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You create the following worksheet
The Pick Measure parameter contains the following list of values
Users can select a value from Pick Measure to change the visualization to show either the Sales measure or the Profit measure.
Which formula is used in the Selected Measure calculated field lo switch between measures?
You have a workbook that uses an extracted data source.
You publish the workbook to Tableau Server.
Which three actions can you perform from the Extract Refresh page in Tableau Server? Choose three.
You are creating a new dashboard.
You need to add a button to the dashboard that allows users to export the dashboard as an image.
Which type of object should you use?
You have the Mowing two tables that contains data about the books in a library.
Both tables are incomplete so there are books missing from the tables.
You need to combine the tables. The solution must ensure that all the data is retained
Which type of join should you use?
To combine the two tables that contain data about books in a library and ensure that all the data is retained, you should use a full outer join. A full outer join is a type of join that returns all rows from both tables, regardless of whether there is a match or not. If there is no match, null values are filled in for the missing fields.
To perform a full outer join, you need to do the following steps:
Connect to both tables as your data sources in Tableau. You can use either live or extract connections.
Drag one table to the canvas and drop it on top of another table. This will create a join between them based on a common field.
Click on the join icon between the tables and select Full Outer Join from the drop-down list. This will change the join type to full outer join and show all rows from both tables.
Optionally, you can add or remove join clauses by clicking on Add or Remove buttons next to each clause. You can also change or rename fields by clicking on them.
The other types of joins are not correct for this scenario. An inner join returns only the rows that have a match in both tables, which will exclude any books that are missing from either table. A left join returns all rows from the left table and only the matching rows from the right table, which will exclude any books that are only in the right table. A right join returns all rows from the right table and only the matching rows from the left table, which will exclude any books that are only in the left table. Reference: https://help.tableau.com/current/pro/desktop/en-us/joining_tables.htm https://help.tableau.com/current/pro/desktop/en-us/join_types.htm
You have the following visualization.
The Last() calculation is set to compute using Table (across)
Which value will appear in the crosstab for the Consumer segment of the year 2018 if you change compute to use Oder Dale?
The value that will appear in the crosstab for the Consumer segment of the year 2018 if you change compute to use Order Date is 0. The Last() calculation is a table calculation that returns the number of rows from the current row to the last row in the partition. The partition is determined by how you compute the calculation. In this case, you change compute to use Order Date, which means that the calculation will be performed for each value of Order Date.
The crosstab shows that there are two values of Order Date for the Consumer segment of the year 2018: Q1 and Q4. The Last() calculation will return 0 for Q4, because it is the last row in the partition. It will return 1 for Q1, because it is one row away from the last row in the partition.
The other options are not correct for this scenario. The Last() calculation will not return 2, 3, or 4 for any value of Order Date, because there are only two values in each partition.
