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.
_________ in versioning ensures that older versions of the API function correctly even after new versions are released.
- Backward Compatibility
- Endpoint
- Forward Compatibility
- Payload
Backward compatibility in versioning ensures that older versions of the API continue to function correctly even after new versions with updated features are released. This is crucial to prevent disruptions for existing clients using the API and promotes a smooth transition to newer versions.
What is Equivalence Partitioning in the context of API testing?
- A method for load testing APIs
- A method of dividing input values into groups to reduce test cases
- A process of debugging API endpoints
- A technique for analyzing API response times
Equivalence Partitioning is a testing technique where input values are divided into classes or partitions, allowing efficient testing of representative values from each class. It helps reduce the number of test cases while ensuring adequate coverage.
For a holistic view of API performance, integration of _________ data with monitoring tools is crucial.
- Business Intelligence Data
- Infrastructure Monitoring Data
- Security Audit Logs
- User Experience (UX) Metrics
Integrating infrastructure monitoring data with API performance tools is essential for a comprehensive view. It helps in identifying bottlenecks, optimizing resources, and ensuring overall system reliability.
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.
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.
SOAP APIs are more rigid in their structure due to the use of ______, while RESTful APIs offer more flexibility with ______.
- JSON
- WSDL
- XML
- YAML
SOAP APIs are typically associated with XML, which enforces a more rigid structure. On the other hand, RESTful APIs use formats like JSON, providing greater flexibility in data representation.