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…
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)- A9% (2)
- B78% (18)
- C4% (1)
- D9% (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.
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