Performance testing involves measuring the system's response time under different loads to evaluate its efficiency, speed, and overall performance. This helps ensure that the system can handle various levels of load without compromising response times and functionality.

Collective Ownership is a key principle in Agile and DevOps, promoting cross-functional collaboration and shared responsibilities among team members. This principle emphasizes that everyone in the team is responsible for the overall success of the project, fostering a collaborative and cooperative working environment. It aligns with the Agile value of individuals and interactions over processes and tools.

Recovery testing focuses on assessing the system's ability to recover from failures, ensuring it can resume normal operation gracefully.

Postman simplifies authentication in API testing by offering integrated OAuth 2.0 support. This feature enables seamless handling of authentication mechanisms, ensuring secure and efficient testing. Testers can avoid manual entry of credentials by utilizing Postman's authentication features, enhancing the testing process.

The priority of a defect is generally determined by its severity level. A defect with higher severity often gets a higher priority as it may have a more significant impact on the overall functionality of the system.

Risk assessment involves identifying and prioritizing risks, while risk mitigation focuses on implementing strategies to reduce the impact of identified risks. In testing, understanding these concepts helps in developing effective risk management plans to ensure the quality of the software throughout the development lifecycle.

Data masking is a technique in test data management that involves disguising original data to protect sensitive information. It ensures data privacy and security during testing.

Cucumber facilitates collaboration by allowing non-technical stakeholders to understand and contribute to the testing process. Its natural language syntax promotes readability. Additionally, it easily integrates with multiple programming languages, making it versatile. While it simplifies test case management, it may not be specifically known for strong support in parallel test execution compared to some other frameworks.

Profiling tools are commonly used in functional testing to assess performance. These tools help identify areas of code that consume significant resources, allowing testers to optimize performance. While load testing tools are crucial for performance testing, profiling tools specifically assist in understanding code-level performance issues.

When discrepancies arise between expected and actual results during test execution, it's crucial to verify the test environment setup and data to ensure consistency. Rerunning the test with different configurations may help isolate the issue. Comparing actual results with expected results allows testers to identify deviations and investigate the root cause. Reporting the issue without investigation may lead to unresolved defects and inaccuracies in test reporting.