Databricks Data Analyst Practice Exam 2025 – The All-in-One Guide to Exam Success!

When using ARRAY functions in higher-order functions, one of the main outputs is the transformations applied to each element of an array. Higher-order functions, such as `TRANSFORM` or `FILTER`, operate on each element of an input array, allowing you to modify or filter the data according to specific criteria defined in a function.

For instance, if you use a higher-order function to apply a transformation to each element of an array, the result will be a new array where each element has been altered based on the logic specified in the transformation function. This capability is essential for data manipulation tasks, as it supports operations like mapping values to new forms, filtering based on conditions, or aggregating data in a customizable way.

This means that the focus on transformations highlights the utility of ARRAY functions within the context of data analysis, as they enable you to operate flexibly on collections of data, significantly enhancing the analysis process.