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Module 18 · Page 19 of 20 · 9 sections

Interview Preparation

What interview rounds to expect, the topics to revise, sample technical, system design, LLD and behavioral questions, and a prep strategy.

18.1

1. Why Interview Preparation is Important?

  1. 1Helps you understand what to study.
  2. 2Improves problem solving and system design skills.
  3. 3Builds confidence and communication.
  4. 4Helps you learn real-world expectations.
  5. 5Increases chances of getting the right job.
  6. 6Helps you understand trade-offs and best practices.
  7. 7Gives clarity on industry trends and technologies.
  8. 8Useful for both technical and managerial roles.
18.2

2. Types of Interview Rounds

1
Online Assessment
MCQs, coding questions.
2
Technical Interview
DSA, core concepts, system design.
3
Machine Coding Round
Build small projects.
4
Low Level Design (LLD)
Class diagrams, design patterns.
5
High Level Design (HLD)
Scalable system design.
6
Behavioral Round
Past experience, problem solving.
7
Managerial Round
Communication, leadership, ownership.
8
HR Round
Culture fit, salary discussion.
18.3

3. Key Topics to Prepare

CategoryImportant topics
Core JavaOOPs, Collections, Multithreading, JVM, Java 8, Streams
Spring BootREST API, Microservices, Security, Exception Handling, Swagger, Actuator
DatabaseMySQL, MongoDB, SQL, Indexing, Query Optimization, Transactions
System DesignScalability, Load Balancing, Caching, Database Design, Messaging, Microservices
MessagingKafka, Producer / Consumer, Partitions, Offsets, Exactly-once, Use Cases
Cloud & DevOpsDocker, Kubernetes, CI/CD, AWS (EC2, S3, ECS)
AI / GenAIRAG, Vector DB, LangChain, LLM, Prompt Engineering, Agents
DSAArrays, Strings, Linked List, Trees, Graphs, DP, Sliding Window
BehavioralProject discussion, leadership, conflict resolution
18.4

4. Common Interview Questions (Examples)

  1. 1Explain the architecture of a Spring Boot application.
  2. 2How does Kafka ensure message durability?
  3. 3What is the difference between SQL and NoSQL?
  4. 4How do you design a scalable microservices system?
  5. 5Explain the working of RAG with an example.
  6. 6How do you handle caching to improve performance?
  7. 7What are the challenges in deploying ML models in production?
  8. 8Tell me about a challenging project you worked on.
  9. 9How do you handle failures in a distributed system?
  10. 10What are the trade-offs between different databases?
18.5

5. System Design Interview Topics

  1. 1Design a URL shortener (e.g. bit.ly).
  2. 2Design a chat application (e.g. WhatsApp).
  3. 3Design a recommendation system (e.g. Netflix).
  4. 4Design a document search system (RAG based).
  5. 5Design a payment system (e.g. UPI).
  6. 6Design a ride booking system (e.g. Uber).
  7. 7Design a video streaming platform (e.g. YouTube).
  8. 8Design a notification system (e.g. Email / SMS / Push).
18.6

6. LLD Interview Topics

  1. 1Design a parking lot.
  2. 2Design a booking system.
  3. 3Design a file storage system.
  4. 4Design an ATM machine.
  5. 5Design a library management system.
  6. 6Design a rate limiter.
  7. 7Design a cache (LRU).
  8. 8Design a notification service.
18.7

7. Behavioral Interview Questions

  1. 1Tell me about yourself.
  2. 2Walk me through your recent project.
  3. 3What was the biggest challenge you faced?
  4. 4How do you handle tight deadlines?
  5. 5Give an example of a time you showed leadership.
  6. 6How do you work in a team?
  7. 7What motivates you?
  8. 8Where do you see yourself in 5 years?
18.8

8. Preparation Strategy

  1. 1Make a study plan and focus on weak areas.
  2. 2Practice coding questions daily.
  3. 3Build and revise real-world projects.
  4. 4Read system design case studies.
  5. 5Prepare answers for common behavioral questions.
  6. 6Take mock interviews.
  7. 7Revise important concepts with notes.
  8. 8Stay updated with the latest industry trends.
18.9

9. Useful Resources

CategoryResources
DSA practiceLeetCode, CodeStudio, HackerRank
System designSystem Design Primer (GitHub), Grokking System Design
Spring BootOfficial Docs, Baeldung, TechPrimers
KafkaConfluent Docs, Kafka YouTube Tutorials
GenAI / RAGLangChain Docs, LlamaIndex, Qdrant Docs
Interview experienceBlind, LinkedIn, GeeksforGeeks, InterviewBit
Mock interviewsPramp, interviewing.io, Peer Mock
Behavioral prepSTAR Method, Own Experience, Project Stories