Name typical data sources and connectors you can ingest into Fabric lakehouse.

• A. File-based sources in Blob/ADLS, relational databases, SaaS connectors (Salesforce, ServiceNow), ERP systems, and streaming sources; connectors include ODBC/JDBC, REST APIs, and built-in data connectors
• B. Only relational databases
• C. Only SaaS connectors
• D. Only file-based sources

Answer: (A)

The key idea is that Fabric lakehouse is designed to ingest data from a wide range of sources using multiple types of connectors. Typical data sources include file-based data stored in object storage like Blob or ADLS, relational databases, SaaS applications (such as Salesforce or ServiceNow), ERP systems, and streaming data sources. To connect to these sources, you can use ODBC or JDBC for database access, REST APIs for web services and SaaS apps, and built-in data connectors that cover common services. This broad mix reflects the platform’s ability to handle both batch and real-time ingestion from structured, semi-structured, and streaming data. The other options are too narrow, focusing only on one type of source, whereas the best choice captures the full range of sources and connectors Fabric supports.