In Spring Boot's reactive streams, back pressure can be handled by using operators like onBackpressureBuffer. Back pressure is a mechanism that allows consumers to signal producers to slow down when they are overwhelmed with data. The onBackpressureBuffer operator is used to buffer excess items when the downstream subscriber can't keep up, preventing data loss and allowing the system to handle the flow of data efficiently.

Garbage Collection optimization is significant in Spring Boot because it can reduce memory usage. Inefficient garbage collection can lead to increased memory consumption, longer pauses, and application slowdowns. By optimizing garbage collection settings and strategies, you can reduce memory overhead, minimize pause times, and improve overall application performance. Garbage Collection does not directly impact database performance or network communication speed in Spring Boot applications.

In Spring Boot, the module that enables the development of reactive applications is spring-webflux. This module provides a foundation for building reactive, non-blocking applications. It includes support for creating reactive RESTful services and interacting with reactive data sources. Reactive programming is particularly useful for handling high concurrency and low latency scenarios.

To integrate a custom authentication provider in Spring Security, you should add a custom AuthenticationProvider bean to the Spring application context and configure it in the security configuration. This allows Spring Security to use your custom logic for authentication. Options 1 and 4 are not correct; they do not represent the standard way of integrating custom authentication providers. Option 2 is also incorrect as authentication providers are typically configured programmatically, not in properties files.

Method-level security annotations in Spring Security are implemented by using @EnableMethodSecurity in a @Configuration class and applying @PreAuthorize and @PostAuthorize annotations on methods. Options 1 and 4 are incorrect, while Option 2 is partially correct but not the recommended approach.

When defining a global exception handler in Spring Boot, you can use the Throwable argument in the exception handling method to access the details of the occurred exception. This argument allows you to inspect and respond to exceptions in a generic way. The other options do not represent the correct argument type for accessing exception details.

To handle cache concurrency in Spring Boot, you can use the @Cacheable annotation with a sync attribute set to true. This ensures that cacheable methods are synchronized, preventing multiple threads from recomputing the same cached value concurrently. The other options are not standard approaches to handling cache concurrency in Spring Boot, and using a ConcurrentCacheManager is not a built-in feature of Spring Boot's caching framework.

The @SpringBootTest annotation is primarily used for writing integration tests in Spring Boot applications. It loads the complete Spring application context, allowing you to perform tests in a real Spring environment.

The deleteById method of a JpaRepository deletes an entity by its primary key and returns the deleted entity. This method is a convenient way to remove a specific entity from the database. The other options do not accurately describe the behavior of this method, as it neither deletes all entities nor marks an entity as "deleted" without removing it from the database.

In a Spring Boot application, the @CookieValue annotation is used to bind the value of a method parameter to a named cookie value. This allows you to access and use cookies sent by the client in your controller methods. It simplifies the process of working with cookies in a Spring Boot application.