What data formats are supported for bulk data import into DPAS 1020?

• A. CSV and Excel templates
• B. JSON files
• C. XML files
• D. PDF forms

Answer: (A)

Bulk data import into DPAS 1020 relies on structured, tabular templates. CSV and Excel templates provide a straightforward, table-based format with a header row that maps directly to the system’s data fields. Each row represents a single record and each column corresponds to a field, which makes bulk ingestion efficient and easy to validate. These formats are widely supported, easy to generate from existing data, and handle large datasets well, with clear error reporting when something doesn’t align with expected field definitions.

JSON and XML introduce hierarchical structures that require additional parsing and transformation to fit a flat row-and-column import, adding complexity to bulk loads. PDF forms, on the other hand, are human-facing and not suited to automated bulk data extraction, making them unreliable for large-scale imports. So the preferred option for bulk import is CSV and Excel templates because they are simple, compatible with DPAS’s data field mapping, and scalable for large datasets.