Realign Interview Questions
The questions to prepare for Realign interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Approach for maintaining data quality and integrity across ETL pipelines.
Set up pipeline monitoring and alerting that catches critical failures quickly while limiting noisy alerts.
Design consistency guarantees across distributed ML microservices, data stores, feature pipelines, and model-serving workflows.
Explain how to identify microservice boundaries, migrate safely, and operate the resulting distributed system.
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Evaluates React state architecture, unidirectional data flow, effects, and the separation of client state from server state.
Tests when to choose REST or GraphQL, and the practical trade-offs in API shape, fetching, and caching.
Compare fine-tuning and RAG across knowledge freshness, behavior, quality, cost, latency, and safety.
Design a privacy-preserving process for fine-tuning and prompting models while preventing sensitive data leakage.