Datasets:

build-small-hackathon
/

question_type_steps_train

prompt stringlengths 36 69	completion stringlengths 72 123
How would you design a URL shortener like bit.ly?	Type: System Design Steps: Clarify scale → High-level components → Deep dive → Bottlenecks → Tradeoffs
Design a rate limiter for a public API.	Type: System Design Steps: Clarify scale → High-level components → Deep dive → Bottlenecks → Tradeoffs
How would you architect a notification system for a banking app?	Type: System Design Steps: Clarify scale → High-level components → Deep dive → Bottlenecks → Tradeoffs
Design a distributed cache like Redis.	Type: System Design Steps: Clarify scale → High-level components → Deep dive → Bottlenecks → Tradeoffs
How would you build a real-time leaderboard for a gaming platform?	Type: System Design Steps: Clarify scale → High-level components → Deep dive → Bottlenecks → Tradeoffs
Design a search autocomplete system.	Type: System Design Steps: Clarify scale → High-level components → Deep dive → Bottlenecks → Tradeoffs
How would you design a ride-sharing service like Uber?	Type: System Design Steps: Clarify scale → High-level components → Deep dive → Bottlenecks → Tradeoffs
How would you design Spotify for rural areas with poor connectivity?	Type: Product Design Steps: Clarify scope → Identify users → Map pain points → Propose solution → Define metrics
How would you improve the onboarding experience for a fintech app?	Type: Product Design Steps: Clarify scope → Identify users → Map pain points → Propose solution → Define metrics
Design a feature to help elderly users navigate a mobile banking app.	Type: Product Design Steps: Clarify scope → Identify users → Map pain points → Propose solution → Define metrics
How would you design YouTube for blind users?	Type: Product Design Steps: Clarify scope → Identify users → Map pain points → Propose solution → Define metrics
How would you redesign the checkout flow for an e-commerce app?	Type: Product Design Steps: Clarify scope → Identify users → Map pain points → Propose solution → Define metrics
Design a feature to reduce churn in a subscription app.	Type: Product Design Steps: Clarify scope → Identify users → Map pain points → Propose solution → Define metrics
How would you design Airbnb for pets?	Type: Product Design Steps: Clarify scope → Identify users → Map pain points → Propose solution → Define metrics
How would you handle class imbalance in a fraud detection model?	Type: Data Science Steps: Check base rate → Choose right metric → Handle imbalance → Tune threshold → Evaluate
How would you detect anomalies in a time series dataset?	Type: Data Science Steps: Define anomaly → Explore data → Choose method → Evaluate → Production concerns
Walk me through building a churn prediction model.	Type: Data Science Steps: Define churn → Feature engineering → Baseline model → Iterate → Deploy
How would you evaluate a recommender system?	Type: Data Science Steps: Define metric → Offline eval → A/B test → Business impact → Monitor
How would you approach a dataset with 40% missing values?	Type: Data Science Steps: Understand missingness → Explore patterns → Imputation strategy → Validate → Document
How would you build a model to predict customer lifetime value?	Type: Data Science Steps: Define CLV → Feature engineering → Baseline model → Iterate → Deploy
How would you select features for a high-dimensional dataset?	Type: Data Science Steps: Understand data → Correlation analysis → Feature importance → Dimensionality reduction → Validate
How would you build a RAG pipeline for a customer support chatbot?	Type: AI Engineering Steps: Define retrieval scope → Chunking strategy → Embedding model → Retrieval + rerank → Evaluate
How would you reduce hallucinations in an LLM-based application?	Type: AI Engineering Steps: Identify sources → Grounding strategy → Prompt engineering → Evaluation → Monitoring
How would you fine-tune an LLM for a specific domain?	Type: AI Engineering Steps: Define task → Curate data → Choose method → Train → Evaluate → Deploy
How would you evaluate the quality of a RAG system?	Type: AI Engineering Steps: Define metrics → Retrieval eval → Generation eval → End-to-end eval → Monitor drift
How would you deploy an LLM with sub-100ms latency requirements?	Type: AI Engineering Steps: Clarify latency budget → Quantisation → Runtime choice → Caching → Load test
How would you implement guardrails for an LLM in production?	Type: AI Engineering Steps: Define risks → Input filtering → Output validation → Monitoring → Escalation
How would you handle prompt injection attacks in an LLM app?	Type: AI Engineering Steps: Define threat model → Input sanitisation → Prompt hardening → Detection → Response
Tell me about a time you disagreed with your manager.	Type: Behavioural Steps: Situation → Task → Action → Result → Reflection
Give me an example of when you had to deliver under a tight deadline.	Type: Behavioural Steps: Situation → Task → Action → Result → Reflection
Describe a time you failed and what you learned from it.	Type: Behavioural Steps: Situation → Task → Action → Result → Reflection
Tell me about a time you had to influence without authority.	Type: Behavioural Steps: Situation → Task → Action → Result → Reflection
Give an example of a time you handled ambiguity well.	Type: Behavioural Steps: Situation → Task → Action → Result → Reflection
Tell me about a time you took ownership of a failing project.	Type: Behavioural Steps: Situation → Task → Action → Result → Reflection
Describe a situation where you had to learn something quickly.	Type: Behavioural Steps: Situation → Task → Action → Result → Reflection
How many piano tuners are there in London?	Type: Estimation Steps: Clarify → Decompose → Anchor number → Calculate → Sanity check
How many WhatsApp messages are sent per day globally?	Type: Estimation Steps: Clarify → Decompose → Anchor number → Calculate → Sanity check
Estimate the storage required for all photos on Instagram.	Type: Estimation Steps: Clarify → Decompose → Anchor number → Calculate → Sanity check
How many Ubers are active in London at 9am on a Monday?	Type: Estimation Steps: Clarify → Decompose → Anchor number → Calculate → Sanity check
How much revenue does a McDonald's in central London make per year?	Type: Estimation Steps: Clarify → Decompose → Anchor number → Calculate → Sanity check
How many golf balls fit in a Boeing 747?	Type: Estimation Steps: Clarify → Decompose → Anchor number → Calculate → Sanity check
Estimate the number of software developers in the world.	Type: Estimation Steps: Clarify → Decompose → Anchor number → Calculate → Sanity check

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