Connection pooling in Spring Boot applications offers several benefits, including improved performance, efficient resource utilization, and reduced connection overhead. However, it does not simplify database configuration. Database configuration typically includes specifying the database URL, username, password, and other settings, which connection pooling does not simplify; instead, it enhances performance and resource usage.

To secure service-to-service communication in a Spring Cloud environment using Spring Security, you can use OAuth2. This involves setting up an OAuth2 authorization server and resource servers. Services authenticate and authorize using OAuth2 tokens, ensuring secure communication. Exposing REST endpoints for service authentication and using JWT tokens is one approach, but it's just a part of the broader OAuth2-based security setup. Configuring a shared secret key or using HTTP Basic Authentication doesn't provide the same level of security and flexibility as OAuth2 in a Spring Cloud environment.

In a reactive Spring Boot application, Backpressure is used to handle back pressure in a reactive stream. Backpressure is a mechanism that allows a subscriber to signal to a publisher how many items it can consume at a time. This is essential for preventing overload and resource exhaustion in reactive streams when the publisher emits data faster than the subscriber can handle.

Converting a traditional blocking application to a non-blocking reactive application using WebFlux in Spring Boot comes with several challenges. These challenges include managing backpressure to prevent data overflow, understanding reactive operators to compose and transform data streams effectively, and adapting to the asynchronous nature of reactive programming. It is not necessary or practical to eliminate all database calls and replace them with external REST API calls when transitioning to reactive programming. Ensuring strict blocking behavior contradicts the non-blocking nature of WebFlux. Replacing all reactive components with traditional blocking components would defeat the purpose of adopting reactive programming.

The @RequestHeader annotation is used to bind the value of a method parameter to a named HTTP header in a Spring Boot application. By specifying the header name as a parameter to this annotation, you can access the value of the corresponding HTTP header. The other options are not valid annotations for binding HTTP headers in Spring Boot.

To externalize configuration properties in Spring Boot, the "@ConfigurationProperties" annotation is used on a configuration properties class. This annotation binds properties from the configuration files (such as "application.yml" or ".properties") to fields in the configuration class, allowing easy access to configuration values.

To implement custom validation rules that cannot be expressed with standard JSR-303 annotations, you should create custom validation constraints by extending javax.validation.Constraint and implement the validation logic in the isValid method. Then, apply these custom constraints to your Spring components. This approach aligns with best practices for custom validation in Spring Boot applications.

In a microservices architecture with Spring Cloud, client-side load balancing is achieved by using Netflix Ribbon. Ribbon is a client-side load balancer that helps services locate and balance requests across multiple instances of a service.

Option 3 is correct. To minimize garbage collection pause times in a high-throughput Spring Boot application, you can use the G1 Garbage Collector and tune its parameters. The G1 Garbage Collector is designed to provide low-latency and predictable garbage collection behavior. Increasing heap size (Option 1) may not necessarily reduce pause times. Implementing custom garbage collection algorithms (Option 2) is complex and not typically recommended. Avoiding multithreading (Option 4) is not a practical solution for improving performance.

In a YAML configuration file in Spring Boot, a list of values is represented using a sequence, denoted by -. For example, to define a list of values, you would use the format: - value1 - value2 - value3. This format is commonly used for things like specifying multiple profiles or values in a Spring Boot configuration file.