What statements are true regarding the configuration of Data Flow Sequences?

The correct statement regarding the configuration of Data Flow Sequences indicates that sequences can indeed fork multiple flows to run in parallel. This characteristic is significant because it allows for the efficient execution of processes where different tasks can be performed simultaneously instead of sequentially. This parallel execution can lead to improved performance and reduced processing time, especially in scenarios where tasks are independent and do not require waiting for one another.

When sequences can fork multiple flows, it also enhances the overall flexibility and capability of data workflows, allowing developers to design complex data manipulations and transformations that can utilize the underlying hardware more effectively.

The other statements, while they may exhibit some degree of truth in different contexts or configurations, do not define the core functionality of sequences as effectively as the ability to fork flows for parallel execution. Additionally, modifications to order and item removal typically involve specific functionalities or interfaces that are not universally applicable across all sequence configurations. Hence, focusing on the parallel execution capability encapsulates an essential aspect of working with Data Flow Sequences.