Which statement about Eventstream is true?

• A. Eventstream supports using custom endpoints as a source, and supported protocols for it are Kafka, AMQP, and IoT Hub
• B. Eventstream can't forward data to another Evenstream using the derived stream destination if no transformations have been added to the Evenstream before it
• C. Supported Eventstream data destinations include Custom Endpoint, Lakehouse, Warehouse and Activator
• D. Eventstream data transformations include following transformations: Union, Group By, Manage Fields, Explode, Join, and Filter

Answer: (B)

In Eventstream, forwarding data from one stream to another through a derived stream destination relies on having a produced derived stream. A derived stream is created by applying transformations to the source stream, which defines the new, transformed data that can be routed onward. If no transformations are added, there’s no derived stream to forward, so the forward to another Eventstream isn’t possible. This makes the statement true because the presence of at least one transformation is what enables the derived stream and the subsequent data path.

The other options describe capabilities that don’t align with how derived streams and transformations are used to connect streams; they misstate sources, destinations, or transformation availability, so they aren’t correct representations of the system.