Load testing is a type of testing that simulates network latency and tests how an application performs under stress by subjecting it to various loads. It helps determine the application's response time, scalability, and reliability under different levels of user activity, ensuring it can handle the expected workload.

By creating "Indexes" in a database, you can speed up the retrieval of rows from a database table. Indexes provide a faster way to locate specific data, enhancing database query performance.

The Open-Closed SOLID principle states that classes should be open for extension but closed for modification. It promotes software design that allows for new functionality to be added without altering existing code.

The Waterfall-Prototype model combines characteristics of the traditional Waterfall model and the iterative Prototype model. It allows for early feedback like prototyping while maintaining a structured approach like Waterfall.

The V-Model ensures that development and testing processes correspond by defining corresponding development and testing phases that run in a sequential and parallel manner. It emphasizes testing requirements based on corresponding development phases, improving alignment and effectiveness.

During "Stress" testing, a software application is tested under a specific expected load to assess its performance under extreme conditions and to identify its breaking point.

The Requirements phase of the SDLC involves validating the requirements to ensure they align with the project's objectives. This phase is crucial for establishing a clear project scope and ensuring that the requirements are realistic and achievable.

The primary goal of the requirement gathering process is to understand and document the needs and expectations of stakeholders, which helps in creating a software system that meets their requirements.

In the context of database design, 'Normalization' refers to simplifying the database structure by organizing data into smaller, related tables to improve data integrity and minimize redundancy.

To ensure a clear and common understanding, system requirements are typically written in a structured document. This documentation serves as a reference for all stakeholders involved in the project.

Transitioning from monolithic to microservices requires more complex and distributed monitoring and logging. Microservices introduce new challenges, such as service discovery and container orchestration.

Adaptive maintenance is suitable for legacy applications requiring frequent updates and enhancements. It ensures the system can adapt to evolving requirements while maintaining stability.