Spring & Spring Boot Interview Guide
Why take this course?
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Spring JDBC: It is a data access technology for Java applications. It's part of the Spring Framework project and provides a simple way to use core JDBC to access and manipulate data in a database using SQL statements. Unlike Hibernate or iBATIS, there is no abstraction over JDBC: you directly use
JdbcTemplateandSimpleJdbcCallbackfor database operations. -
PA: In the context of Spring, it often refers to "Plain Old Java" or "Plain Ancient Java," emphasizing that Spring does not require nor enforce any complex or special Java constructs for its usage.
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Spring Data JPA: An extension of the core Spring Data abstraction for general data access layers, specifically aimed at simplifying the integration with Java Persistence API (JPA) implementations such as Hibernate. It provides a simple programming model for mapping classes and query methods to database tables and queries.
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Spring Data JDBC: An extension of Spring Data that provides a more modern, type-safe alternative to
JdbcTemplatewith the use of Spring's dependency injection and reactive types where applicable. -
Spring Boot Data Application: A Spring Boot application designed for data-centric applications. It bundles various data access technologies including JPA, SQL, NoSQL, NewSQL, and graph databases. It includes tools and libraries to simplify the creation, maintenance, and deployment of such applications.
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Spring Integration/Spring Batch: For handling complex data processing and integration with various messaging systems or batch jobs. Spring Integration lets you define data flows in a declarative way, enabling you to integrate with different message endpoints, file systems, databases, or services, while Spring Batch is built for long-running, resource-intensive, and high-performance batch processing applications.
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Spring Security: A powerful and highly customizable authentication and access-control framework for securing Spring-based applications. It can be used with a wide range of backend and frontend component technologies.
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Spring MVC: A web module for the Spring Framework providing a hierarchical controller model, internationalization support, and a powerful form binding framework. Spring MVC allows developers to build web applications that leverage the full power of the Spring Framework's dependency injection (DI) programming paradigm.
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Spring WebFlux: A non-blocking, reactive framework for building server-side applications or SPIs with a JSon-BSON support out-of-the-box for MongoDB. It is designed to work seamlessly with Spring Data repositories and combines the capabilities of Spring MVC with Project Reactor's functional constructs.
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RESTful Web Services: REST (Representational State Transfer) is an architectural style for designing network systems. RESTful services are built upon this style, allowing for the use of HTTP requests to perform CRUD (Create, Read, Update, Delete) operations on resources through standardized methods like GET, POST, PUT, and DELETE.
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Swagger/OpenAPI: A set of tools for developing RESTful APIs that adheres to the OpenAPI Specification (formerly known as Swagger Specification). It can be used to design and document APIs as well as generate client libraries and server stubs from the API definition.
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Spring Boot Actuator: A feature of Spring Boot which produces a set of endpoints (and a UI) that reflect the state of the application, e.g., health, metrics, env, info, etc. It helps in monitoring and management of applications.
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Spring Cloud: A suite of tools for building highly distributed systems with minimal effort and complexity. It provides abstraction over various components and patterns such as configuration management (Spring Cloud Config), service discovery/client (Spring Cloud Netflix Eureka), circuit breaker (Spring Cloud Netflix Hystrix), intelligent routing (Spring Cloud Netflix Zuul), and more.
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Microservices: A style of service-oriented architecture where components are small, modular, and loosely coupled. Spring Boot is often used to build individual microservices that can be developed, deployed, and scaled independently.
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Spring Cloud Stream / Spring Cloud Data Flow: For building event-driven applications with minimal effort. It provides a unified abstraction over different messaging systems like Kafka, RabbitMQ, etc., allowing developers to build message-driven applications without worrying about the underlying complexity.
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Containerization and Orchestration: With Docker and Kubernetes becoming mainstream, Spring Cloud offers various project starters to easily integrate Spring Boot applications with these container technologies (e.g., Spring Cloud OpenFeign for service clients, Spring Cloud Netflix Ribbon for load balancing, etc.).
To summarize, Spring is a broad ecosystem of libraries and tools that facilitate the development of various types of applications from traditional enterprise Java applications to modern reactive web services, microservices, and event-driven systems. It provides a wide range of choices to developers, allowing them to use the appropriate tool or framework for the task at hand while keeping code modular and maintainable.
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Comidoc Review
Our Verdict
Spring & Spring Boot Interview Guide is undoubtedly an effective course for developers seeking a quick, thorough refresher on interview-related topics. Excelling in its accessibility to various experience levels and incorporating user feedback, Ranga presents an engaging, hands-on learning environment with minimal gaps. Some minor oversights include potential improvements for specific niche audiences along with additional topics (Spring Security) for comprehensive review. Nonetheless, the course’s primary strength lies in its ability to efficiently bridge knowledge gaps through real-world Q&A sessions. This empowering, interactive approach unquestionably earns this interview guide a spot as an indispensable Spring Framework and Spring Boot study resource.
What We Liked
- Comprehensive coverage of essential Spring and Spring Boot interview questions, catering to a wide range of topics including REST API, JPA, Hibernate, Spring Data JPA, and Spring AOP.
- Well-structured course designed for experienced developers seeking quick revision or thorough interview preparation—ideal for mid-senior level professionals with prior exposure to Spring Framework and Spring Boot.
- Real-world learning opportunity: participants appreciated practical questions, enabling effective concept reinforcement. Users also benefit from engaging Q&A format, facilitating retention of essential knowledge.
- High-quality course content enhanced by updates reflecting latest industry practices (as of November 2024).
- Easy-to-follow sessions complemented with real-world examples—efficiently bridge knowledge gaps without extensive prior Spring expertise.
- Praiseworthy community engagement through direct interaction and helpful suggestions, ensuring a continuously improved learning resource.
Potential Drawbacks
- Some participants expressed desire for an interview-focused experience level targeting specific roles or experiences. However, others acknowledged the resource's value in addressing general Spring Framework and Spring Boot interview questions.
- Absence of certain topics (like detailed Hibernate vs JPA comparison and Spring Security) within course scope may leave users seeking additional resources to cover exhaustive interview bases.
- Select participants expressed preference for supplementary materials, such as quizlets or flashcards, while others successfully integrated AI tools (e.g., ChatGPT) to address their needs.
- Handful of learners suggested annotation comparison and more extensive coverage of dependency injection and Maven tool.
- Course length might appear overwhelming despite the condensed nature of essential topics—users may consider dividing content into smaller study sessions as needed.