When reading multiple input datasets and using the SchemaScanner with default settings to supply a single schema to a dynamic writer, which statement best describes the writer's output?

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Multiple Choice

When reading multiple input datasets and using the SchemaScanner with default settings to supply a single schema to a dynamic writer, which statement best describes the writer's output?

Explanation:
When you read multiple input datasets and use the SchemaScanner with default settings to supply a single schema to a dynamic writer, the writer uses a single, unified feature type that covers all attributes seen across the inputs. This means every attribute that appears in any of the source datasets becomes part of the writer’s schema. For features that come from a dataset missing some of these attributes, those fields will simply be null or empty in the output. The result is a single output schema that includes all attributes present across the source datasets, rather than only the attributes common to all inputs or limited to the first input’s attributes.

When you read multiple input datasets and use the SchemaScanner with default settings to supply a single schema to a dynamic writer, the writer uses a single, unified feature type that covers all attributes seen across the inputs. This means every attribute that appears in any of the source datasets becomes part of the writer’s schema. For features that come from a dataset missing some of these attributes, those fields will simply be null or empty in the output. The result is a single output schema that includes all attributes present across the source datasets, rather than only the attributes common to all inputs or limited to the first input’s attributes.

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