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Product Knowledge Foundation Questions

Baseline understanding of the company and its primary product or service: what problem it solves, who the users or customers are, the product value proposition, key features and capabilities, major components and high level technical architecture, and how it competes in the market. Candidates are expected to have researched the product enough to clearly summarize its purpose, target users, core workflows, and business goals, and to explain at a basic level how the technology and integrations enable those outcomes. Interviewers use this to assess research preparation, domain comprehension, ability to synthesize product information, and clear communication of product value rather than deep technical expertise.

HardSystem Design
76 practiced
The product must support data residency requirements for customers in EU, APAC, and US regions while offering global search and analytics features. Propose a data partitioning and access model, replication rules, cross-region queries approach, and how SREs will monitor and enforce data residency compliance (auditing, alerts, and remediation).
EasyTechnical
71 practiced
Based on the product's target customers, describe whether it is most likely multi-tenant SaaS, single-tenant, or on-prem. For the model you pick explain two operational implications relevant to SRE (isolation, patching cadence, resource utilization, observability) and how that should affect monitoring and runbooks.
HardTechnical
89 practiced
Build a simple quantitative model to estimate how improving availability from 99.5% to 99.95% would impact revenue for this product. State your assumptions, required data points (sessions/day, conversion rate, ARPU), compute a back-of-envelope estimate, and describe how you would present confidence and sensitivity to Product leadership.
HardTechnical
98 practiced
The product is built from many interdependent microservices. Propose an SLO architecture and error budget allocation model across services: how to attribute user-visible failures to downstream services, how to weight allocations (traffic, revenue), how to prioritize reliability work across teams, and enforcement mechanisms (gates, dashboards, periodic reviews).
HardTechnical
87 practiced
A zero-day exploit is causing partial denial-of-service on the product's public APIs and impacting core customers. Describe immediate containment steps, evidence preservation for forensic analysis, customer and regulatory communications, coordination with security/product/legal teams, and the plan for phased restoration while keeping systems secure.

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