To ensure correct handling of interactions with external services, you would use mock objects or libraries like WireMock to simulate the responses of external services. This approach allows you to control the behavior of the external services during testing without actually making real requests. Live testing against real external services is not recommended in automated testing as it introduces dependencies and can be unreliable. Skipping testing interactions or relying solely on documentation is not a robust testing strategy.

In Spring Cloud, Ribbon is a client-side load balancer that dynamically routes client requests to multiple instances of a service. This helps distribute the load evenly and provides fault tolerance by automatically rerouting requests if a service instance fails.

In JUnit, the @BeforeEach annotation is used to execute a method before each test method in the test class. This is often used for setup operations required before each test case.

To optimize the performance of a Spring Boot application, developers can use "Actuator" to profile and monitor the application in real-time. Spring Boot Actuator provides various production-ready features, including endpoints for monitoring and managing the application. These endpoints can be used to gather metrics, health information, and other runtime data, helping developers identify and address performance issues.

The @EnableAutoConfiguration annotation enables Auto Configuration in a Spring Boot application. It triggers the automatic configuration of beans and components based on the project's dependencies and classpath. @SpringBootApplication is a meta-annotation that includes @EnableAutoConfiguration along with other annotations. @Configuration is used to define Java-based Spring configurations, and @ComponentScan is used for component scanning. They are not directly related to enabling Auto Configuration.

Option 1 is correct. Profiling tools like VisualVM can capture and analyze thread dumps, helping identify performance bottlenecks by showing which threads are causing delays. Increasing heap size or disabling logging may not directly address the root cause of high latency. Adding more physical memory could help with memory-related issues but may not solve latency problems.

In Mockito, you can use the verify method to ensure that a mocked method was called with specific arguments. This is helpful for verifying that your code under test interacts with the mocked dependencies as expected.

Ribbon is a client-side load balancing library used in microservices-based applications. It contributes to the functioning by balancing the traffic between multiple instances of a service, making the application more resilient and efficient. Ribbon helps in handling inter-service communication by distributing requests effectively.

To optimize the request handling process in a large Spring Boot application, you would typically use profiling tools to analyze performance bottlenecks. Profiling helps identify areas where improvements can be made, such as optimizing request routing, data binding, and response generation. Implementing caching may help with performance but is not the first step in optimization. Replacing Spring Boot is a drastic measure and not a typical optimization approach. Reducing the number of routes may not be feasible or effective in all cases.

The use of HTTP/2 in a Spring Boot application can improve its performance by reducing latency. HTTP/2 introduces features like multiplexing and header compression, which reduce the overhead of multiple requests and responses, resulting in faster page loading times. This improvement in latency can significantly enhance the user experience in web applications. Stateful connections are not a direct result of HTTP/2 but can be achieved using other techniques like WebSockets. Increasing the number of threads or using XML for configuration is unrelated to HTTP/2.