What is the primary purpose of API testing?
- To ensure that APIs work as intended
- To test the database schema of the application
- To validate the performance of a web application
- To verify the functionality of the user interface
API testing primarily focuses on checking whether APIs function as expected, ensuring their reliability and correctness.
_________ is a key strategy in API testing that involves dividing input data into various partitions to reduce the number of test cases.
- Boundary Value Analysis
- Equivalence Partitioning
- Negative Testing
- Positive Testing
Boundary Value Analysis is a testing technique that involves selecting test cases at the boundaries of input partitions. It helps identify potential errors at the edges of input ranges, leading to more comprehensive testing.
Which type of testing typically requires more knowledge of the internal code structure?
- Acceptance testing
- Integration testing
- System testing
- Unit testing
Unit testing requires a deep understanding of the internal code structure as it involves testing individual functions or methods in isolation. Testers need to have knowledge of the code to create effective unit tests.
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.
_________ 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.
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.