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C_BW4HANA_27 · Question #34

You need to defne an SAP HANA calculation view watt numbers that represent codes instead Of aggregated values Which Settings should you choose? (1)

The correct answer is A. Choose the DIMENSION data category and use the numbers as attributes. Option A is correct because when numbers represent codes (e.g., country codes, status codes), they are descriptive identifiers - not values to be summed or aggregated - making the DIMENSION data category the right choice, and those numbers should be defined as attributes…

SAP HANA Modeling for BW/4HANA

Question

You need to defne an SAP HANA calculation view watt numbers that represent codes instead Of aggregated values Which Settings should you choose? (1)

Options

  • AChoose the DIMENSION data category and use the numbers as attributes
  • BChoose the DIMENSION data category and use the numbers as measures
  • CChoose the CUBE data category and use the numbers as measures
  • DChoose the CUBE data category and use the number as attributes

How the community answered

(59 responses)
  • A
    93% (55)
  • B
    2% (1)
  • C
    2% (1)
  • D
    3% (2)

Explanation

Option A is correct because when numbers represent codes (e.g., country codes, status codes), they are descriptive identifiers - not values to be summed or aggregated - making the DIMENSION data category the right choice, and those numbers should be defined as attributes (descriptive characteristics), not measures.

Option B is wrong because even though DIMENSION is correct, measures imply aggregation (sum, count, average), which is meaningless for a code like "001" or "42" used as an identifier.

Options C and D are both wrong because the CUBE data category is designed for fact/transactional data that requires aggregation - it is the wrong category for master/reference data like codes, regardless of whether you use measures or attributes.

Memory tip: Think "DIMENSION = Descriptive" - codes describe something, so they belong in a DIMENSION view as attributes. CUBE is for Calculated/aggregated numbers you actually do math on.

Topics

#calculation view#DIMENSION category#attributes vs measures#data category

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