Data modeling occurs after which step when establishing the data model in the Data Cloud platform?

• A. Ingestion
• B. Segmentation
• C. Identity Resolution
• D. Activation

Answer: (A)

Data modeling is about organizing data into meaningful structures—defining entities, attributes, and relationships. You need concrete data to shape those definitions, understand field types, data quality, and how sources connect. In a Data Cloud workflow, data must be ingested from various sources first, so you have something to model. Once the data is ingested and the model is designed to reflect how that data actually exists across sources, you can apply identity resolution, create segments, and activate the data to downstream systems. Modeling before ingestion would be premature because there’s nothing to structure yet. Segmentation, identity resolution, and activation come after the data model is established and the data is available.