Top 50 data collection Interview Questions
The most frequently asked data collection questions across all roles and companies, ranked by real interview frequency. Updated daily.
Design an ML system that uses batch and real-time logs, existing outputs, and A/B testing to improve a customer-facing product.
AmazonDesign a secure banking data model, ingestion architecture, execution layer, and ML-ready data usage plan.
McKinsey &Design an end-to-end ML system for stock price prediction, including feature engineering and regression evaluation.
GoogleDesign a privacy-aware Microsoft mobile telemetry SDK with reliable collection, ML prioritization, offline buffering, and low-latency cloud ingestion.
MicrosoftDesign telemetry collection for monitoring ML systems, comparing agent-based and agentless ingestion for downstream detection and scoring.
New RelicExplain a research dataset and design a defensible ground-truth process for a downstream regression task.
Amazon Web ServicesDesign an IR and ranking system that recommends high-protein foods, including preprocessing, storage, serving, and restaurant-menu adaptation.
AppleDesign an end-to-end spoken-audio ML system to detect Parkinson's disease while handling clinical labels, sequential signals, and reliability risks.
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Return one latest row for each duplicate vendor invoice line using import timestamps and a deterministic tie-breaker.
SwinertonIdentify duplicate transaction rows, retain the earliest record, and delete later duplicates safely.
Oracle
DiscoverMicrosoftDeduplicate customer records with ROW_NUMBER, retaining the latest record and reporting duplicate counts.
NewWave Telecom & Technologies