_________ is a critical factor in performance testing that measures the time taken for an API to respond to a request.
- Bandwidth
- Latency
- Redundancy
- Throughput
Latency is the time delay between the initiation of a request and the response. It plays a crucial role in determining the efficiency and responsiveness of an API during performance testing.
In the context of API testing, what is the primary goal of Equivalence Partitioning?
- To achieve 100% test coverage
- To divide input data into groups for testing
- To identify invalid inputs
- To reduce testing effort
The primary goal of Equivalence Partitioning in API testing is to divide the input data into groups or classes that are expected to exhibit similar behavior. This helps in designing test cases that cover each class, ensuring comprehensive testing while minimizing redundancy and effort.
_________ testing in CI/CD ensures that API changes are backward compatible.
- Acceptance Testing
- Integration Testing
- Regression Testing
- Unit Testing
Regression testing in CI/CD verifies that new code changes do not negatively impact existing functionalities. It helps ensure that API changes do not introduce bugs or break existing functionality, maintaining the backward compatibility of the system. This is crucial for a reliable CI/CD pipeline.
When an API's performance decreases over time, what key areas should be investigated for potential memory leaks?
- CPU usage and disk I/O
- Code syntax and structure
- Network latency
- Object references and memory allocation
Memory leaks often stem from issues in object references and memory allocation. Investigating these areas can reveal inefficient memory management and guide the resolution of potential leaks.
How does adding automated API tests to a CI pipeline improve the software development process?
- Accelerates development cycles
- Ensures code quality through automated tests
- Facilitates collaboration among development teams
- Reduces the need for manual testing
Automated API tests in a CI pipeline can accelerate development cycles by providing quick feedback on code changes, ensuring code quality, facilitating collaboration, and reducing the reliance on time-consuming manual testing.
In the context of microservices architecture, how is error handling managed across different services?
- Ignoring errors for faster response times
- Implementing centralized error handling
- Relying on individual service logs
- Using distributed tracing tools
In microservices architecture, error handling across different services is often managed using distributed tracing tools. These tools provide visibility into the flow of requests and responses across various microservices, allowing for the identification and diagnosis of errors that span multiple services. Centralized error handling and logging can complement distributed tracing, ensuring a comprehensive approach to managing and troubleshooting errors in a distributed environment.
How does Equivalence Partitioning help in identifying edge cases in API testing?
- By dividing input data into different groups
- By executing all possible combinations
- By focusing only on valid inputs
- By providing a specific set of test cases
Equivalence Partitioning involves categorizing input data into equivalence classes. This helps in identifying edge cases by selecting representative test cases from each class, ensuring thorough coverage and testing for various scenarios. It allows testers to focus on specific data sets that are likely to expose potential issues in the API.
_________ is a key approach in microservices for ensuring that API changes do not break existing clients.
- API Versioning
- Incremental Versioning
- Micro Versioning
- Service Versioning
In microservices, API versioning is crucial to ensure smooth transitions and backward compatibility. It allows existing clients to work seamlessly with updated APIs.
What strategy should be employed when an API deprecation is likely to cause significant disruption to existing workflows?
- Abruptly shut down the deprecated API without notice
- Keep extending the deprecation period indefinitely
- Offer alternatives but provide no deprecation timeline
- Provide a long deprecation period with alternatives and backward compatibility
When an API deprecation is likely to cause disruption, it's advisable to provide a long deprecation period with alternatives and backward compatibility. This allows users to migrate at their own pace, reducing the impact on existing workflows. Abruptly shutting down the API or extending the deprecation period indefinitely can lead to frustration and business disruption.
In a scenario where API tests must be run across different platforms and devices, which feature of an automation tool is most beneficial?
- Cross-Browser Compatibility
- Keyword-Driven Testing
- Load Testing
- Parallel Execution
In scenarios where API tests need to run across different platforms and devices, Parallel Execution is the most beneficial feature of an automation tool. This allows simultaneous execution of tests across multiple environments, ensuring efficient testing across various platforms and devices. It helps in identifying any platform-specific issues and improves overall test coverage.