The code block shown below contains an error. The code block is intended to return a new DataFrame that is the result of a position-wise union between DataFrame storesDF and DataFrame…

Question

Options

• AThere is no DataFrame.unionByName() operation - the concat() operation should be used instead
• BThere are no key columns specified - similar column names should be the second argument.
• CThe DataFrame.unionByName() operation does not union DataFrames based on column position
• DThe unionByName() operation is a standalone operation rather than a method of DataFrame - it
• EThere are no column positions specified - the desired column positions should be the second

• A
  5% (1)
• C
  90% (19)
• D
  5% (1)

Explanation

DataFrame.unionByName() matches columns from two DataFrames by name, not by position. If the goal is a position-wise union (combining rows based on column order regardless of column names), the correct method is DataFrame.union(). So storesDF.unionByName(acquiredStoresDF) is logically wrong for a positional union - it would either produce incorrect column alignment if column names differ or raise an error if schemas don't match by name. DataFrame.union() aligns columns by position, which is the intended behavior.

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