Answer-first summary for fast verification
Answer: Yes
The solution meets the goal because the Execute Python Script module in Azure Machine Learning designer allows execution of custom Python code, which can read the input datasets, concatenate them using pandas (e.g., pd.concat()), and output a new dataset with all rows from both inputs while preserving the same columns and header row. Community discussion supports this, with the top-voted comments (e.g., 85% selecting 'A') emphasizing that Python scripts enable any operation, including concatenation. While some comments argue that the Add Rows module is simpler, the question specifically asks if the Execute Python Script solution works, not if it is optimal. Thus, 'A' is correct as it technically fulfills the requirement.
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 includes all rows from both input datasets and has the same columns and header row.
Solution: You use the Execute Python Script module.
Does this solution meet the goal?
A
Yes
B
No
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