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How would you implement a multi-armed bandit for real-time ad optimization?
Use Thompson Sampling or UCB1; split low-latency inference from async updates; track regret.
Design an LLM ad copy system with human-in-the-loop
LoRA on approved copy, inference guardrails, human review, feedback as preference pairs for RLHF.
How would you model cross-platform ad campaign data and adaptation logic?
Propose a canonical model, platform adapters mapping copy to each schema, and an async pipeline with validation.
How would you implement specific error messages for failed validation rules?
Error codes from validators, a mapping layer separating logic from copy, and accessible inline rendering.
How do you handle UI text pluralization with ICU Message Format?
This tests i18n depth beyond adding an 's'. A strong answer names ICU MessageFormat, lists the six CLDR plural cases, and notes translators provide strings per case. Red flag: hard-coding suffixes or simple if/else logic that breaks in Polish or Arabic.
How do you implement a CTA A/B test and attribute conversions?
This tests experiment architecture from bucketing to attribution. A strong answer covers: stable user bucketing, server or client-side rendering, and conversion events tagged with experiment and variant IDs.
Describe architecture for live UI text updates without deployment
Structured API, webhook sync, client or edge rendering with cache versioning, and rollback.
Design a CI/CD step to auto-lint application content
Rule types (terminology, placeholders, i18n), tools (TextLint, Vale, AST), and failure mode (block vs warn).
How do you convert dense documentation into a spoken video script?
Shorter sentences, inline context instead of footnotes, conversational second-person voice, verbal signposts, and visual cues.
What techniques make complex technical topics understandable in audio-only podcasts?
Great answers cite relatable analogies, vocal signposting, and narrative framing without visual references.
How would you script a concurrency analogy for junior developers?
This tests scaffolding hard ideas via ADEPT. A strong answer sequences analogy, diagram, example, plain-English reasoning, and technical notation while flagging where metaphor breaks. A red flag is treating the analogy as proof or ignoring its failure modes.
Propose a script template and review process for 20 tutorial videos
This tests scalable content ops with distributed engineers. A strong answer gives a modular script template with locked sections, a tiered review pipeline using a style guide and peer review. Red flag: a single flat review or no tone calibration.
How would you structure an interactive non-linear tutorial script?
Tests separation of content from branching logic via node graph and user model. Outline: addressable state nodes, error edges, drama manager querying user history for contextual help. Red flag: nested conditionals or hardcoding branches in video files.
Build a simple A/B test for a headline
Assign each visitor a sticky bucket, serve the matching headline variant, log impressions and conversions per variant.
What CTA metric wins an A/B test and how to log it?
This tests connecting instrumentation to business outcomes via a click metric and tracked event. An answer picks click or conversion rate, fires an event with variant ID, and notes uniqueness. A red flag is using views without linking the event to the button.
Explain statistical significance in copy A/B tests and why one day fails.
This checks if you distinguish signal from noise. A strong answer defines statistical significance as confidence a difference is real, warns that one-day samples are small and skewed by variance, and cites false positive risk.
How does cookie clearing affect A/B results and consistency?
This tests bucketing integrity when state changes re-randomize users. Explain that re-bucketing contaminates the sample and triggers SRM; propose deterministic server-side assignment, fingerprinting, or authenticated IDs.
Compare A/B/n testing with multi-armed bandits for headline optimization
Contrast A/B/n with dynamic MAB allocation; A/B/n optimizes final inference, MABs optimize reward; flag real-time infra.
Manage localized copy across many A/B tests
A keyed versioned string store, a translation workflow with per-locale status, and pooling or hierarchical analysis for small languages.
How do you diagnose a confounded A/B test with slower page load?
This tests confounding beyond p-values. A strong answer isolates the bug, checks if slower load hurt or helped conversions, and judges whether copy or latency caused the lift. A red flag is defending a 5% win because p < 0.05 while ignoring randomization.