Not all workspaces need a source dataset.

Prepare for the FME Certified Professional Exam. Study with flashcards and multiple-choice questions; each question includes hints and explanations. Ensure your success!

Multiple Choice

Not all workspaces need a source dataset.

Explanation:
In FME, a workspace doesn’t have to start with an external dataset. You can design a workflow that generates its own features inside the workspace using a Creator transformer or other internal transformers, so it can produce output without a pre-existing source dataset. This is handy for testing transformers, creating synthetic data, or using the workspace as a template that will receive data later. Since you can generate data internally or operate on data provided at run time, the statement is true. The other choices mislead by implying a mandatory data upload or a universal dependency on a source dataset, which isn’t required when the workspace can create or receive data dynamically.

In FME, a workspace doesn’t have to start with an external dataset. You can design a workflow that generates its own features inside the workspace using a Creator transformer or other internal transformers, so it can produce output without a pre-existing source dataset. This is handy for testing transformers, creating synthetic data, or using the workspace as a template that will receive data later. Since you can generate data internally or operate on data provided at run time, the statement is true. The other choices mislead by implying a mandatory data upload or a universal dependency on a source dataset, which isn’t required when the workspace can create or receive data dynamically.

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