Which component sequence describes a typical CDX data pipeline architecture from source to destination?

Which component sequence describes a typical CDX data pipeline architecture from source to destination?

• A. Source systems, ingestion/collection, validation, transformation/mapping, routing, storage, and consumption by downstream applications.
• B. Source systems only.
• C. Storage and archiving only.
• D. Visualization dashboards and reports only.

Answer: (C)

End-to-end data flow is what this item tests: data moves from source systems through a sequence of processing steps to reach the place where it will be used. In a typical CDX data pipeline, data is collected from source systems (ingestion/collection), checked for quality and structure (validation), transformed or mapped into the required formats (transformation/mapping), directed to the appropriate destinations (routing), stored for durability and access (storage), and finally made available to downstream applications or users (consumption). This full chain shows how data travels and is prepared before it can be consumed. So the best description is the one that lists this complete sequence from initial capture all the way to end-use. Describing only storage and archiving covers only a part of the journey; it omits the crucial steps that move and prepare data for use. Likewise, focusing solely on source systems or solely on dashboards misses the step-by-step flow from capture to consumption.

End-to-end data flow is what this item tests: data moves from source systems through a sequence of processing steps to reach the place where it will be used. In a typical CDX data pipeline, data is collected from source systems (ingestion/collection), checked for quality and structure (validation), transformed or mapped into the required formats (transformation/mapping), directed to the appropriate destinations (routing), stored for durability and access (storage), and finally made available to downstream applications or users (consumption). This full chain shows how data travels and is prepared before it can be consumed.

So the best description is the one that lists this complete sequence from initial capture all the way to end-use. Describing only storage and archiving covers only a part of the journey; it omits the crucial steps that move and prepare data for use. Likewise, focusing solely on source systems or solely on dashboards misses the step-by-step flow from capture to consumption.