What does the DQL "summarize" function allow users to do?

The "summarize" function in Dynatrace Query Language (DQL) plays a crucial role in analyzing and aggregating data. It allows users to compile and consolidate data by calculating aggregated values such as count, sum, and average across specified dimensions. This functionality is particularly useful when users need to derive insights from large datasets, enabling them to understand patterns, trends, and metrics more effectively.

When utilizing the "summarize" function, users can specify which dimensions they want to analyze, such as by time, service, or host, and then apply the desired aggregation methods. This capability significantly enhances the user's ability to perform in-depth analysis, facilitating better decision-making based on data-driven insights.

Other options revolve around different aspects of data manipulation but do not align with the primary purpose of the "summarize" function. Transforming data formats for readability, filtering out data, or modifying existing fields represent different operations that are not covered by the summarization capabilities. Thus, the main focus of the "summarize" function is clearly centered on aggregation and summarization of metrics across dimensions.