In microservices, _________ testing is crucial for verifying interactions at the boundaries of each service.
- Boundary
- Endpoint
- Integration
- Interoperability
Interoperability testing ensures seamless communication between microservices, especially at the boundaries, preventing integration issues in a distributed system.
The use of _________ in microservices facilitates independent scaling and deployment of each service.
- Containers
- Monolithic Architecture
- Orchestration
- Virtual Machines
The use of Containers in microservices facilitates independent scaling and deployment of each service. Containers encapsulate the application and its dependencies, providing consistency across different environments. They enable developers to package and deploy microservices as lightweight, portable units, promoting scalability and efficient resource utilization.
In collaborative teams, testers often use _________ to provide feedback on usability and design.
- Bug Reports
- Code
- Prototypes
- Test Results
Testers frequently rely on prototypes to evaluate the usability and design aspects of the software. Prototypes offer a tangible representation of the user interface, allowing testers to assess user interactions and overall user experience. Feedback from testers on prototypes is valuable for refining the software's design and improving its user-friendliness.
When a critical bug is found late in the development cycle, how should the team of developers and testers respond?
- Delay the bug fix until the next release
- Log the bug but continue with the development process
- Prioritize and fix the bug immediately
- Schedule a meeting to discuss the bug and its impact on the project
In a scenario where a critical bug is found late in the development cycle, the team should prioritize and fix the bug immediately. This helps in preventing the bug from affecting the quality of the final product, ensuring a more reliable release. Delaying the fix might lead to more significant issues during deployment.
In a complex system, managing _________ for APIs becomes a critical challenge in test automation.
- Configuration
- Data
- Dependencies
- Endpoints
In a complex system, managing endpoints for APIs becomes a critical challenge in test automation. APIs often have multiple endpoints, each serving a specific function. Effective management of these endpoints is crucial for creating comprehensive and accurate test cases. Test automation engineers must consider various endpoints and their interactions to ensure thorough API testing coverage in complex systems, ultimately contributing to the reliability of the testing process.
In API testing, _________ within each equivalence partition are typically tested to ensure comprehensive coverage.
- Boundaries
- Extremes
- Limits
- Values
Testing boundaries within each equivalence partition is crucial to achieving comprehensive coverage. It helps identify potential issues at the edges of input values that might impact the behavior of the API.
When an integrated third-party API updates its authentication mechanism, what key test case should be prioritized?
- Assess the impact on unrelated features not directly related to authentication.
- Focus on load testing to ensure the updated authentication mechanism can handle increased user traffic.
- Test the application's UI for any visual glitches caused by the authentication update.
- Verify that the application can still authenticate with the API using the updated credentials.
Ensuring that the application can still authenticate with the updated credentials is crucial to maintaining seamless integration with the third-party API.
Postman's _________ feature enables developers to simulate different server responses without setting up actual backend services.
- Environments
- Interceptor
- Mock Server
- Monitors
Postman's Mock Server feature allows developers to simulate different server responses without the need to set up actual backend services. It is particularly useful during the development and testing phases, enabling developers to create a mock API that mimics the behavior of a real server and test various scenarios.
How does load testing differ from stress testing in the context of API performance?
- Load testing and stress testing are entirely unrelated.
- Load testing and stress testing are interchangeable terms.
- Load testing evaluates system behavior under extreme conditions, while stress testing focuses on normal conditions.
- Load testing focuses on normal conditions, while stress testing evaluates system behavior under extreme conditions.
Load Testing vs. Stress Testing in API Performance
What role do algorithms like Leaky Bucket and Token Bucket play in API rate limiting?
- They are used for authentication purposes
- They are used to smooth out bursts of traffic by controlling the rate of requests
- They control the order of API responses
- They determine the priority of API requests
Algorithms like Leaky Bucket and Token Bucket are used in API rate limiting to control the rate of incoming requests, smoothing out bursts of traffic and preventing overwhelming the API server. They play a crucial role in maintaining system stability and preventing abuse.