Data 360 Consultant Data Ingestion And Modeling Practice Question
Which TWO considerations are critical when designing custom Data Model Objects (Dmos) to support large-scale segmentation in Data Cloud? (Choose TWO)
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
✓
Establish correct cardinality (e.g., 1-to-many) on all object relationships.
Designing DMOs for scale requires defining proper primary keys and indexing, as well as establishing correct relationship cardinalities to avoid Cartesian products during segmentation queries.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Store all attributes as text strings to prevent data type conversion errors.
Why it's wrong here
Storing everything as text ruins numerical and date-based segmentation filters.
- ✗
Write custom Apex triggers on the DMOs to optimize database indexing.
Why it's wrong here
Apex triggers cannot be written on DMOs.
- ✓
Establish correct cardinality (e.g., 1-to-many) on all object relationships.
Why this is correct
Correct cardinality ensures segmentation queries execute efficiently without performance degradation.
- ✓
Ensure every custom DMO has a properly defined primary key.
Why this is correct
Primary keys are mandatory for DMOs and critical for join performance in segmentation.
- ✗
Bypass the Cloud Information Model entirely by using raw DSOs for segmentation.
Why it's wrong here
Segmentation requires harmonized DMOs, not raw DSOs.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Salesforce exam blueprint
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