What is the outcome of using a full outer join on two datasets?

Using a full outer join on two datasets results in combining all entries from both datasets, which includes both matched and unmatched rows. This means that if a row in one dataset does not have a corresponding match in the other dataset, it will still appear in the final result set, filled with null values for the columns from the dataset that did not have a match. This characteristic makes full outer joins particularly useful for analyzing relationships between two datasets where you want to retain all information, even if some entries do not match.

In contrast, the other options highlight different behaviors: only matched rows would be displayed in an inner join. Merging datasets without creating new rows might describe a union operation, but does not capture the essence of a full outer join. Lastly, removing duplicates entirely does not apply to a full outer join, as this operation includes all data and maintains all instances, regardless of whether they are duplicates or not.