When an RDC Import Error states there are an invalid number of cells in a row, what should be checked?

When facing an RDC Import Error that indicates there are an invalid number of cells in a row, the key factor to examine is the presence of extra column delimiters in the load file. This situation typically arises when there are unexpected or additional delimiters in the data that lead to a mismatch in the expected number of columns. If there are more delimiters than expected, the system interprets this as having an extra column, resulting in an error.

By removing any extra column delimiters, the data structure can be corrected to match the expected format. This helps ensure that each row has the appropriate number of columns, aligning with what the import process anticipates. Addressing delimiter issues is crucial for successful data importing, as it directly impacts how the rows and cells are organized and read by the system.

While reviewing the coding standards, ensuring that all required fields are filled, and verifying the data type of each cell are important steps in the data preparation process, they do not specifically address the issue of invalid cell counts due to extra delimiters. Therefore, focusing on the structure of the import file, particularly the delimiters, is the most relevant action to correct this specific error.