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Working with DataeasyMultiple ChoiceObjective-mapped

SNOW-CAD Working with Data Practice Question

A company needs to import data from a CSV file into a custom table. The import should update existing records if a unique identifier matches, and insert new records if no match is found. Which feature should be configured on the transform map to achieve this?

⚠ Common exam trap

Many candidates confuse Coalesce with field mapping, thinking that mapping fields alone handles the upsert, but Coalesce is the specific mechanism that triggers the update vs. insert decision.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Coalesce

The Coalesce feature on a transform map determines which field(s) are used to match incoming records against existing records in the target table. When a match is found, the transform map updates the existing record; when no match is found, it inserts a new record. This directly enables the required upsert behavior.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Coalesce

    Why this is correct

    Coalesce is a transform map field property that determines whether the record is updated (if a match is found) or inserted.

  • Scheduled import

    Why it's wrong here

    Scheduled import is a job to run the import on a schedule, not a configuration for record matching.

  • Field mapping

    Why it's wrong here

    Field mapping only maps source fields to target fields, it does not control update vs insert behavior.

  • Data source

    Why it's wrong here

    The data source defines the source file and format, not the update/insert logic.

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