Software Development Lifecycle and Tradeoffs Questions

Covers fundamental software development lifecycle concepts and the technical tradeoffs made during product development. Topics include the lifecycle phases of requirements gathering and analysis, design, implementation and development, testing, deployment, and maintenance, and awareness of different lifecycle models such as waterfall, agile and scrum, and iterative development. Also covers practical engineering techniques and tradeoffs such as feature flags, split testing, blue green deployments, canary releases, technical debt, and how decisions affect velocity quality and maintainability. Emphasis is on understanding how individual engineering work fits into the broader process and how to reason about tradeoffs between speed cost scalability and code quality.

EasyTechnical

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You have a backlog containing high-severity customer bugs and several high-value new features requested by sales. As the Product Manager planning the next release, describe your prioritization approach, frameworks you would use (RICE, impact/urgency, severity), how you'd negotiate with stakeholders, and how you'd communicate tradeoffs.

MediumTechnical

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Define SLA and SLO objectives for a new core API feature: pick SLIs to measure, set SLO targets and error budgets, define alert thresholds, and explain how SLOs should influence release readiness and prioritization of fixes versus new features.

MediumTechnical

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You're launching a new payments flow. Create a pre-release checklist covering security & PCI, fraud detection, multi-currency testing, observability, rollback plan, compliance sign-offs, feature flag plan, and support staffing. Explain why each item matters and acceptable exit criteria.

MediumTechnical

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Describe how you would design and run an A/B test for a new checkout flow: instrumentation to capture key metrics, randomization method, sample size calculation, rollout plan (feature flags), guardrails, and stopping criteria. Also explain how you'd handle experiment data privacy and cross-device users.

HardTechnical

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Design how to instrument feature flags and experiments to be GDPR/CCPA-compliant. Cover what user data you log, pseudonymization approaches, consent-aware experiment sampling, data retention, and how to audit feature exposure without leaking personal data.

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