Enterprise Java Architect Assessment

Q: What is this java-spring-boot mock test?

This is a comprehensive java-spring-boot mock test with 25 questions covering Integration Architecture, Jakarta EE, Legacy Modernization. It simulates real technical interviews with timed conditions and provides detailed explanations.

Q: How long does the test take?

The test has a time limit of 120 minutes. You can pause and resume, but we recommend completing it in one sitting.

Q: Will I get feedback on my answers?

Yes! After each question, you receive immediate feedback with detailed explanations. At the end, you get a comprehensive report showing your strengths and areas for improvement.

Q: Is this test suitable for FAANG interview preparation?

Absolutely! Our questions are curated by FAANG interviewers and cover the exact topics and difficulty levels you'll encounter in top tech company interviews.

Question 1

When would you choose Apache Kafka over traditional JMS (ActiveMQ/RabbitMQ) in an enterprise Java...

Answer

For high-throughput event streaming, event sourcing, and when message replay is required

Question 2

What is the primary architectural difference between stateful session beans (SFSB) and stateless ...

Answer

SFSB maintain conversational state across multiple client calls; SLSB are stateless and pooled, making them more scalable

Question 3

What is the 'Strangler Fig Pattern' and how is it applied to modernizing legacy Java applications...

Answer

Gradually replace specific functionalities with new microservices, routing traffic between legacy and new systems until full replacement

Question 4

In a distributed transaction across multiple microservices, why would you choose the 'Saga Patter...

Answer

XA requires distributed transaction coordinator and locks resources; Saga uses compensating transactions for better scalability and availability

Question 5

What is the purpose of 'Application-Level Caching' (e.g., Caffeine, Ehcache) vs 'Distributed Cach...

Answer

Application cache is local to each JVM (fast but not shared); distributed cache is shared across JVMs (slower but consistent)

Question 6

How does 'Read-Through' caching differ from 'Cache-Aside' pattern?

Answer

Cache-Aside: app checks cache, then DB; Read-Through: cache sits between app and DB, cache loads missing data automatically

Question 7

What is the 'CQRS' pattern and when is it appropriate in enterprise Java systems?

Answer

Separating read and write models (different data structures/databases) for high-performance systems with different read/write scalability needs

Question 8

What is 'Database Sharding' and what are the common sharding strategies in enterprise Java?

Answer

Horizontal partitioning of data across multiple databases based on a shard key (hash, range, or directory-based)

Question 9

In a high-traffic enterprise Java application, what is the purpose of a 'Connection Pool' (e.g., ...

Answer

To reuse database connections, reducing overhead; optimal pool size = (core_count * 2) + effective_spindle_count, typically 10-20 connections per instance

Question 10

What is the 'Outbox Pattern' and which problem does it solve in event-driven architectures?

Answer

Ensuring reliable event publication alongside database writes without using distributed transactions (stores events in outbox table, published by separate process)

Enterprise Java Architect Assessment

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What You'll Get