Workday Report Writer Practice Test

Validating a joined data source means making sure the two datasets are linked correctly and the merged results are what you expect. Start by checking that the join keys align: the fields used to connect the sources should exist in both datasets, have compatible data types, and actually match values. If the keys don’t align properly, the join will produce inaccurate links.

Next, run a sample of records through the join and inspect the results. Look for records that appear on one side without a proper match on the other, and watch for duplicates that shouldn’t occur, which can indicate an incorrect join type or data quality issues in the sources.

Finally, compare the joined output to known expectations—counts, totals, or representative values that you can verify manually. This helps confirm that the merge behaves as intended and that the data meets business rules.

This approach catches common problems such as mismatched key formats, null keys, or incorrect join semantics before you rely on the data in reports. Deleting duplicates without understanding the root cause can obscure the real issue, relying only on user feedback after distribution is reactive, and skipping validation altogether leaves the data open to errors in production.