When testing an API that aggregates data from multiple large databases, what key aspect would you focus on to ensure data consistency?
- Transaction management across multiple databases
- Data encryption during transmission
- Load balancing for even data distribution
- API rate limiting for data synchronization
Ensuring proper transaction management across multiple databases is crucial to maintain data consistency. This involves using mechanisms like two-phase commit to ensure that data changes are either committed or rolled back consistently across all databases. Other options address different aspects of API testing but do not directly relate to data consistency.
Loading...
Related Quiz
- _________ in API testing within DevOps is vital for ensuring that APIs can handle real-world load and stress conditions.
- In a DevOps scenario, when an API fails during production, what is the initial step to take considering DevOps practices?
- The use of _________ in data-driven API testing allows for a more comprehensive approach to test various response scenarios.
- Faced with a scenario where an API must handle a sudden surge in traffic, what rate limiting technique would you consider most effective?
- The _________ grant type in OAuth is used primarily for machine-to-machine communication where a user's permission is not explicitly required.