What are some common mistakes when using mock data?

What are some common mistakes when using mock data?

Some common mistakes include using unrealistic data, not updating mock data with real data changes, and failing to cover edge cases.

Can you give examples of unrealistic data?

Sure! Examples include using overly simplistic names like 'John Doe' or unrealistic age ranges that don't reflect real-world scenarios.

How can I ensure my mock data is more realistic?

You can base your mock data on real datasets, use data generation tools, and regularly review and update it to reflect changes.

What are edge cases, and why should I consider them?

Edge cases are scenarios that occur at the extreme ends of input ranges. Considering them helps ensure your application handles all possible user inputs.