In data mapping, which approach ensures mapping accuracy during integration testing?

• A. Ignore all data type differences to simplify mapping.
• B. Rely on manual checks without data samples.
• C. To verify mappings with test data, check field types, and ensure updates propagate.
• D. Only map the document title.

Answer: (C)

Verifying mappings with test data, checking field types, and ensuring updates propagate is essential for accuracy in integration testing. Using realistic test data helps reveal mismatches in formats, values, or transformation rules that static checks might miss, so you can see exactly how data flows from source to target. Verifying field types ensures that data is stored and interpreted correctly across systems, preventing issues like truncation, type mismatches, or invalid values after conversion. Ensuring updates propagate tests the entire end-to-end process: when a source value changes, the target must reflect the correct transformed value and downstream processes must stay in sync. This holistic approach catches both mapping logic and runtime data issues, giving confidence that the integration behaves correctly under real scenarios.