Effective test data management often requires _________ to ensure data quality and relevance.
- Acceptance Testing
- Data Profiling
- Mutation Testing
- Stress Testing
Effective test data management often requires Data Profiling to ensure data quality and relevance. Data Profiling involves analyzing and assessing the quality of data, identifying inconsistencies, and ensuring that the test data used in automated tests accurately represents real-world scenarios. This helps in improving the reliability of tests and the overall effectiveness of test data management.
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