Top 50 kafka Interview Questions
The most frequently asked kafka questions across all roles and companies, ranked by real interview frequency. Updated daily.
Design a streaming pipeline for McKinsey & clients that absorbs unpredictable volume spikes while preserving reliability, quality, and latency.
McKinsey &Design a fault-tolerant real-time pipeline that ingests, validates, transforms, stores, and serves data for AI applications.
Fujitsu
BarclaysDesign a reliable streaming pipeline for Zendesk customer and employee experience signals.
ZendeskExplain Kafka streaming experience and a practical approach to monitoring consumer lag, broker health, reliability, and recovery.
JPMorganChaseCompare the core architectural differences between Azure Event Hub and Apache Kafka for pipeline design decisions.
CoforgeDesign a fault-tolerant streaming pipeline that detects fraudulent transactions in real time and supports replay, backfills, and model updates.
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Design a resilient Kafka and Spark pipeline with durable ingestion, stream processing, replay, observability, and optional ML inference.
AppleAssesses your understanding of messaging patterns, reliability, and operational trade-offs.
EPAM Systems