If you want all features from a dataset to emerge from the FeatureReader in a single output stream, regardless of feature type, which Output Port option should you choose?

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Multiple Choice

If you want all features from a dataset to emerge from the FeatureReader in a single output stream, regardless of feature type, which Output Port option should you choose?

Explanation:
When a reader can produce multiple feature types, you control how those features are delivered downstream by choosing how the output is organized into streams. To have every feature from the dataset—regardless of its type—appear in a single continuous flow, you select the option that merges everything into one stream. This ensures there’s one unified output stream for downstream processing, which is ideal when a consumer expects a single, uninterrupted feature sequence. If you instead split by type, you’d get separate streams for points, polygons, and other feature types, which is not what you want in this case. The other options don’t explicitly guarantee unifying all feature types into one stream, making the single-stream option the correct, direct fit for the requirement.

When a reader can produce multiple feature types, you control how those features are delivered downstream by choosing how the output is organized into streams. To have every feature from the dataset—regardless of its type—appear in a single continuous flow, you select the option that merges everything into one stream. This ensures there’s one unified output stream for downstream processing, which is ideal when a consumer expects a single, uninterrupted feature sequence.

If you instead split by type, you’d get separate streams for points, polygons, and other feature types, which is not what you want in this case. The other options don’t explicitly guarantee unifying all feature types into one stream, making the single-stream option the correct, direct fit for the requirement.

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