Java Multithreading and Parallel Programming Masterclass - Introducing Spring Boot Framework (In a Nutshell)

This lecture introduces the Spring Framework, focusing on its multi-threading capabilities and the Spring Boot framework. It covers the features of Spring Boot, including its pluggable architecture and YAML configuration. The lecture demonstrates building a simple Spring Boot application, interacting with it using a REST API, and managing threads using Visual VM. Key concepts include the use of annotations, thread pools, and configuration files to enhance application performance and scalability.

What is the primary purpose of the Spring Boot framework?

• To manage databases

• To develop desktop applications

• To enhance productivity in enterprise-grade applications

• To create mobile applications

Which language is Spring Boot built on?

• Python

• C++

• Java

• Ruby

What is the first step in setting up a Spring Boot application?

• Adding dependencies in the build file

• Designing the user interface

• Writing test cases

• Creating a database

What is the role of annotations in Spring Boot?

• To compile the code

• To handle exceptions

• To simplify configuration

• To manage memory

What server does Spring Boot use to handle HTTP requests by default?

• IIS

• Nginx

• Apache

• Tomcat

What is the default port for a Spring Boot application?

• 80

• 443

• 8080

• 3000

What is the purpose of a REST controller in Spring Boot?

• To manage database connections

• To handle client requests

• To manage user sessions

• To compile the application

How can you change the port on which a Spring Boot application runs?

• By altering the Java version

• By updating the database configuration

• By changing the main class

• By modifying the application.properties file

What is the state of threads when they are waiting for work in Spring Boot?

• Terminated

• Parked

• Blocked

• Running

What is a recommended solution for handling heavy workloads in Spring Boot?

• Using a single thread for all requests

• Reducing the number of requests

• Increasing the server memory

• Dispatching workloads to a separate thread pool