When testing a newly released version of an API, how does updated documentation assist in identifying changes impacting existing test cases?
- Explains the history of the API
- Guides in identifying breaking changes and adapting test cases
- Helps testers understand changes in API endpoints
- Provides insights into potential security vulnerabilities
Updated documentation is crucial for identifying breaking changes that may impact existing test cases. It outlines modifications in endpoints, payload, or behavior, enabling testers to adapt and validate the application against the updated API. This helps maintain test accuracy and coverage.
When testing APIs with large data sets, focusing on ___________ is essential to prevent data corruption and loss.
- Authentication
- Authorization
- Data Integrity
- Encryption
Data integrity is crucial in API testing to prevent data corruption and loss. It ensures that the data remains accurate, consistent, and unaltered during various operations, enhancing the reliability of the API.
In the context of microservices, API versioning becomes challenging due to _________.
- Dependency Chains
- Distributed Data
- High Coupling
- Inter-Service Communication
Microservices pose challenges to API versioning due to issues like inter-service communication and high coupling, making it important to carefully plan versioning strategies.
In GraphQL, what is the purpose of an introspection query?
- It executes mutations
- It fetches all available queries
- It provides information about the schema
- It retrieves user data
An introspection query in GraphQL is used to get information about the schema itself. It helps developers understand the types, queries, and mutations available in the API. It is not intended for user data retrieval or mutation execution.
What is the benefit of involving testers in the code review process?
- Enhancing Code Quality
- Improving Test Efficiency
- Minimizing Bug Reports
- Reducing Development Time
Involving testers in the code review process brings diverse perspectives, helping identify defects and potential improvements early. Testers can focus on aspects related to testability, ensuring the code meets testing requirements, ultimately enhancing overall code quality.
_________ in Postman refers to the feature that enables...
- Automation
- Monitors
- Newman
- Pre-request Scripts
"Pre-request Scripts" in Postman refer to the feature that enables automated testing of APIs through scripts. These scripts run before the actual request is sent, allowing you to set up conditions or modify parameters dynamically.
In API deprecation, what is the role of versioning control?
- Ensures backward compatibility
- Facilitates parallel API development
- Improves API security
- Manages the release cycle
Versioning control is crucial in API deprecation to facilitate parallel development. By maintaining different versions, developers can introduce changes gradually without disrupting existing clients. This allows for a smoother transition when deprecating older versions.
Which metric is commonly used to evaluate the performance of an API during testing?
- Code Complexity
- Code Duplication
- Lines of Code
- Response Time
Response time is a crucial metric in API performance testing. It measures the time taken by an API to respond to a request, reflecting its efficiency and speed. Monitoring response time helps ensure that the API meets performance expectations and delivers a satisfactory user experience. It is a key indicator of the overall health and performance of the API under different conditions.
In advanced API testing, automation scripts are used to simulate _________ to test the API's behavior under stress.
- Concurrent user interactions
- Large data payloads
- Slow internet connections
- Unexpected errors
Simulating concurrent user interactions is a key aspect of stress testing in API automation, helping assess the API's performance under heavy loads.
When assessing test coverage, how should the approach to API testing differ from unit testing?
- API testing should encompass scenarios that involve the integration of multiple components, validating the communication and data flow between them. It aims to cover end-to-end functionality across different parts of the system. In contrast, unit testing should focus on thorough testing of individual units or functions to achieve comprehensive coverage within each unit.
- API testing's test coverage approach should concentrate on assessing the integration of different components, covering diverse scenarios. Unit testing, meanwhile, should ensure comprehensive coverage within each unit, thoroughly testing all possible input combinations.
- Test coverage in API testing should prioritize high-level, end-to-end scenarios that involve the collaboration of various components. Unit testing, however, should delve into specific functionalities within individual units, aiming for comprehensive coverage at the function or method level.
- The approach to test coverage in API testing should emphasize scenarios that simulate real-world interactions between different components. Unit testing, on the other hand, should ensure exhaustive coverage within each isolated unit, testing various inputs and edge cases.
When evaluating test coverage, API testing and unit testing require distinct approaches. API testing should focus on end-to-end scenarios, validating interactions between components. Unit testing, in contrast, should achieve thorough coverage within individual units, ensuring the reliability of each function or method.