How To Fix CNV_DMC_SIN204 - Unexpected value &1 in the field Check for Same Classification

CNV_DMC_SIN204 - Overview

• Message type: E = Error

• Message class: CNV_DMC_SIN - Messages for s-innovations migration

• Message number: 204

• Message text: Unexpected value &1 in the field Check for Same Classification

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

CNV_DMC_SIN204 - Details

• The SAP error message CNV_DMC_SIN204 with the description "Unexpected value &1 in the field Check for Same Classification" typically occurs during data migration processes, particularly when using the SAP Data Migration Cockpit (DMC) or similar tools. This error indicates that the system encountered an unexpected value in a specific field that is supposed to check for the same classification of data.
  
  Cause:
  
  Data Inconsistency: The value in the field "Check for Same Classification" does not match the expected values defined in the system. This could be due to incorrect or inconsistent data in the source system.
  
  Configuration Issues: The classification settings in the target system may not be aligned with the source data, leading to mismatches.
  Mapping Errors: During the data migration process, the mapping of fields from the source to the target system may not have been set up correctly, resulting in unexpected values being processed.
  
  
  Solution:
  
  Check Source Data: Review the data in the