Answer-first summary for fast verification
Answer: No
The solution does NOT meet the goal because the Join Data module is designed for database-style joins that require matching key columns and performs row matching operations. The requirement is to append all rows from both datasets while maintaining the same column structure, which is exactly what the Add Rows module is designed for. The community discussion strongly supports this with 80% selecting 'No' (B), and multiple comments explain that Join Data requires key column selection and matching rows, while Add Rows simply appends data without requiring matching criteria. Even using Full Outer Join in Join Data would not properly handle the append operation as it would include missing values for non-matching rows.
Author: LeetQuiz Editorial Team
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You use Azure Machine Learning designer with two datasets, Dataset1 and Dataset2. You need to create a new dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets.
Solution: Use the Join Data module.
Does the solution meet the goal?
A
Yes
B
No
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