C2090-930 · Question #53
You need to output only a list of field names, arranged in a single column, for a reporting function. You have already imported the data using a Database node and know it has 25,000 records. Which…
The correct answer is C. Database > Filter > Transpose > Table. Option C is correct because Transpose is the operation that rotates your data structure, turning column headers (field names) into row values - which is exactly how you produce a single-column list of field names. Placing Filter before Transpose is critical with 25,000 records…
Question
You need to output only a list of field names, arranged in a single column, for a reporting function. You have already imported the data using a Database node and know it has 25,000 records. Which node sequence would yield the desired output?
Options
- ADatabase > Filter > Transform > Table
- BDatabase > Transform > Filter > Table
- CDatabase > Filter > Transpose > Table
- DDatabase > Transpose > Filter > Table
How the community answered
(49 responses)- A4% (2)
- B4% (2)
- C84% (41)
- D8% (4)
Explanation
Option C is correct because Transpose is the operation that rotates your data structure, turning column headers (field names) into row values - which is exactly how you produce a single-column list of field names. Placing Filter before Transpose is critical with 25,000 records: you reduce the dataset down to just what's needed (e.g., a single row) before the rotation, keeping processing efficient.
Why the distractors fail:
- A & B both use Transform instead of Transpose. Transform modifies cell values or data types but does not pivot column headers into rows, so you'd never get field names as a standalone list.
- D (Transpose > Filter) transposes all 25,000 records first, creating a massive intermediate structure with 25,000 columns before filtering - wasteful and impractical.
Memory tip: Think "Filter then Flip." Always shrink your dataset with Filter before you Transpose (flip) it, so you're only rotating a tiny slice rather than thousands of rows. If you need column names as data, you need a Transpose, not a Transform.
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