How does data partitioning impact API testing with large data sets?
- Has no effect
- Improves performance
- Increases latency
- Results in data loss
Data partitioning in API testing with large data sets impacts performance positively. It allows parallel processing, reducing execution time.
Loading...
Related Quiz
- In API caching, _________ is used to specify how long the response should be considered fresh.
- To effectively solve performance issues, it's crucial to monitor _________ during different load conditions.
- What is the significance of custom error codes in API responses?
- When automating a test for an API that integrates with multiple services, what key aspect should the script focus on?
- What is the main advantage of using virtualized services in API test environments?