Lenovo Java Backend Developer Interview Experience (3 YOE) – Complete Question Breakdown

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· Java Backend Developer· 3y exp
February 28, 2026 · 1 reads

Summary

I recently appeared for a Backend Developer interview at Lenovo, where I was asked questions spanning Java core concepts, Microservices, System Design, Spring Boot, SQL, Git, and coding problems using the Stream API.

Full Experience

Recently, I appeared for a Backend Developer interview at Lenovo (Tech Stack: Java, Spring Boot, Microservices, MySQL, Apache Kafka, DSA). I’m sharing my experience and some of the questions that were asked — hoping it helps others preparing for similar roles.

Interview Questions (37)

1.

Java 8 New Features

Other

What are the new features introduced in Java 8?

2.

What is a Method Reference?

Other

What is a Method Reference?

3.

Default Methods in Interfaces

Other

What are Default Methods in interfaces?

4.

Intermediate Operations in Streams

Other

Explain Intermediate Operations in Streams.

5.

HTTP Status Code 204

Other

What is HTTP Status Code 204?

6.

HashMap vs Hashtable

Other

Difference between HashMap and Hashtable.

7.

Garbage Collection

Other

What is Garbage Collection and how does it work?

8.

How JWT Works

Other

How does JWT (JSON Web Token) work?

9.

Integrating 3rd-Party APIs

Other

How do you integrate 3rd-party APIs in your project?

10.

Microservices Concept

System Design

Explain the concept of Microservices in your project.

11.

Authentication Layer in Architecture

System Design

Explain the Authentication Layer in your architecture.

12.

Distributed Transactions: 2PC vs Saga

System Design

Distributed transactions – Compare 2PC vs Saga (real production trade-offs).

13.

Debugging Duplicate Payment Transactions

System Design

Debugging duplicate payment transactions issue end-to-end.

14.

Design a Rate Limiter

System Design·Hard

Design a rate limiter handling millions of requests per second.

15.

Architect a Real-time Fraud Detection System

System Design·Hard

Architect a real-time fraud detection system.

16.

Spring Boot Application Startup Process

Other

What happens internally when a Spring Boot application starts? (Lifecycle & Bean Initialization Flow)

17.

What is @Lazy?

Other

What is @Lazy?

18.

What is @Component?

Other

What is @Component?

19.

What is Component Scanning?

Other

What is Component Scanning?

20.

Global Exception Handling in Spring Boot

Other

How do you handle exceptions globally?

21.

What is JPA?

Other

What is JPA?

22.

Explain Bean Scopes

Other

Explain Bean Scopes.

23.

@RequestParam vs @RequestBody

Other

@RequestParam vs @RequestBody

24.

What is @PathVariable?

Other

What is @PathVariable?

25.

Saga & Circuit Breaker Design Pattern

System Design

Saga & Circuit Breaker Design Pattern

26.

SQL: Fetch Records with Offset and Limit

Data Structures & Algorithms·Easy

Given a User table with 50 records, write a SQL query to fetch 20 records starting from the 5th row, including only the first and last name.

27.

SQL: INNER JOIN Query

Data Structures & Algorithms·Easy

Write an INNER JOIN query between two tables.

28.

Git Usage in Team

Other

How do you use Git in your team?

29.

Git Branching & Merging Strategy

Other

Branching & merging strategy?

30.

JUnit and Mockito Usage

Other

What is the use of JUnit and Mockito in your project?

31.

Calculate Total Revenue using Streams

Data Structures & Algorithms·Easy

Calculate total revenue from all orders using Streams.

32.

Find Top 3 Highest-Priced Products using Streams

Data Structures & Algorithms·Medium

Find the Top 3 highest-priced products across all orders.

33.

Group Products by Category and Calculate Total Revenue

Data Structures & Algorithms·Medium

Group products by category and calculate total revenue per category using Streams.

34.

Find Customers with More Than 3 Orders

Data Structures & Algorithms·Medium

Find customers who placed more than 3 orders using Streams.

35.

Identify Most Frequently Sold Product

Data Structures & Algorithms·Medium

Identify the most frequently sold product using Streams.

36.

Anagram Check

Data Structures & Algorithms·Easy

Determine if two strings are anagrams of each other.

37.

Product of Array Except Self

Data Structures & Algorithms·Medium

Given an integer array nums, return an array answer such that answer[i] is equal to the product of all the elements of nums except nums[i]. The product of any prefix or suffix of nums is guaranteed to fit in a 32-bit integer. You must write an algorithm that runs in O(n) time and without using the division operation.

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