How can you learn more about why features were rejected?

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Multiple Choice

How can you learn more about why features were rejected?

Explanation:
When debugging why features don’t pass a transformer, the direct clue is the flow of rejected features and their attributes. Features that fail a transformer are sent to the Rejected port, and they carry the fme_rejection_code attribute that specifies why they were rejected. By inspecting these rejected features and reading that code (and any accompanying fme_rejection_message), you can pinpoint the exact rule or data issue causing the rejection. This per-feature detail is what lets you adjust data, fix the transformer logic, or handle exceptions accordingly. The Translation Log can show that a feature was rejected, but it doesn’t provide the precise per-feature rejection reasons in a structured way. The Navigator window helps you explore datasets, not the rejection reasons. The Parameter Editor dialog is for changing transformer settings, not diagnosing why features failed.

When debugging why features don’t pass a transformer, the direct clue is the flow of rejected features and their attributes. Features that fail a transformer are sent to the Rejected port, and they carry the fme_rejection_code attribute that specifies why they were rejected. By inspecting these rejected features and reading that code (and any accompanying fme_rejection_message), you can pinpoint the exact rule or data issue causing the rejection. This per-feature detail is what lets you adjust data, fix the transformer logic, or handle exceptions accordingly.

The Translation Log can show that a feature was rejected, but it doesn’t provide the precise per-feature rejection reasons in a structured way. The Navigator window helps you explore datasets, not the rejection reasons. The Parameter Editor dialog is for changing transformer settings, not diagnosing why features failed.

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