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What do you mean by Suspect Items?

  1. Incoming Data

  2. Golden copy data

  3. intermediate data

  4. Non-conformant data
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D Correct answer
Explanation

Suspect Items in data quality contexts refer to data that fails validation rules or doesn't conform to expected standards - hence 'Non-conformant data'. This distinguishes them from valid incoming data, golden copies (validated reference data), or intermediate processing data.

AI explanation

In data quality/ETL and data warehousing contexts (e.g., master data management, reconciliation processes), 'suspect items' or 'suspect records' refer to non-conformant data — records that fail validation rules, don't match expected formats, or can't be confidently matched/loaded, and are therefore held back for review rather than processed automatically. This is why 'Non-conformant data' is correct. 'Incoming Data' is too generic (all data is incoming at some point). 'Golden copy data' is the opposite concept — it's the trusted, validated master record. 'Intermediate data' describes staging-area data in general, not specifically flagged/rejected records.

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