True or False: Avoiding large CDTs when capturing minimal data helps in reducing system overhead.

Avoiding large Composite Data Types (CDTs) when capturing minimal data is indeed true in the context of reducing system overhead. Large CDTs can introduce unnecessary complexity and can lead to higher memory usage and processing time. When CDTs are extensive and include many fields, they can consume more resources during execution, especially if not all fields are utilized in particular processes.

When working with minimal data, leveraging smaller, more succinct CDTs results in a more efficient data handling process. This efficiency reduces the amount of information that the system needs to process, thus lowering the system’s resource consumption and improving performance. Additionally, implementing smaller CDTs can lead to easier maintenance and a simpler application design, as developers have a clearer understanding of the data structures in use.

In summary, keeping CDTs lean when only minimal data is required directly contributes to optimizing system performance and resource management.