For security testing, API documentation that includes details about ________ and ________ helps in planning targeted security tests.
- Authentication and Authorization
- Data Encryption and Decryption
- Rate Limiting and Error Handling
- Request and Response Validation
Security testing relies on comprehensive API documentation that includes details about authentication and authorization mechanisms, aiding in the planning and execution of targeted security tests.
To maintain data consistency in microservices, _________ strategies are often employed.
- CQRS (Command Query Responsibility Segregation)
- Event Sourcing
- Load Balancing
- Saga
To maintain data consistency in microservices, Saga strategies are often employed. The Saga pattern helps manage distributed transactions by breaking them into a series of smaller, independent steps or compensating transactions. It ensures that the system remains consistent even when multiple microservices are involved in a transaction, and failures occur.
_________ testing in GraphQL is essential to verify that the API enforces proper access control to its data and operations.
- Authorization
- Performance
- Regression
- Unit
Authorization testing is crucial in GraphQL to ensure proper access control to data and operations. This involves checking if only authorized users can perform specific actions, helping to secure the API against unauthorized access.
In a scenario where an API must handle sensitive data, what OAuth strategies would you employ to maximize security?
- Choose OAuth 2.0 Implicit Flow
- Implement OAuth 2.0 Authorization Code Flow with PKCE
- Use OAuth 2.0 Resource Owner Password Credentials (ROPC) Flow
- Utilize OAuth 2.0 Client Credentials Flow
For handling sensitive data, the Authorization Code Flow with PKCE is recommended as it ensures secure exchange of authorization codes, reducing the risk of exposing sensitive information.
In a situation where an API dealing with large data sets experiences performance degradation, what would be your initial step in troubleshooting?
- Analyze API logs and identify bottlenecks
- Implement a content delivery network (CDN)
- Increase server resources such as CPU and RAM
- Optimize network bandwidth for data transmission
Analyzing API logs helps identify potential bottlenecks and performance issues. Increasing server resources, optimizing network bandwidth, and implementing CDNs are valid strategies but may not be the first step in troubleshooting. Understanding the specific issues from logs is crucial before taking corrective actions.
What is a common challenge faced when integrating API test automation into a continuous integration pipeline?
- Inadequate Test Data Management
- Lack of API Documentation
- Limited Test Case Reusability
- Overlapping Test Environments
Integrating API test automation into a continuous integration pipeline can be challenging due to the lack of proper API documentation. Without clear documentation, understanding and writing test cases become difficult.
_________ is a key tool in managing the deprecation of APIs by informing users of upcoming changes.
- Semantic Versioning
- Git Version Control
- Deprecation Warning
- API Documentation
The correct option is "c) Deprecation Warning." Deprecation warnings serve as a crucial tool for notifying users about upcoming changes in APIs, allowing them to adapt and make necessary adjustments to their code. These warnings help in smooth transitions and reduce unexpected disruptions.
In complex test environments, what is a common challenge related to dependency management?
- Difficulty in version control of dependencies
- Incompatibility issues with different versions of dependencies
- Lack of documentation for dependencies
- Security vulnerabilities in dependencies
In complex test environments, managing dependencies becomes challenging due to potential incompatibility issues arising from different versions of dependencies. This can lead to runtime errors and affect the reliability of the testing environment.
For an API that needs to support third-party clients, what considerations are important when choosing an OAuth flow?
- Opt for OAuth 2.0 Authorization Code Flow with PKCE for a balance between security and usability
- Prefer OAuth 2.0 Client Credentials Flow for simplicity and efficiency
- Select OAuth 2.0 Authorization Code Flow for enhanced security
- Use OAuth 2.0 Implicit Flow for better user experience
Supporting third-party clients requires balancing security and usability, making OAuth 2.0 Authorization Code Flow with PKCE a suitable choice for enhanced security without compromising user experience.
Which protocol is primarily used for communication in REST APIs?
- FTP
- HTTP
- TCP
- UDP
REST APIs commonly use the HTTP protocol for communication. HTTP is a stateless protocol that allows communication between clients and servers, making it suitable for RESTful services.