What advanced techniques are used in automation testing to ensure the accuracy of data analytics?
- Code coverage analysis
- Data masking and synthetic data generation
- Model-based testing
- Random test data generation
Advanced techniques in automation testing for data analytics include data masking and synthetic data generation. By masking sensitive information and generating synthetic data, testers can ensure that the test data used in analytics scenarios is realistic yet compliant with data privacy regulations. This approach helps validate the accuracy and reliability of data analytics processes without exposing sensitive information during testing.
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