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Sequential testing, interference, stratified bucketing, bot filtering, portfolio holdouts, cross-platform migration, and governance at scale on experimentation infrastructure.
Layers and holdouts, targeting and ramps, sticky assignment, sample ratio checks, warehouse exports, and operational hygiene on experimentation platforms. Mix of single-answer and multiple-answer items.
How A/B and feature-flag platforms assign users, log exposures, allocate traffic, and support safe rollout basics. Mix of single-answer and multiple-answer items; multi-select questions ask you to select every correct statement.
Advanced power for experimentation programs: simulation-based power, cluster and geo designs, multiplicity, sequential and optional stopping, variance reduction, and aligning analysis models with power assumptions. Mix of single-answer and multiple-answer items; multi-select questions ask you to select every correct statement.
Planning and interpreting power for product experiments: effect sizes, variance, two-proportion and mean tests, one- vs two-sided tests, and minimum detectable effects. Mix of single-answer and multiple-answer items; multi-select questions ask you to select every correct statement.
Foundations of statistical power: Type I/II errors, significance level, sample size intuition, and why underpowered experiments miss real effects. Mix of single-answer and multiple-answer items; multi-select questions ask you to select every correct statement.
Identification vs estimation, SUTVA, heterogeneous effects, mediation, double robustness, staggered DiD cautions, and design-first causal reasoning for complex product and policy settings. Mix of single-answer and multiple-answer items.
DAGs and backdoor adjustment, regression pitfalls, diff-in-diff intuition, instrumental variables, matching, and threats to validity in quasi-experiments. Mix of single-answer and multiple-answer items.
Foundations of cause and effect: correlation vs causation, confounding, randomization, counterfactuals, and common observational pitfalls. Mix of single-answer and multiple-answer items.
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