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Actual exam question for Tableau's TDA-C01 exam Question #: 103 Topic #: 1
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. References: https://help.tableau.com/current/pro/desktop/en-us/joining_tables.htm https://help.tableau.com/current/pro/desktop/en-us/join_types.htm When combining two datasets that are both incomplete and where it's important to retain all data from both sources, a full outer join is appropriate. This type of join ensures that all records from both tables are included in the combined dataset, even if there are no matching records in the other table.
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