Which of the following is a benefit of using DataWeave for data transformation?

Using DataWeave for data transformation offers efficient data mapping and transformation capabilities, which is a significant benefit for developers and organizations working on complex data integration tasks. DataWeave is designed to handle various data formats effectively, allowing for the seamless transformation of data between formats like JSON, XML, CSV, and more. This efficiency comes from its expressive syntax and built-in functions that enable quick and easy manipulation of data structures.

When working with DataWeave, users can achieve complex transformations with concise code, leading to clearer and more maintainable data transformation processes. The language is optimized for high performance, ensuring that transformations are processed quickly, which is particularly crucial in high-load environments.

In contrast, options that suggest increased application size or limited support for various data formats do not align with the purpose and benefits of DataWeave. Additionally, while DataWeave can contribute to reduced complexity in some scenarios, the primary benefit that stands out is its efficient mapping and transformation capabilities, which make it a preferred choice for data integration tasks within the MuleSoft ecosystem.