In a situation where an API is expected to handle large data sets, what type of positive testing would you prioritize?
- Focus only on testing with small data sets for simplicity.
- Ignore performance testing as it is not relevant for large data sets.
- Perform performance testing to assess the API's scalability and responsiveness.
- Test the API only with data sets provided in the requirements.
Prioritizing performance testing is crucial when an API is expected to handle large data sets. This involves assessing the scalability, response time, and resource utilization of the API under heavy loads. By conducting performance testing, you ensure that the API can efficiently handle the expected volume of data, delivering a seamless user experience.
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