Kafka - Advanced Stream Processing
You want to build a Kafka system that handles complex workflows with multiple services. Which advanced pattern helps manage failures without losing messages?
You want to build a Kafka system that handles complex workflows with multiple services. Which advanced pattern helps manage failures without losing messages?
hard📝 Application Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Understand failure handling in complex workflows
Failures can cause message loss or blocking if not handled properly.Step 2: Role of dead letter queue (DLQ)
DLQ stores failed messages separately for later inspection or retry, preventing loss.Step 3: Evaluate other options
Single topic with no partitions limits scalability; disabling consumer groups and ignoring retries cause failures.Final Answer:
Dead letter queue to capture failed messages -> Option AQuick Check:
DLQ = Safe failure handling [OK]
Quick Trick: Use dead letter queues to handle failures safely [OK]
Common Mistakes:
- Thinking ignoring retries is safe
- Believing single topic is scalable
- Disabling consumer groups helps reliability
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