The evaluation of _________ is a key aspect of API testing, contrasting with the more isolated approach of unit testing.
- Contracts
- Dependencies
- Integration
- Responses
Detailed In API testing, the evaluation of contracts is crucial. Contracts define the expected interactions between different components of the system. API testing involves checking whether the API adheres to its defined contracts, ensuring proper communication and functionality. This is in contrast to unit testing, which often focuses on isolated components rather than their interactions.
What is the best practice for phasing out a widely used API?
- Gradually phase out the API, supporting it for an extended period, and guiding users toward adopting newer versions or alternatives.
- Ignore the API and let users find alternatives on their own.
- Provide no guidance or support during the deprecation process.
- Stop supporting the API immediately to force users to migrate quickly.
The best practice for phasing out a widely used API involves a gradual approach, continued support, and guidance for users to transition smoothly. Abruptly ending support may disrupt services for users and create dissatisfaction.
_________ is a strategy in API caching that involves storing responses based on request parameters.
- FIFO (First In, First Out)
- Key-based caching
- LRU (Least Recently Used)
- Time-based caching
In API caching, key-based caching is a strategy where responses are stored based on specific request parameters. This allows for efficient retrieval of cached data when subsequent requests share the same parameters.
How should error handling be approached when integrating a third-party API?
- Handle errors gracefully and provide meaningful feedback
- Ignore errors and log them for future analysis
- Propagate the errors to the end-user
- Retry the API call
Effective error handling is vital in API integrations. Handling errors gracefully and providing meaningful feedback to users helps in troubleshooting and resolving issues efficiently.
_________ plays a crucial role in API versioning, especially when deciding the lifecycle and deprecation policies for API versions.
- Authorization
- Configuration
- Documentation
- Metadata
Documentation is crucial in API versioning as it provides clear information about the API, including its lifecycle and deprecation policies, aiding developers in understanding changes.
In GraphQL, what is the role of a Schema?
- Define the data structure and types
- Execute queries
- Handle HTTP requests
- Store data in the database
A Schema in GraphQL defines the types of data that can be queried and the relationships between them. It serves as a contract between the client and server, specifying the structure of the API.
In API automation scripts, _________ are used to validate the response and ensure it meets certain criteria.
- Assertions
- Functions
- Loops
- Variables
In API automation, assertions are crucial for validating the response received from the API. They allow you to set criteria and ensure that the API response aligns with the expected results. This helps in verifying the correctness of the API behavior.
SOAP APIs enforce a strict _______ which is essential for enterprise-level web services.
- Language
- Protocol
- Schema
- Style
SOAP APIs enforce a strict schema, defining the structure of data exchanged between systems. This strict structure is crucial for enterprise-level web services, ensuring consistency and reliability in data communication.
In the context of API testing, how does parameterization in data-driven testing enhance test coverage?
- Varied input scenarios
- Code optimization
- Database management
- Error handling
Parameterization in data-driven testing allows testers to use varied input scenarios, covering a wide range of possible inputs and conditions. This enhances test coverage by exploring different combinations of inputs and ensuring the API functions correctly across diverse situations. Options 2, 3, and 4 are not directly related to the concept of parameterization and test coverage.
In a distributed system, what challenge does contract testing primarily address?
- Communication and integration between services
- Data inconsistency across distributed components
- Latency issues between services
- Scalability concerns within individual services
Contract testing primarily addresses the challenge of communication and integration between services in a distributed system. By validating the contracts between services, it ensures that they can interact seamlessly, reducing the risk of failures due to miscommunication. This approach enhances the reliability and effectiveness of distributed systems.