Which processes facilitate dynamic topology changes?

The correct choice is VizQL. This process is essential for handling user requests and generating visualizations dynamically. When users interact with a Tableau dashboard, the VizQL engine translates those user interactions into queries that are sent back to the data source. If the underlying data topology changes, such as when new data is added or the schema is modified, VizQL can adapt to these changes in real time.

This capability is crucial in environments where data is fluid, allowing for dynamic updates to visualizations without the need for manual refreshes or reconfigurations. This means that users can see the most current information and insights based on the latest data state almost instantaneously.

In terms of context, the other processes mentioned do not primarily focus on enabling dynamic changes to the user interaction flow. For instance, the Administration Agent is responsible for managing server resources and user sessions but does not directly handle dynamic data visualization changes. The Cluster Controller is involved in managing the communication within a cluster of Tableau server nodes, while the Metrics Service tracks performance metrics and usage statistics. These aspects contribute to overall server management and health but do not directly address how visualizations adapt to changing data dynamically.