the cities that have a population greater than one million Which type of filter should you use? | | A. General filter | | B. Wildcard filter | | C. Top filter | | D. Condition filter |
D. Condition filter
Explanation:
To use the City dimension to create a dynamic filter that shows the cities that have a population greater than one million, you should use a condition filter. A condition filter is a type of filter that shows only the values that meet a specified condition based on a measure or a calculation. You can create a condition filter by dragging a dimension to the Filters shelf and selecting Condition from the dialog box. Then you can enter a formula or choose an option that defines your condition.
In this case, you want to create a condition filter based on Population, which is a measure. You can drag City to the Filters shelf and select Condition from the dialog box. Then you can choose By field from the tab and select Population > Sum > Greater than > 1000000 from the drop-down lists. This will create a condition filter that shows only the cities that have a sum of population greater than one million.
The other options are not correct for this scenario. A general filter is not a specific type of filter, but a term that refers to any type of filter in Tableau. A wildcard filter is a type of filter that shows only the values that match a specified pattern or string, such as “New*” or “*ton”. A top filter is a type of filter that shows only the top or bottom N values of a measure or dimension based on a ranking or an aggregation.
References:
https://help.tableau.com/current/pro/desktop/en-us/filtering.htm https://help.tableau.com/current/pro/desktop/en-us/filtering_condition.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_wildcard.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_topn.htm
Question # 2
| You have a dashboard than contains two sheets named Sheet 1 and Sheet 2.
You want to add an object to the dashboard that users can click to switch to a different dashboard in the workbook.
Which object should you add to the dashboard? |
Explanation:
The object that you should add to the dashboard to allow users to switch to a different dashboard in the workbook is Navigation.
Navigation objects are used to create links between dashboards or sheets in a workbook. You can add a navigation object to a dashboard by dragging it from the list of objects and dropping it on the dashboard. You can then configure the navigation object to specify the destination dashboard or sheet that you want users to navigate to when they click on it.
You can learn more about navigation objects and how to use them in this article:
https://help.tableau.com/current/pro/desktop/en-us/dashboards_navigation.htm
Question # 3
You create a worksheet named Sales by Region and hide the tide of the worksheet. You print the worksheet as a PDF and notice that the worksheet title appears. You need to prevent the title from appearing when you print the worksheet as a PDF. Which settings should configure from the File menu in Tableau Desktop?
| | A. Page Setup | | B. Print | | C. Export As PowerPoint | | D. Share | | E. Export As Version |
A. Page Setup
Question # 4
You have two tables named Employeelnfo and DepartmentInfo. Employeelnfo contains four fields named Full Name, Department ID, Start Date, and Salary.
DepartmentInfo contains four fields named Department Name, Size, Department ID, and VP.
You want to combine the tables to meet the following requirements:
. Each record in Employeelnfo must be retained in the combined table.
. The records must contain the Department Name, Size, and VP fields.
· Every record must have a full name.
Which type of join should you use?
| | A. Inner | | B. Left | | C. Full outer | | D. Union |
B. Left
Explanation:
To combine the tables and meet the requirements, you should use a left join. A left join will keep all the records from the left table (Employeelnfo) and match them with the records from the right table (DepartmentInfo) based on the common field (Department ID). If there is no matching record in the right table, the fields from the right table will be null. This way, you will retain all the records from Employeelnfo, and also include the Department Name, Size, and VP fields from DepartmentInfo. Every record will have a full name because it is a field from the left table. A left join will look like this:
References:
Join Your Data - Tableau
Join Types in Tableau
Question # 5
| You have a dashboard that contains a parameter named Start Date.
You need to create an extract from a Microsoft Excel file. The extract must be filtered based on Start Date.
What should you do? | | A. Create a data source based on the Excel worksheet and create a calculated field based on Start Date. Add the calculated field to the extract filter. | | B. Create a custom SOL query to define the data source and create a calculated field based on Start Date. Add the calculated field to the extract filter. | | C. Create a custom SOL query that references Stan Date in the WHERE clause. | | D. Create a data source based on the Excel worksheet and create a calculated field based on Start Date. From the Data pane, add the calculated field to the data source filter |
A. Create a data source based on the Excel worksheet and create a calculated field based on Start Date. Add the calculated field to the extract filter.
Question # 6
| You have a Tableau workbook that contain three worksheets named Sheet1 Sheet2 and Sheet3.
You create several filters.
From the Data Source page you plan to add data source fillers
When type of filter will appear in the Edit Data Source Filters dialog box? | | A. A table calculation filter used on Sheet | | B. A top N condition filer on a dimension in Sheet 1 and Sheet2 | | C. A context filler on a dimension m Sheet3 | | D. A dimension filter on all the sheets |
D. A dimension filter on all the sheets
Explanation:
A data source filter is a filter that applies to all the worksheets that use the same data source. It filters the data before any other filters or calculations are applied. You can add a data source filter from the Data Source page by clicking on the Add button next to Filters.
The type of filter that will appear in the Edit Data Source Filters dialog box is a dimension filter on all the sheets. This means that you can choose a dimension from your data source and filter it by values, range, condition, or top/bottom. The filter will affect all the worksheets that use that dimension.
The other types of filters are not data source filters and will not appear in the Edit Data Source Filters dialog box. A table calculation filter is a filter that applies to a table calculation, such as percent of total or running total. A top N condition filter is a filter that shows only the top or bottom N values of a measure or dimension based on a condition. A context filter is a filter that creates a subset of data that other filters can use.
References:
https://help.tableau.com/current/pro/desktop/en-us/filtering_datasource.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_tablecalculations.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_topn.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_context.htm
Data source filters in Tableau apply to the entire data source, affecting all sheets that use that data source. The Edit Data Source Filters dialog box allows you to add filters that operate at the data source level, which is different from context filters, top N filters, or table calculation filters that are applied at the worksheet level.
Question # 7
| You are developing a data source in Tableau Prep.
You have two tables named Orders and Employees.
The Orders table was created in 2019 and contains the following columns.
The Employees table contains all the employee information for the various sales teams in the sales department and contains the following columns
You want to prepare the data so that you can analyze sales trends over time for every sales team.
Which three actions should you perform in order? (Place the three correct options in order. Use the arrows to move Options to Answer Area. Use Answer Area arrows to re-order the options.) |
Explanation:
There are different ways to prepare the data in Tableau Prep, but one possible answer is:
Answer area:
Join the tables.
Aggregate the data by Sales Team.
Add the following filter to the Employees table: Sale Team - Team Alpha.
To analyze sales trends over time for every sales team, you need to combine the data from the Orders and Employees tables. You can do this by joining the tables on the Rep ID column, which is a common identifier for both tables. This will create a single table with all the columns from both tables. Next, you need to aggregate the data by Sales Team, which is the level of analysis you want. You can do this by grouping the data by the Sales Team column and applying an aggregation function (such as sum, average, count, etc.) to the other columns that you want to measure (such as Total Amount, Rep Tenure, etc.). This will create a summary table with one row for each sales team and the aggregated values for the other columns. Finally, you need to filter the data to focus on a specific sales team, such as Team Alpha. You can do this by adding a filter to the Employees table and selecting only the rows where Sales Team equals Team Alpha. This will remove the rows for other sales teams and keep only the data for Team Alpha.
References: -
[Tableau Certified Data Analyst Exam Prep Guide], page 9, section “Preparing Data”
-
[Tableau Help: Join Your Data]
-
[Tableau Help: Aggregate Your Data]
-
[Tableau Help: Filter Your Data]
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