The State pattern is a behavioral design pattern that allows an object to alter its behavior when its internal state changes. It appears as if the object changed its class.

Composite pattern is a design pattern that allows complex objects to be built up from simpler objects, through the creation of a composite object that is made up of multiple components. The pattern involves creating a common interface for both composite and leaf objects, allowing the client to treat both types of objects in a uniform manner. This pattern can be useful in situations where objects can be composed of other objects, and the relationship between the objects needs to be managed in a structured way.

It depends on the size and complexity of the project as well as the desired level of control over data access. In general, the Repository Pattern is a better choice for large or complex projects where scalability and maintainability are important, while the Active Record pattern is better suited for small projects and simple data access.

Using the Repository pattern with an ORM provides a clean separation between the business logic and the data access logic, making the code easier to maintain and test. It also allows the application to take advantage of the low-level details of data access handled by the ORM, such as generating and executing SQL statements.

In mobile web services, ECC is often preferred for its security and efficiency compared to RSA.

The principle of loose coupling is crucial in designing scalable and resilient web services, allowing components to evolve independently.

TLS version 1.2 brought enhancements in both speed and security compared to its predecessors.

You should not use the Repository Pattern with Entity Framework as it provides similar functionality and can lead to unnecessary complexity and code duplication. Entity Framework provides an abstraction over the data access layer, making the Repository Pattern redundant.

The MVC and MVVM patterns are both used to separate an application into different components to improve maintainability, but they differ in the way they do so. In MVC, the application is separated into 3 components: model, view, and controller. In MVVM, the application is separated into 3 components: model, view, and view model. The view model in MVVM serves as a mediator between the model and the view, using data binding to keep the two in sync.

CQRS has many benefits, including improved scalability and maintainability due to separating the read and write operations into separate models, and reducing the likelihood of race conditions and deadlocks in multithreaded applications.

Bridge pattern is a design pattern that separates an object's implementation from its interface, allowing the two to vary independently. The pattern involves creating an abstraction layer that acts as a bridge between the implementation and interface, allowing the implementation to be changed without affecting the client code. This pattern can be useful in situations where an object's implementation needs to be changed frequently, or where multiple implementations are needed for the same interface.

Filter pattern is a design pattern that filters a set of objects based on certain criteria and returns a subset of those objects. The pattern involves creating a filter interface that defines the criteria for filtering objects, and then implementing that interface for each specific filter. The objects being filtered are then passed through the filters, with only the objects that meet the criteria being returned. This pattern can be useful in situations where a large number of objects need to be filtered based on specific criteria.