Which component is part of Oracle Fusion Data Intelligence's functional architecture?

• A. Data ingestion and transformation engine, processing raw data into meaningful insights through data flow, optimizing the data lifecycle.
• B. Data visualization layer for dashboards and reports.
• C. Security management service for user authentication.
• D. External data broker for third-party data feeds.

Answer: (A)

Data ingestion and transformation sit at the heart of Oracle Fusion Data Intelligence’s functional architecture. This component handles bringing in raw data from diverse sources, applying transformations to clean, normalize, and enrich it, and guiding the data through defined data flows that optimize the data lifecycle. It creates a reliable, analytics-ready foundation by ensuring data quality, lineage, and governance, so downstream analytics, AI, and reporting can produce meaningful insights consistently.

While visualization layers, security services, and external data sources exist in the ecosystem, they’re either presentation-facing (the UI for dashboards and reports), cross-cutting (authentication and policy enforcement), or situational (connecting to third-party feeds). They aren’t the core engine that processes and prepares data; the ingestion and transformation engine is.