A daily consolidation reads two regional extracts into DataFrames. Both extracts carry the same four columns — order_id, order_date, amount, region — but the EU file delivers them in a different column order than the US file. The combined output must pair every column with its correct data regardless of the position in which each file lists it. How should the engineer stack the two DataFrames?
Reveal answer
Correct answer: eu.unionByName(us) — it pairs columns by name between the two DataFrames, so position differences cannot mismatch the data
Reference: https://docs.databricks.com/aws/en/pyspark/reference
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Official Answer (D): eu.unionByName(us) — it pairs columns by name between the two DataFrames, so position differences cannot mismatch the data
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