What are some common mistakes in database testing?
Some common mistakes include not testing with realistic data, ignoring performance testing, and skipping security checks.
Can you elaborate on why using realistic data is important?
Using realistic data helps ensure that the tests reflect actual usage scenarios, which can uncover potential issues.
What about performance testing? Why is that often overlooked?
Performance testing is often overlooked because teams may focus on functionality first, but it’s crucial for scalability.
How can I avoid these mistakes in my testing process?
To avoid these mistakes, create a comprehensive testing plan that includes realistic data, performance benchmarks, and security protocols.
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