Top 50 data streams Interview Questions
The most frequently asked data streams questions across all roles and companies, ranked by real interview frequency. Updated daily.
Design a streaming ML pipeline that detects anomalies across spans, metrics, and logs at million-event-per-second scale.
Cisco
BMC SoftwareDesign a resilient Kafka and Spark pipeline with durable ingestion, stream processing, replay, observability, and optional ML inference.
AppleDesign a data warehouse for employee hours, headcount, and hiring and attrition metrics by department and building.
Amazon Web ServicesDesign a scalable inventory tracking system with real-time updates, accurate state, anomaly detection, and resilient serving.
QXODesign a resilient global batch clickstream pipeline that produces and emails weekly subscriber reports.
AppleExplain checkpointing in data streaming pipelines, including state recovery, processing guarantees, and failure tradeoffs.
Accenture Federal ServicesExplain how data pipelines process, count, reconcile, and monitor batch versus streaming records.
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Tests ownership and influence in evaluating third-party API risk under delivery pressure, especially when approval affects sensitive data access.
Micro1