In a CDX data pipeline, which stage is responsible for ensuring incoming data conforms to the schema and business rules?

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Multiple Choice

In a CDX data pipeline, which stage is responsible for ensuring incoming data conforms to the schema and business rules?

Explanation:
Validation checks incoming data against the defined schema and business rules. It verifies that records have the required fields, the data types are correct, and values satisfy constraints like allowed ranges or specific enums, including cross-field requirements. This early verification keeps bad data from progressing through the pipeline, ensuring downstream processing, analytics, and routing are reliable. Ingestion simply brings data into the system, routing decides the path after checks, and archiving stores data for long-term access. If validation fails, bad records are typically rejected or placed in quarantine with error details for remediation.

Validation checks incoming data against the defined schema and business rules. It verifies that records have the required fields, the data types are correct, and values satisfy constraints like allowed ranges or specific enums, including cross-field requirements. This early verification keeps bad data from progressing through the pipeline, ensuring downstream processing, analytics, and routing are reliable. Ingestion simply brings data into the system, routing decides the path after checks, and archiving stores data for long-term access. If validation fails, bad records are typically rejected or placed in quarantine with error details for remediation.

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