- A
The transform map has a field mapping that references 'manager' as a target field, but the hr_employee table does not have a 'manager' column.
The transform map attempts to map to a non-existent field.
- B
The import set row table (sys_import_set_row) does not have a 'manager' column.
Why wrong: The import set row table contains the raw data; the error is during transform to the target table.
- C
The source CSV file contains a column named 'manager' that is misspelled.
Why wrong: The error says the field is not found in the target table, not the source.
- D
The manager field in the target table is of a different data type (e.g., string vs reference).
Why wrong: Data type mismatch would cause a different error (e.g., invalid data).
SNOW-CSA Reporting, SLA and Imports Practice Question
This SNOW-CSA practice question tests your understanding of reporting, sla and imports. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company frequently imports data from an external HR system into the Employee [hr_employee] table using an import set. The import set runs nightly and maps fields correctly. Recently, the import started failing with the error 'Field 'manager' not found in table 'hr_employee''. The manager field exists in the import set rows but not in the target table. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
The transform map has a field mapping that references 'manager' as a target field, but the hr_employee table does not have a 'manager' column.
The error 'Field 'manager' not found in table 'hr_employee'' indicates that the transform map is attempting to map a source field to a target column that does not exist in the hr_employee table. Since the import set rows contain the 'manager' field, the mapping in the transform map must be referencing 'manager' as a target field, but the target table lacks that column. This is the most likely cause because the transform map defines the field-to-field mapping between the import set row and the target table, and if the target field name is incorrect or missing from the table, the import will fail.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The transform map has a field mapping that references 'manager' as a target field, but the hr_employee table does not have a 'manager' column.
Why this is correct
The transform map attempts to map to a non-existent field.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The import set row table (sys_import_set_row) does not have a 'manager' column.
Why it's wrong here
The import set row table contains the raw data; the error is during transform to the target table.
- ✗
The source CSV file contains a column named 'manager' that is misspelled.
Why it's wrong here
The error says the field is not found in the target table, not the source.
- ✗
The manager field in the target table is of a different data type (e.g., string vs reference).
Why it's wrong here
Data type mismatch would cause a different error (e.g., invalid data).
Common exam traps
Common exam trap: answer the scenario, not the keyword
ServiceNow often tests the distinction between source-side errors (e.g., missing column in import set row or CSV) and target-side errors (e.g., missing column in the target table), and candidates may confuse the error message's reference to 'table' as the import set row table rather than the target table.
Detailed technical explanation
How to think about this question
Under the hood, ServiceNow transform maps use a 'Target field' column that must exactly match a column name in the target table. If the target table schema is modified (e.g., a column is removed or renamed) without updating the transform map, the import will fail with a 'field not found' error. This is a common issue when tables are updated via application scopes or patches that alter column definitions, and the transform map is not automatically synchronized.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the SNOW-CSA exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
Reporting, SLA and Imports — study guide chapter
Learn the concepts, then practise the questions
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Targeted practice on this topic area only
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FAQ
Questions learners often ask
What does this SNOW-CSA question test?
Reporting, SLA and Imports — This question tests Reporting, SLA and Imports — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The transform map has a field mapping that references 'manager' as a target field, but the hr_employee table does not have a 'manager' column. — The error 'Field 'manager' not found in table 'hr_employee'' indicates that the transform map is attempting to map a source field to a target column that does not exist in the hr_employee table. Since the import set rows contain the 'manager' field, the mapping in the transform map must be referencing 'manager' as a target field, but the target table lacks that column. This is the most likely cause because the transform map defines the field-to-field mapping between the import set row and the target table, and if the target field name is incorrect or missing from the table, the import will fail.
What should I do if I get this SNOW-CSA question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 30, 2026
This SNOW-CSA practice question is part of Courseiva's free ServiceNow certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SNOW-CSA exam.
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