- What do you know about HTTP response codes? - Describe to me how you would use HTTP Methods for designing endpoints - What is the difference between a Set, List, and a Map?
Microservices Interview Questions
116 microservices interview questions shared by candidates
Mostly on Microservices using Springboot and Oauth end to end implementation and also use of Collections mostly on Hashmap and Hashset, Treemap.
About Spring boot Framework About Microservices architecture. About Collections
Nothing as such, simple Spring, ORM, Java
Please state your high school graduation results or university entrance results, and explain the grading system used. For example, in the US, you might give your SAT or ACT scores. In Germany, you might give your scores out of a grading system of 1-5, with 1 being the best.
Questions about your academics in high school and university. As well as general questions about personal experience related to the job, linux, microservices, and architecture.
What about Canonical is unappealing to you?
Core Java Questions Spring Framework Questions Spring MVC Questions Spring Boot Questions (Microservices) Spring Cloud Questions Database Questions
1. Project Discussion: I was asked to explain the current architecture of my project. I spoke about our microservices-based payment platform using Spring Boot, Kafka, Redis, and PostgreSQL. 2. Deep Dive into Challenges: They asked about the most challenging issue I faced. I shared how we handled message duplication and retries when Kafka consumers failed and how we used Redis for idempotency. 3. Core Spring Concepts: Questions included: Scopes of Spring beans, Use of Prototype scope and related implementation, Common mistakes with Singleton beans, How to exclude packages from component scanning 4. Transaction Management: They asked about @Transactional and how Spring manages transactions under the hood. 5. JPA & Hibernate: Topics included: Features of JPA, Optimizing queries to prevent repetitive DB hits 6. Kafka Scenario-Based: A practical scenario: what to do when a Kafka producer fails. I explained storing failed messages, retry strategies, DB optimizations, and caching using Redis.
Java Springboot annotations and Stream API
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