In Fabric Real-Time Intelligence, where can ingested data reside for subsequent analysis?

• A. Data lake only
• B. On-premises data store
• C. Lakehouse or Eventhouse
• D. SQL data warehouse only

Answer: (C)

In Fabric Real-Time Intelligence, ingested data isn’t limited to a single storage type—you can land it in either a Lakehouse or an Eventhouse for analysis. A Lakehouse combines the scalability and breadth of a data lake with the structured query and governance features of a data warehouse, making it suitable for both raw and curated data used in analytics. An Eventhouse is tailored for streaming, low-latency event data, enabling real-time processing and immediate insights. This flexibility lets you choose the storage target that best fits your workflow: long-term analytics on diverse data in a lakehouse, or rapid real-time analysis on streaming data in an eventhouse. The other options are too narrow: a data lake alone doesn’t capture the combined analytics capabilities of a lakehouse, on-premises storage isn’t the cloud-native model for Fabric, and a SQL data warehouse only doesn’t cover the streaming/event use case.