CIS-DF Practice Question: An architect is designing an integration to ingest virtual machines from a custom cloud…
An architect is designing an integration to ingest virtual machines from a custom cloud provider into the CMDB using Robust Transform Engine (RTE). The payload contains nested objects representing datastores attached to each VM. How should the RTE be configured to handle these related child objects?
⚠ Common exam trap
CIS-DF often tests whether candidates know that RTE has a built-in Related Item Processor feature for nested objects, rather than assuming they must flatten JSON or write custom scripts — a common misconception among engineers familiar only with the legacy transform engine.
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
✓
Configure RTE Related Item Processors to define the relationship and map fields from the nested datastore object to the target relationship table.
RTE (Robust Transform Engine) handles nested JSON objects through Related Item Processors, which are configured on the Transform Map to define the relationship between the parent record and child records, and to map fields from the nested object to the target relationship table. This is the native RTE mechanism for parsing hierarchical payloads without pre-flattening.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set the coalesce field on the Transform Map to point to the datastore ID.
Why it's wrong here
Coalescing on the datastore ID applies to the datastore's own transform map, not the VM map; setting it there cannot create the related child datastore records from nested objects. It tempts because coalesce prevents duplicate CIs, which is correct for the parent VM record itself.
- ✗
Flatten the JSON payload in a Business Rule before it reaches the Import Set table.
Why it's wrong here
Flattening in a Business Rule runs after the import set is populated, so nested datastore objects are already lost or malformed before transformation; RTE handles related child records through a related transform map or onBefore script. It tempts because flattening simplifies payloads, which works for single-table imports without child relationships.
- ✓
Configure RTE Related Item Processors to define the relationship and map fields from the nested datastore object to the target relationship table.
Why this is correct
Related Item Processors are the RTE mechanism that parses nested child objects and writes them to relationship tables, mapping datastore fields to the target. Without them the nested datastores would be ignored or flattened, so this satisfies the requirement to ingest related child objects.
- ✗
Create two separate import set tables and link them using a standard GlideRecord script in a Transform Map.
Why it's wrong here
RTE handles nested child objects natively through related transform maps or child dataset definitions, so splitting into two import set tables and scripting GlideRecord links bypasses that mechanism and duplicates reconciliation logic. Two tables suit genuinely independent, unrelated feeds, not parent-child payloads sharing one source.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Security Systems Architect · founder of Courseiva
Last reviewed September 2026 · checked against the official ServiceNow exam blueprint
This CIS-DF 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 CIS-DF exam.