What are the two types of DFS's?

The correct classification of DFS, or Data Flow Systems, into two types—major and minor—provides a clear and functional distinction based on the scale and impact of the data being managed or the complexity of the system. Major Data Flow Systems typically involve significant data transactions or critical processes that have a broader impact on operations, while Minor Data Flow Systems deal with less critical processes that may support the major systems without being central to them.

This classification helps in the management and prioritization of resources, ensuring that major systems receive the necessary attention and resources due to their higher stakes and complexity, whereas minor systems can be monitored and maintained with comparatively less oversight. Understanding this distinction is crucial for effective operations in contexts where data management and systems behaviors are integral.

Other classifications like those mentioned in the incorrect options fail to accurately reflect the established categories that specifically address the scale and impact associated with data systems. Major and Critical, for instance, introduces redundancy since critical often falls under the major category. Meanwhile, Minor and Standard or Emergency and Routine do not appropriately capture the broader operational implications that major and minor classifications denote.