By default, the Generic Reader can handle datasets with different feature types.

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

By default, the Generic Reader can handle datasets with different feature types.

Explanation:
The key idea is that a reader in FME outputs features into a single feature type by default, and the Generic Reader doesn’t automatically split a dataset into multiple feature types. If a data source contains more than one feature type (for example, different layers or tables within the same file), you must configure separate feature types in the workspace or use separate readers for each type. Without that setup, the Generic Reader won’t automatically handle multiple feature types in one pass. So the statement is false.

The key idea is that a reader in FME outputs features into a single feature type by default, and the Generic Reader doesn’t automatically split a dataset into multiple feature types. If a data source contains more than one feature type (for example, different layers or tables within the same file), you must configure separate feature types in the workspace or use separate readers for each type. Without that setup, the Generic Reader won’t automatically handle multiple feature types in one pass. So the statement is false.

Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy