How do batch totals differ from hash totals as a processing control?

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Multiple Choice

How do batch totals differ from hash totals as a processing control?

Explanation:
Batch totals are used to verify that a batch has been processed completely by summing a numeric field (such as a total amount or a count of records) and comparing it to the expected value after processing. This helps catch missing records or incorrect processing within the batch. Hash totals, in contrast, are built from data elements that may not be part of the business value (often non-business or non-numeric fields) to create a fingerprint of the data. By comparing the hash total before and after processing, you can detect changes or tampering to the data as it moves through the system. They serve different purposes: batch totals confirm the completeness and numeric accuracy of the batch, while hash totals guard data integrity. So the correct idea is that batch totals sum fields for verification, whereas hash totals are about detecting data alterations, not simply confirming that every record was processed.

Batch totals are used to verify that a batch has been processed completely by summing a numeric field (such as a total amount or a count of records) and comparing it to the expected value after processing. This helps catch missing records or incorrect processing within the batch. Hash totals, in contrast, are built from data elements that may not be part of the business value (often non-business or non-numeric fields) to create a fingerprint of the data. By comparing the hash total before and after processing, you can detect changes or tampering to the data as it moves through the system. They serve different purposes: batch totals confirm the completeness and numeric accuracy of the batch, while hash totals guard data integrity.

So the correct idea is that batch totals sum fields for verification, whereas hash totals are about detecting data alterations, not simply confirming that every record was processed.

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