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A data engineer wants to reflector the following DLT code, which includes multiple definition with very similar code: In an attempt to programmatically create these tables using a parameterized table definition, the data engineer writes the following code. The pipeline runs an update with this refactored code, but generates a different DAG showing incorrect configuration values for tables. How can the data engineer fix this?
Correct Answer: A
The issue with the refactored code is that it tries to use string interpolation to dynamically create table names within the dlc.table decorator, which will not correctly interpret the table names. Instead, by using a dictionary with table names as keys and their configurations as values, the data engineer can iterate over the dictionary items and use the keys (table names) to properly configure the table settings. This way, the decorator can correctly recognize each table name, and the corresponding configuration settings can be applied appropriately.