Which of the following database design requirements is MOST likely a reason to implement a flat file?

Flat files typically offer less data type flexibility compared to relational databases, often relying on consistent, predefined field structures.

Flat files are generally not scalable for large or complex datasets, as performance degrades significantly with increased data volume and complexity.

Flat files are chosen for their simplicity in managing small, non-relational datasets because they have a straightforward structure, often requiring minimal setup or complex database management systems.

Search speed in flat files is often slow for large datasets because they typically lack indexes, requiring sequential scanning to find specific information.