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A00-260 · Question #56

You want to create a table containing all customers from Italy. Assume that global customer order information is available in a single table. Identify the SAS Data Integration Studio transformation…

The correct answer is B. Extract. Extract is correct because it is specifically designed to pull a subset of rows (and optionally columns) from a source table based on filter conditions - exactly what you need to filter customers where country = 'Italy' from a global customer table. Why the distractors are…

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Question

You want to create a table containing all customers from Italy. Assume that global customer order information is available in a single table. Identify the SAS Data Integration Studio transformation that will help you perform the task easily.

Options

  • AAppend
  • BExtract
  • CLookup
  • DMining Results

How the community answered

(23 responses)
  • A
    9% (2)
  • B
    78% (18)
  • C
    4% (1)
  • D
    9% (2)

Explanation

Extract is correct because it is specifically designed to pull a subset of rows (and optionally columns) from a source table based on filter conditions - exactly what you need to filter customers where country = 'Italy' from a global customer table.

Why the distractors are wrong:

  • A. Append combines rows from multiple tables into one; it adds data together rather than filtering it down.
  • C. Lookup matches and enriches records by joining a source table against a reference/lookup table - it's for data enrichment, not subsetting.
  • D. Mining Results is used to process or publish results from SAS Enterprise Miner models - entirely unrelated to simple row filtering.

Memory tip: Think of Extract like a strainer - you pour in the whole dataset and only the rows matching your criteria pass through. Whenever a question asks you to isolate a subset of rows based on a condition, Extract is your answer.

Topics

#Extract transformation#Data filtering#Row subsetting#SAS DIS

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