PRGX Global Interview Questions
The questions to prepare for PRGX Global interviews, across all roles. Questions from real interview reports rank first. Updated weekly.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
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Plan a phased rollout for a new operational initiative with clear stages, success criteria, and risk controls.
PRGX GlobalBuild a KPI hierarchy that links frontline operational signals to business outcomes and supports better decisions.
PRGX GlobalDesign an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
PRGX GlobalExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
PRGX GlobalExplain how to design and evaluate an A/B test for a product feature, including metrics, MDE, sample size, and guardrails.
PRGX GlobalExplain a sales strategy you built and executed, including segmentation, objection handling, and how it drove account growth.
PRGX GlobalUse joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersCalculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.
Compute per-vehicle daily autonomous vs manual seconds from state-change logs using LEAD and conditional aggregation.