How does AI/ML assist in the optimization of data transformation rules in ETL testing?
- By automatically generating optimal transformation rules
- By executing rule optimization without human intervention
- By providing recommendations for rule optimization
- By validating rules manually after optimization
AI/ML in ETL testing helps by providing recommendations for optimizing data transformation rules, allowing testers to make informed decisions for better performance and efficiency. It involves human judgment in the optimization process.
Loading...
Related Quiz
- What is the significance of conducting boundary value analysis in ETL testing?
- How does risk-based testing impact the Test Execution Lifecycle?
- What is the primary purpose of a test case in software testing?
- What is the impact of metadata management on data lake testing?
- To efficiently manage data quality, ________ provides integrated tools and features.