314,552 interview questions from 6,000+ companies.
Tests learning agility under delivery pressure, with emphasis on ownership, prioritization, and adapting quickly to unfamiliar technical work.
Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.
Compare batch and streaming data processing, including when each fits best in a pipeline.
Tests conflict resolution and influence when a stakeholder challenges an architectural decision with meaningful business or technical stakes.
Tests prioritization under pressure: balancing technical debt, delivery commitments, and stakeholder alignment with clear ownership.
Approach for adding data quality checks, observability, and production monitoring to a data pipeline.
Design a grounded document Q&A system and explain how vector search improves retrieval quality, latency, and hallucination control in RAG.
Securely manage secrets and environment variables in a Jenkins CI/CD pipeline without exposing them in code, logs, or build agents.
Design a monitoring and alerting approach for a mission critical pipeline, covering system health, data quality, and operational response.
Tests communication across distributed cross-functional teams, with emphasis on alignment, stakeholder management, and execution discipline.
Approach for applying least privilege and security controls to an AWS-based data pipeline infrastructure.
Design an AWS data lake architecture handling 12 TB/day batch data and 80K events/sec with governed bronze, silver, and gold layers.
Optimize a Spark join where skewed keys create long-running tasks during a transaction to merchant metadata enrichment step.
Design state management for a multi-turn agent with context window limits, durable memory, and low-loss summarization of user preferences.
Explain how to manage memory, summarization, retrieval, and safety in a long-running LLM agent when context exceeds the model window.
Design guardrails for an autonomous LLM agent that limit harmful actions, resist prompt injection, and stop infinite loops.
Design an evaluation framework for an agentic workflow that measures accuracy, safety, and latency before production launch.
Tests advanced SQL skills for time-based analytics using window functions.
Tests your ability to implement end-to-end observability and auditability for agent behavior.
Tests your ability to compare tool-calling mechanisms for correctness, safety, and operational complexity.
50 total questions
