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Advanced BA data modeling: canonical models, lineage, MDM, event/payload design liaison, and governing change. Mix of single- and multiple-answer items.
Intermediate BA data modeling: normalization thinking, keys, states, master data, and linking models to processes. Mix of single- and multiple-answer items.
Conceptual data modeling for BAs: entities, attributes, relationships, and glossaries that support requirements. Mix of single- and multiple-answer items.
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