What defines the data-retention strategy for custom metrics from user sessions in Dynatrace?

The choice that indicates the correct definition of the data-retention strategy for custom metrics from user sessions in Dynatrace focuses on how these metrics are managed over time. By aggregating metrics, Dynatrace enables a more efficient storage approach, allowing for a broader analysis of performance trends while optimizing storage usage. This aggregation is similar to how built-in metrics are handled, meaning they are collected and then processed to provide meaningful insights without retaining every individual data point indefinitely.

This strategy is beneficial because it balances the need for historical data analysis with the practical considerations of storage limits. It allows users to observe performance trends, identify issues over time, and make informed decisions based on aggregated data, all while maintaining a manageable database size.

The other options do not accurately describe the characteristic of custom metrics retention. For instance, stating that it is completely automated and unchangeable overlooks the flexibility that users have to manage their data. The option regarding real-time metrics without aggregation misrepresents how Dynatrace processes this data, while the suggestion of eliminating older data to free up space doesn’t capture the essence of the strategic aggregation process involved in the data retention approach.