Which transformer can you use to create a subset of data to use when prototyping?

• A. Generalizer
• B. SampleDataCreator
• C. Sampler
• D. Simplifier

Answer: (C)

Creating a smaller, representative subset of data for prototyping comes from using a sampler. The Sampler transformer passes only a portion of the input features downstream, based on a defined rate or count. This lets you quickly run and test your workflow on a manageable dataset, speeding up iteration and finding issues without processing the full dataset. You can often make the subset reproducible by setting a seed, so you get the same sample each time you prototype.

Generalizer and Simplifier change geometry detail rather than data volume, so they’re not about subsetting for prototyping. SampleDataCreator implies generating new data rather than selecting from what you already have.