Data 360 Consultant Data Ingestion And Modeling Practice Question
An enterprise has multiple data streams bringing in customer data from different legacy systems. Some systems use 'Customer_ID' while others use 'Cust_Num'. When mapping these to the Individual DMO, how should the consultant ensure proper harmonization?
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
✓
Map both 'Customer_ID' and 'Cust_Num' to the appropriate identifier attribute in the target Individual DMO.
Harmonization involves mapping disparate fields from different DSOs to the corresponding standard fields (or custom attributes) within the same target DMO so they can be recognized uniformly.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Merge the data streams into a single file in Amazon S3 before ingestion.
Why it's wrong here
Data streams are ingested independently; harmonization is handled during mapping.
- ✓
Map both 'Customer_ID' and 'Cust_Num' to the appropriate identifier attribute in the target Individual DMO.
Why this is correct
Different source fields can be mapped to the same target attribute in the DMO during the mapping stage.
- ✗
Use an Apex trigger to standardize source schema names during ingestion.
Why it's wrong here
Apex triggers are not used in Data Cloud data streams.
- ✗
Create a calculated insight to rename the fields prior to mapping.
Why it's wrong here
Calculated insights cannot rename fields before mapping.
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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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