What is the primary purpose of API testing?
- To ensure that APIs work as intended
- To test the database schema of the application
- To validate the performance of a web application
- To verify the functionality of the user interface
API testing primarily focuses on checking whether APIs function as expected, ensuring their reliability and correctness.
_________ is a key strategy in API testing that involves dividing input data into various partitions to reduce the number of test cases.
- Boundary Value Analysis
- Equivalence Partitioning
- Negative Testing
- Positive Testing
Boundary Value Analysis is a testing technique that involves selecting test cases at the boundaries of input partitions. It helps identify potential errors at the edges of input ranges, leading to more comprehensive testing.
Which type of testing typically requires more knowledge of the internal code structure?
- Acceptance testing
- Integration testing
- System testing
- Unit testing
Unit testing requires a deep understanding of the internal code structure as it involves testing individual functions or methods in isolation. Testers need to have knowledge of the code to create effective unit tests.
When encountering a scenario where a GraphQL query returns unexpected null fields, what aspect of the API should be primarily investigated?
- Data Fetching Mechanism
- Query Execution Engine
- Resolver Functions
- Schema Definition
In GraphQL, the query execution engine is responsible for executing the requested query and handling null fields. Investigating the query execution engine can help identify issues related to unexpected null fields.
A key challenge in DevOps is ensuring API _________ across different stages of the deployment pipeline.
- Compatibility
- Consistency
- Scalability
- Security
A key challenge in DevOps is ensuring API consistency across different stages of the deployment pipeline. Maintaining consistency in APIs is essential for seamless integration and collaboration between development, testing, and deployment phases. It ensures that APIs behave consistently, reducing the risk of errors and enhancing the overall reliability of the software delivery process.
API rate limiting is often implemented using the _________ pattern, which helps in controlling the traffic flow to the API.
- Circuit Breaker
- Leaky Bucket
- Throttling
- Token Bucket
Rate limiting is often implemented using the Leaky Bucket pattern, which controls the rate at which requests are allowed to flow to the API. The Leaky Bucket algorithm allows a constant number of requests to be processed per unit of time, helping to prevent bursts of traffic.
In API caching, _________ is used to specify how long the response should be considered fresh.
- Cache-Control
- ETag
- Expires
- Last-Modified
In API caching, the "Expires" header is used to specify the date and time until which the cached response is considered fresh. It helps clients determine whether the cached data can still be used or if a new request to the server is required.
Mocking APIs is particularly useful in a __________ environment where the real API is not yet available or is undergoing changes.
- Development
- Production
- Staging
- Testing
In a testing environment, when the real API is not accessible or is undergoing changes, mocking APIs help simulate the expected behavior. This ensures that the application can be tested thoroughly without relying on the actual API.
When testing an API Gateway, what is the importance of evaluating its ability to handle service discovery?
- Fault Tolerance and Error Handling
- Scalability and Performance
- Security and Authentication
- Service Registration and Dynamic Routing
In API Gateway testing, evaluating the ability to handle service discovery is crucial as it ensures dynamic routing and efficient communication among services. This includes service registration and dynamic routing mechanisms.
Which aspect of an API is most crucial to consider when applying Boundary Value Analysis?
- API documentation completeness
- Error handling in the API
- Input values near the boundary limits
- Output values near the boundary limits
In Boundary Value Analysis, the emphasis is on testing input values near the boundary limits. This is critical as these values are more likely to expose errors or unexpected behavior in the API.