If verification fails, what is typically the next step?

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Multiple Choice

If verification fails, what is typically the next step?

Verification failures tell you that the data didn’t meet quality standards, so the next step is to identify the issues found during verification and re-cleanse or re-verify. You diagnose what failed (such as missing values, format errors, inconsistencies, or incorrect joins), fix the data accordingly, and run the checks again to confirm the data now passes. This loop continues until the data is trustworthy for analysis. Moving forward with unverified data, starting over without checks, or publishing with failed verification would propagate errors and mislead stakeholders.

Verification failures tell you that the data didn’t meet quality standards, so the next step is to identify the issues found during verification and re-cleanse or re-verify. You diagnose what failed (such as missing values, format errors, inconsistencies, or incorrect joins), fix the data accordingly, and run the checks again to confirm the data now passes. This loop continues until the data is trustworthy for analysis. Moving forward with unverified data, starting over without checks, or publishing with failed verification would propagate errors and mislead stakeholders.

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