Which combination of capabilities is used to bring in additional content from Fusion Applications and extend the prebuilt subject area?

• A. DFF Mapper and PVO.
• B. OCI Vision and Data Flows.
• C. Data Augmentation with Semantic Model Extension.
• D. OTBI and Analytical Schedules.

Answer: (C)

Bringing in more content from Fusion Applications and making it usable in a prebuilt subject area is done by combining data augmentation with semantic model extension. Data augmentation means adding extra Fusion content—the additional attributes, facts, or related data you want to analyze—beyond what the prebuilt subject area originally includes. Semantic model extension is about expanding and refining the underlying semantic model of that subject area so the new data has proper context: new measures, attributes, hierarchies, and the relationships that tie the data together.

Using both together lets you pull in the additional Fusion data and expose it cleanly in your analytics layer. The semantic model extension ensures that the new data isn’t just present; it’s modeled correctly so you can create meaningful reports and analyses that combine native prebuilt content with the newly added content. Other capabilities listed don’t address the combined goal of enriching Fusion content and extending the semantic structure of the subject area in one cohesive approach.