In what situations and for what purposes do you use data collections?

Data collections are used for convenient storage, organization, and processing of multiple data elements. In QA and automation testing, collections help:

• Store sets of test data (e.g., lists of input values).
• Manage test results (e.g., collect errors or logs).
• Organize data for test parameterization.

For example, in Python, lists or dictionaries can be used to store test scenarios and their parameters, which simplifies scaling and maintaining tests.