SNOW-CSA Reporting, SLA and Imports Practice Question
Which THREE factors can cause a transform to skip a row (resulting in 'Skipped' status in the import log)?
⚠ Common exam trap
A common mix-up: candidates confuse 'Skipped' with 'Error' or 'Warning' statuses, thinking that any field-level issue (like an empty optional field or read-only target) causes the entire row to be skipped, when in fact only specific conditions or scripts that return false, or a coalesce match with 'Insert only', trigger a skip.
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
✓
A field mapping script returns false.
A field mapping script that returns false explicitly tells the transform engine to skip the current row. When the script evaluates to false, the import engine does not process the row further, resulting in a 'Skipped' status in the import log. This is a deliberate mechanism to filter out rows based on custom logic.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
A field mapping script returns false.
Why this is correct
Returning false in a mapping script causes that row to be skipped.
- ✓
Coalesce matches an existing record and the transform action is 'Insert only'.
Why this is correct
If the action is 'Insert only' and a matching record exists, the row is skipped (not inserted).
- ✗
The source field is empty for an optional target field.
Why it's wrong here
An empty source field does not cause a skip; it results in null value being imported.
- ✗
The target field is read-only.
Why it's wrong here
A read-only target field will not be updated, but the row is still processed; it may cause a warning but not a skip.
- ✓
The transform condition evaluates to false.
Why this is correct
If the condition returns false, the row is skipped without processing.
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