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Which statement would result in CSV bulk import failures?

  1. The CSV file contains missing values for required fields

  2. The CSV file includes more than the allowed number of columns

  3. All data fields are filled correctly

  4. The CSV file is properly formatted

The correct answer is: The CSV file contains missing values for required fields

The statement that would result in CSV bulk import failures is the one about the CSV file containing missing values for required fields. In a CSV import process, each record must fulfill certain data integrity requirements, which typically include the presence of required fields that cannot be left blank. If any of these crucial fields are missing, the import validation checks will fail, causing the entire operation to be unsuccessful. Having properly filled data fields for all required attributes is essential for successful data import. If these fields are not completed, the application lacks the necessary information to proceed, leading to an import failure. In contrast, the other options describe scenarios that either reflect successful conditions or do not inherently lead to failure. Instances like having the correct number of columns or the CSV being properly formatted would typically support a successful import process, assuming all other criteria are met.