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 can result in duplicate columns or missing values when schemas don't align perfectly. The goal requires appending all rows from both datasets while maintaining the same columns and header structure, which is exactly what the Add Rows module is designed for. Community discussion strongly supports this with 80% selecting 'No' and multiple comments explaining that Add Rows is the correct module for this vertical concatenation/scenario, while Join Data would not produce the desired result even with Full Outer Join due to potential schema mismatches.
Author: LeetQuiz Editorial Team
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You are using Azure Machine Learning designer. You have 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.
You implement the following solution: Use the Join Data module.
Does this solution meet the goal?
A
Yes
B
No
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