Which automation workflow best meets the customer's requirements for storing engagement data?

The correct choice focuses on an efficient method for extracting engagement data and processing it for storage. Specifically, the extract activity in this context is crucial because it allows the user to gather pertinent tracking extracts, consolidating data into the required file format. This method is streamlined and specifically designed for extracting engagement metrics, ensuring that the data is organized according to the needs of the customer.

After the extraction phase, the transfer activity then ensures that the consolidated data file is efficiently moved to the designated storage system, such as an FTP server or cloud storage. This two-step process is particularly effective for dealing with large data sets, as it focuses first on extraction and then on delivery, without unnecessary intermediate steps.

In contrast, other choices either introduce unnecessary complexities or do not directly align with the goal of efficiently storing engagement data. For instance, generating reports or relying extensively on queries may complicate the workflow without enhancing its effectiveness in data handling or storage. Thus, the selected option strikes a balance between simplicity and efficiency, making it the best fit for the customer's requirements.