In the Kafka integration, which columns are used to store the data payload and metadata for each topic's records?

• A. RECORD_CONTENT and RECORD_METADATA
• B. RECORD_DATA and RECORD_META
• C. DATA_CONTENT and META_CONTENT
• D. RECORD_VALUE and RECORD_TYPE

Answer: (A)

The data payload and its provenance are stored in two distinct fields. RECORD_CONTENT holds the actual record data that flows from Kafka—the payload you care to process—while RECORD_METADATA keeps the record’s contextual information, such as topic, partition, offset, and timestamp (and any headers). This clear separation lets you work with the payload directly when needed, while still retaining the metadata necessary for ordering, deduplication, auditing, and processing decisions. The other name options don’t reflect the standard columns used by the Kafka integration to represent the payload and its metadata.