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What is the role of Zookeeper in Kafka?

Spark/Big Datamedium0.4 min read

**Zookeeper (pre-KRaft)**: (1) Broker registration and metadata. (2) Leader election for partitions. (3) Consumer group coordination (offsets, rebalance). (4) Topic config. **KRaft (Kafka 3.x)**: Kafka Raft; replaces Zookeeper. Metadata in Kafka itself. Simpler ops. **Why It...

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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
partition

Why This Question Matters

This medium-level Spark/Big Data question appears frequently in data engineering interviews at companies like Fragma Data Systems. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (partition) will help you answer variations of this question confidently.

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Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones.

Expert Answer
72 words

Zookeeper (pre-KRaft): (1) Broker registration and metadata. (2) Leader election for partitions. (3) Consumer group coordination (offsets, rebalance). (4) Topic config.

KRaft (Kafka 3.x): Kafka Raft; replaces Zookeeper. Metadata in Kafka itself. Simpler ops.

Why It Mattered: Zookeeper was single point of coordination. Ensemble of 3, 5, or 7 for HA.

Scalability Trade-offs: Zookeeper session timeouts cause rebalance. KRaft eliminates Zookeeper dependency.

Cost Implications: Zookeeper = extra cluster. KRaft = fewer components.

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