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Explain the architecture of Kafka and its core components.

Spark/Big Datahard2.6 min readPremium
Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Fragma Data Systems
Key Concepts Tested
optimizationpartition
Expert AnswerPremium
523 wordsIncludes code examplesInterview-ready
**Section 1 — The Context (The 'Why')** Kafka core components—producers, brokers, topics, partitions, consumer groups. Key pitfalls: over-provisioning consumers (idle when consumers > partitions), key-based partitioning for ordering....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Fragma Data Systems. The answer also includes follow-up discussion points that interviewers commonly explore.

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