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A00-260 · Question #33

The SAS Data Integration Studio SCD Type 2 Loader transformation performs which of the following?

The correct answer is C. Loads source table records into a dimension table. Option C is correct because the SCD (Slowly Changing Dimension) Type 2 Loader transformation in SAS Data Integration Studio is specifically designed to load source table records into a dimension table, maintaining historical changes by adding new rows with updated surrogate…

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Question

The SAS Data Integration Studio SCD Type 2 Loader transformation performs which of the following?

Options

  • ALoads source table records into a standardization table.
  • BLoads dimension table records into a fact table.
  • CLoads source table records into a dimension table.
  • DLoads fact table records into a multi-threaded table.

How the community answered

(67 responses)
  • A
    7% (5)
  • B
    4% (3)
  • C
    87% (58)
  • D
    1% (1)

Explanation

Option C is correct because the SCD (Slowly Changing Dimension) Type 2 Loader transformation in SAS Data Integration Studio is specifically designed to load source table records into a dimension table, maintaining historical changes by adding new rows with updated surrogate keys and effective date tracking rather than overwriting existing data.

  • A is wrong because "standardization table" is not a real SAS DI Studio destination for this transformation - standardization is a data quality concept, not an SCD target.
  • B is wrong because the SCD Type 2 Loader moves data into a dimension table, not from a dimension table into a fact table - that flow is handled by other ETL logic.
  • D is wrong because "multi-threaded table" is not a standard SAS DI Studio concept or target object for any loader transformation.

Memory tip: Think of the acronym SCD - "Source to Changing Dimension." The Type 2 Loader's whole job is preserving history in a dimension table by tracking how source records change over time, so the flow is always source → dimension.

Topics

#SCD Type 2#Dimension Tables#Slowly Changing Dimensions#Data Warehouse

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