True/False: Reading from an archive file format requires always merging a single feature type.

True/False: Reading from an archive file format requires always merging a single feature type.

• A. True
• B. False
• C. Depends on the format
• D. Not specified

Answer: (B)

An archive is a container that can hold multiple datasets, potentially with different feature types. When you read from an archive, you don’t have to merge everything into one feature type—the archive reader can expose several feature types, one for each contained dataset, which you can process separately. You’d merge into a single feature type only if you intentionally want a unified schema, but that isn’t a requirement of reading from an archive.

An archive is a container that can hold multiple datasets, potentially with different feature types. When you read from an archive, you don’t have to merge everything into one feature type—the archive reader can expose several feature types, one for each contained dataset, which you can process separately. You’d merge into a single feature type only if you intentionally want a unified schema, but that isn’t a requirement of reading from an archive.