During a high-stakes ETL testing project, what should be the approach if an unexpected data anomaly is detected?
- Continue the testing process and report the anomaly at the end
- Document the anomaly, analyze its impact, and consult with stakeholders on the next steps
- Ignore the anomaly as it might be a false positive
- Immediately stop the testing process and inform stakeholders
In a high-stakes ETL testing project, detecting unexpected data anomalies is critical. The correct approach is to document the anomaly, analyze its impact, and consult with stakeholders to determine the appropriate course of action. This ensures thorough investigation and effective communication.
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