What is the primary goal of data reconciliation in a CDX environment?

• A. Compare source and target datasets, identify discrepancies, correct data issues, and document exceptions with audit trails.
• B. Back up all data to a separate storage and verify integrity afterward.
• C. Generate a data dictionary documenting field names.
• D. Schedule automated reports to show reconciliation status.

Answer: (A)

Data reconciliation in a CDX environment centers on making sure data stays consistent as it moves between systems. The main goal is to compare source and target datasets, spot discrepancies, fix data issues, and document those exceptions with an audit trail that shows what was found, what was changed, and why. This record-keeping is essential for traceability and compliance, so you can demonstrate exactly how data was reconciled. Other activities like backing up data, creating a data dictionary, or just generating status reports address related needs but don’t fulfill the core task of verifying and aligning the actual data values across systems.