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 functions like pd.concat(), and output a new dataset with all rows from both inputs while preserving the same columns and header row. The community discussion shows a strong consensus (85% for A) supporting this, with key comments noting that 'with the script we can perform any operation' and that pandas functions can handle the concatenation. While some comments suggest alternative modules like 'Add Rows' might be simpler, the question specifically asks if the Execute Python Script solution meets the goal, and it does technically fulfill 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: Use the Execute Python Script module.
Does the solution meet the goal?
A
Yes
B
No
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