Automated tests are most effective when they don't require frequent modifications. Test cases that need constant updates due to changing requirements can be resource-intensive to maintain in an automated framework, thus reducing the efficiency benefits of automation.

SonarQube is a popular tool used for static code analysis. It scans source code for vulnerabilities, bugs, and code smells, providing a comprehensive overview of code quality. JIRA, Selenium, and Jenkins serve different purposes in the software development lifecycle.

Data-driven scripting allows the separation of test scripts from the test data. This means one script can be executed with multiple sets of test data. As a result, the number of scripts needed is reduced, making test automation more efficient and manageable. You can test various scenarios using the same script by merely changing the input data.

For mobile apps, it's imperative to test both Landscape and Portrait modes when conducting functional testing. This ensures that the application's functionality remains consistent and error-free regardless of the orientation. Given that users might switch between modes frequently, it's crucial to verify the app's behavior in both scenarios.

Stability: Stress testing aims to determine a system's robustness by pushing it beyond its limits. When the system fails, it's crucial to assess its stability in terms of recovery and ensure that it doesn't compromise the data integrity and returns to its stable state.

Scalability Testing focuses on measuring a system's capacity to scale up based on the load it can handle. For a cloud-based storage service, understanding the point at which concurrent uploads start affecting speed is essential. This ensures that as user numbers grow, the service remains efficient and reliable.

Risk Mitigation involves taking steps to reduce the adverse effects of risks. In this case, strategies such as redistributing tasks, hiring a temporary resource, or adjusting timelines can be considered to manage the risk of project delays caused by the resignation.

A Performance Tester focuses on assessing the application's speed, responsiveness, stability under load, etc. These are non-functional aspects. On the other hand, a Functional Tester primarily ensures that the software behaves according to the specified requirements, which includes validating user flows, boundary conditions, and UI consistency.

Blue-Green Deployments are a strategy to achieve zero-downtime deployments by maintaining two production environments, blue (current) and green (new). When deploying a new release, it's first deployed to the "green" environment. Once everything is confirmed to work perfectly, the traffic is switched to "green" from "blue", ensuring that at no point there's any downtime. This aligns with CI/CD's principles of rapid and reliable deployments.

Monkey testing involves applying random inputs without specific test cases or scripts. While this can find unique and unexpected defects, a drawback is that it might not always mimic real-world user interactions and scenarios, potentially missing out on some critical user-centric bugs.

The test control phase focuses on monitoring and controlling the testing activities, such as observing test results, making decisions on priorities, and scheduling. The aesthetic choices, like the color of the testing software or tools, are not of concern in this phase as they don't impact the testing process's efficacy or results.

Load Testing: This testing is designed to test the system under the expected load. The goal is to ensure that any reduction in system performance or degradation is identified and addressed before the system becomes live and starts impacting the end-users.