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Otsuka Interview Questions

The questions to prepare for Otsuka interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

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1
CodingStart here. 4 questions · ~36 min
2
Machine Learning4 questions · ~36 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffOtsuka
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3
Strategy4 questions · ~36 min
Sizing an Untapped Product MarketHard

Framework for estimating TAM, adoption, and revenue for a new product launch in an untapped market.

revenue modelnew product launchMarket SizingOtsuka
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4
Metrics4 questions · ~36 min
Using Metrics to Drive DecisionsEasy
Recently asked

Explain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.

Funnel AnalysisKPIsLeading IndicatorsOtsuka
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5
Execution4 questions · ~36 min
Balancing Speed Quality and ScopeHard

Describe a time you had to choose between speed, quality, and scope, and how you aligned stakeholders around the trade-off.

Trade-offsRisk AssessmentScope ManagementOtsuka
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6
System Design3 questions · ~27 min
Design an LLM Serving PlatformHard

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingOtsuka
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7
More topics27 questions · ~245 min
Cloud AI Deployment Pipeline ExperienceMedium

Discuss experience building cloud-based AI pipelines, including orchestration, processing patterns, infrastructure choices, and data quality controls.

InfrastructureToolsQualityOtsuka
Discuss Data Analysis Tooling ChoicesEasy

Explain how SQL fits with data analysis and visualization tools, and when to use each in an analytics workflow.

JoinsData WranglingAggregationsOtsuka
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.