Core Java Questions
Common Questions
== vs .equals()
- == compares references
- .equals() compares content
- Override .equals() with .hashCode()
ArrayList vs LinkedList
- ArrayList: O(1) access, O(n) insert
- LinkedList: O(n) access, O(1) insert
- ArrayList preferred (cache locality)
HashMap Internals
- Array of buckets (default 16)
- Hash function determines index
- Collision: chain, treeify at 8
- Load factor 0.75 -> resize 2x
synchronized vs volatile
- volatile: visibility guarantee
- synchronized: exclusion + visibility
JVM & Performance
JVM Memory Model
- Heap: Young Gen + Old Gen (shared)
- Stack: method frames (per thread)
- Metaspace: class metadata
Garbage Collection
| Collector | Use Case |
|---|---|
| G1 | Default, balanced |
| ZGC | Ultra-low latency <10ms |
Diagnosing Issues
High CPU: jps -> top -Hp -> jstack
Memory leak: jstat -> jmap dump -> MAT analysis
Key Points
- Understanding Java Backend Questions is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Practice Problems
Design and implement a solution for Java Backend Questions in a backend system. Consider scalability, error handling, and production readiness.
Solution
// Java Backend Questions implementation
// Key aspects: validation, error handling, logging, testing
public class JavaBackendQuestions {
// Production-ready implementation
}Identify and handle edge cases for Java Backend Questions. What happens under high load, with invalid input, or during failures?
Solution
// Edge case handling:
// 1. Null/empty input -> validation
// 2. High load -> rate limiting, queuing
// 3. Failures -> retries, circuit breaker
// 4. Concurrent access -> locks, idempotencyWrite a testing strategy for Java Backend Questions. Include unit tests, integration tests, and performance tests.
Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injectionQuiz
1. Default HashMap load factor?
2. Best GC for ultra-low latency?
3. What is the primary purpose of Java Backend Questions?
4. What is a common mistake when implementing Java Backend Questions?
Flashcards
Question
HashMap load factor?
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Answer
0.75 - resizes at 75% capacity
Question
synchronized vs volatile?
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Answer
synchronized: exclusion + visibility. Volatile: visibility only
Question
What is Java Backend Questions?
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Answer
Java Backend Questions is a key concept in backend development.
Question
When to use Java Backend Questions?
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Answer
Use Java Backend Questions when building production systems that require reliability, scalability, and maintainability.
Question
Java Backend Questions best practices
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Answer
Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.
Revision Notes
Key Takeaways
- 1.== vs equals() and when to override
- 2.HashMap: array, buckets, treeify at 8
- 3.JVM: Heap, Stack, Metaspace
- 4.GC: G1 for balance, ZGC for ultra-low latency
Interview Tips
- •Practice coding Java data structures
- •Explain JVM memory model
- •Know jstack and jmap commands
Cheat Sheet
Java Backend Interview
- == vs equals(): Reference vs Content
- HashMap: Array of buckets, load factor 0.75
- volatile: Visibility. synchronized: Exclusion + Visibility
- GC: G1 (default), ZGC (ultra-low latency)