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Explain offset management, Sync vs. Async commits, partition assignment strategies and Consumer groups, and handling backpressure in Kafka streams.

SQLmedium0.4 min readPremium
Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Expedia
Key Concepts Tested
partition
Expert AnswerPremium
86 wordsInterview-ready
**Architectural Logic**: Offsets track progress; commit strategy affects consistency; backpressure affects throughput. **Offset Management**: Consumers commit to track progress. **Sync vs Async**: Sync = block until ack; at-least-once. Async = non-blocking; higher throughput; duplicate risk on failure. **Partition Assignment**: Range, round-robin, sticky, cooperative sticky. **Consumer Groups**: One consumer per partition; scale by adding consumers. **Backpressure**: Slow consumer = lag....
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