Adobe Campaign Business Practitioner (CBP) Certification Practice Exam 2025 - Free CBP Practice Questions and Study Guide

The use of aggregate functions in a data query primarily focuses on summarizing data rather than detailing every single data point. An aggregate function, such as SUM, AVG, COUNT, or MAX, allows users to calculate a summary statistic from a set of data. This could involve calculating the average sales price, the total number of customers, or the maximum value in a dataset.

By performing these calculations, users receive concise and actionable insights rather than large volumes of raw data. This is particularly useful in scenarios where understanding trends or overall performance is necessary, as it provides a high-level view without delving into extensive datasets.

The other options imply outputs that focus on raw data or original details rather than summarization. A subset of original data would still contain detailed entries without aggregation, a new table structure would imply a complete reorganization of data rather than a summary, and raw data output refers to the original unaltered entries without aggregation or calculation. Hence, the result of using aggregate functions aligns most closely with generating a summary statistic.