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.
SOAP APIs are known for their:
- Strong Typing
- Loose Coupling
- Statelessness
- Synchronous Communication
The correct option is Strong Typing. SOAP APIs are known for enforcing strong typing, which means that the data types of the values in a message are explicitly defined. This adds a layer of rigor to data validation but may result in more complex structures.
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.
Which factor is most critical when dealing with large-scale data in API testing?
- Compatibility
- Reliability
- Scalability
- Usability
Scalability is crucial in handling large-scale data in API testing. It ensures that the system can handle increased data loads without compromising performance.
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.