Dynamic routing protocols change how networks behave under failure and growth, and CloudNetX scenarios often test whether you understand those behavioral shifts rather than protocol mechanics. This episode introduces dynamic routing as an automated exchange of reachability information that adapts to topology changes, enabling scalability and faster recovery at the cost of additional complexity. The first paragraph explains concepts such as neighbor relationships, metrics, convergence, and policy control in plain language, focusing on how they influence stability and predictability. It emphasizes that dynamic routing is not inherently “better,” but that it becomes necessary as networks grow, diversify, or require rapid adaptation to change.