FAANG Specific Technology and Culture Questions
Understanding of what makes each FAANG company's technical challenges and culture unique. Google focuses on scale and distributed systems. Amazon emphasizes customer obsession and operational excellence. Meta focuses on mobile and infrastructure. Apple emphasizes hardware-software integration and user experience. Netflix is known for microservices and freedom and responsibility culture. Microsoft has become increasingly cloud-focused with Azure. Understanding each company's technical philosophy helps you source engineers who align with that culture.
MediumTechnical
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Compare how scale-related constraints at Google vs. operational-excellence constraints at Amazon influence feature engineering practices for a model that predicts real-time fraud. Provide 4 contrasts with examples.
MediumBehavioral
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Behavioral: Tell me about a time when you had to adapt your data science approach because of strong company-level cultural constraints (e.g., strict release cadence, legal/privacy policies, or high-availability requirements). Use the STAR format and emphasize trade-offs you made.
EasyTechnical
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Meta (Facebook) emphasizes mobile-first infrastructure and fast iteration. For a data scientist building personalization for a mobile app, outline 5 metrics (product, infra, data) you would track to evaluate both model performance and user experience.
MediumTechnical
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Medium: Provide a runbook outline for a data scientist on-call at a company that blends Amazon's customer-obsession with Netflix's freedom. Include detection, triage steps, stakeholder notification templates, and post-incident actions.
HardTechnical
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Technical_coding: Given an event stream of user interactions, design a streaming job (pseudocode is fine) that enforces privacy-preserving aggregation for product telemetry in a Google-like organization. Requirements: per-day aggregates, k-anonymity threshold (k configurable), and differential privacy noise addition. Explain how culture (privacy-first vs. rapid experimentation) affects deployment.
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