Question 293 of 510

Reporting, SLA and Imports →hardMultiple ChoiceObjective-mapped

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 large import set of 10,000 user records from an HR system is failing intermittently during transformation to the sys_user table. Some rows are inserted successfully, but others show errors in the import log: 'Transform script error: null reference at line 15 of the transform map script.' The administrator reviews the transform map and finds a script that sets the department field by looking up a department table. The script assumes the department code always exists in the department table, but some records have codes that are not present. The administrator needs to ensure all rows are imported reliably, even if some data is missing. What is the best course of action?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Clue: "always"
Why it matters: Absolute qualifier. An answer using 'always' is only correct if there are genuinely no exceptions — absolute statements are often wrong in networking.

Question 1hardmultiple choice

Full question →

A
Use a 'Run as GlideRecord' operation in the transform map to ensure each row is processed individually.
Why wrong: 'Run as GlideRecord' is a database operation, not a transform map feature; it does not exist.
B
Create a separate import set for each user record to isolate failures.
Why wrong: This is impractical and does not address the underlying data issue.
C
Fix the transform script to check for the existence of the department code before using it, and set a default value or skip the field if not found. Then use an Import Set Row condition to only process rows that are valid.
This addresses the root cause by handling missing data in the script, and the row condition ensures only rows with sufficient data are transformed.
D
Add a condition to skip rows that have null values in the department field.
Why wrong: Skipping rows with null department would still not fix the null reference error if the department code is present but not found; the error occurs during lookup.

Full breakdown with real-world context →

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

✓

Fix the transform script to check for the existence of the department code before using it, and set a default value or skip the field if not found. Then use an Import Set Row condition to only process rows that are valid.

Option C is correct because it directly addresses the root cause: the transform script fails when a department code is missing from the reference table. By adding a null check before using the lookup result and providing a default or skipping the field, the script becomes resilient to missing data. Using an Import Set Row condition then ensures that only rows with valid department codes are processed, preventing the intermittent null reference errors while still importing all other rows successfully.

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.

✗
Use a 'Run as GlideRecord' operation in the transform map to ensure each row is processed individually.
Why it's wrong here
'Run as GlideRecord' is a database operation, not a transform map feature; it does not exist.
✗
Create a separate import set for each user record to isolate failures.
Why it's wrong here
This is impractical and does not address the underlying data issue.
✓
Fix the transform script to check for the existence of the department code before using it, and set a default value or skip the field if not found. Then use an Import Set Row condition to only process rows that are valid.
Why this is correct
This addresses the root cause by handling missing data in the script, and the row condition ensures only rows with sufficient data are transformed.
Clue confirmation
The clue words "best", "always" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Add a condition to skip rows that have null values in the department field.
Why it's wrong here
Skipping rows with null department would still not fix the null reference error if the department code is present but not found; the error occurs during lookup.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose to skip rows with null values (Option D) instead of handling the missing data gracefully, failing to recognize that the requirement is to import all rows reliably, not just those with complete data.

Detailed technical explanation

How to think about this question

Under the hood, ServiceNow transform scripts execute in a GlideRecord context where a failed lookup (e.g., using get() on a GlideRecord) returns null, and attempting to access a field on null causes a 'null reference' error. The fix involves checking the GlideRecord object for hasNext() or using gs.nil() before accessing fields. In real-world HR imports, department codes may be legacy or from a different system, so defensive coding with try-catch or conditional logic is essential for robust ETL processes.

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.

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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: Fix the transform script to check for the existence of the department code before using it, and set a default value or skip the field if not found. Then use an Import Set Row condition to only process rows that are valid. — Option C is correct because it directly addresses the root cause: the transform script fails when a department code is missing from the reference table. By adding a null check before using the lookup result and providing a default or skipping the field, the script becomes resilient to missing data. Using an Import Set Row condition then ensures that only rows with valid department codes are processed, preventing the intermittent null reference errors while still importing all other rows successfully.

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: "best", "always". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 24, 2026

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