Master Microservices in 2025: Top Scenario-Based Interview Questions You Need to Know! | Code Decode

In this video of code decode we have covered top scenario based microservice interview questions in 2025 for experienced canditate

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*Service Communication and Data Consistency*
*Q1:* You have multiple microservices communicating synchronously via REST. A service in the middle of a request chain fails. How do you handle failure recovery and ensure data consistency?



If a *microservice in the middle of a synchronous REST request chain fails**, failure recovery can be handled using **resilience patterns* to prevent cascading failures and improve system stability.

*1. Implement Circuit Breaker Pattern (Prevent System Overload)*
The *circuit breaker* prevents the system from repeatedly calling a failing service, which could lead to further slowdowns.

*Solution**: Use **Resilience4j Circuit Breaker* to monitor failures and temporarily stop calls to the failing service.

*2. Use Retry Mechanism for Temporary Failures*
If the failure is **intermittent**, retrying after a short delay can resolve the issue.

*3. Set Timeouts to Avoid Blocking Requests*
If a service is unresponsive, requests may **hang indefinitely**. Timeouts ensure that failing services do not slow down the entire system.

*Solution**: Configure **timeouts* for outgoing HTTP calls.

*4. Implement Fallback Mechanisms*
When a service fails, *return a default response* or use a *cached response* instead.

*Solution**: Store **recent successful responses* in a cache (e.g., Redis) and serve them when the service is down.

*5. Use Asynchronous Processing for Non-Critical Requests*
Instead of *synchronous REST calls**, consider **event-driven communication* (Kafka, RabbitMQ) for better resilience.

**Solution**: Instead of waiting for a response, publish an event to a message queue.

*Q2:* In an e-commerce application, an order service calls payment and inventory services. How do you ensure that the order is placed only if both payment and inventory updates are successful?



Ensuring that an order is placed *only if both payment and inventory updates are successful* in a *microservices architecture* requires a strategy for *distributed transactions* and **data consistency**. Since microservices do not share a single database, traditional ACID transactions are not feasible. Below are effective solutions:







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