Data Analysis and Requirements Translation Questions
Focuses on translating ambiguous business questions into concrete data analysis plans. Candidates should identify the data points required, define metrics and key performance indicators, state assumptions to validate, design the analysis steps and queries, and explain how analysis results map back to business decisions. This includes data quality considerations, required instrumentation, and how analytical findings influence product requirements or architectural choices.
EasyTechnical
0 practiced
When analytic queries over raw event logs are cost-prohibitive, sampling can help. Describe three sampling strategies (simple random sampling, stratified sampling, reservoir sampling), explain how to compute unbiased conversion rate estimates from each, and state scenarios where sampling is unacceptable for decision-making.
HardSystem Design
0 practiced
Design a multi-region data collection and aggregation strategy so global KPIs are correct, while supporting low-latency regional dashboards and eventual consistency. Address user unique IDs, idempotent event_ids, deduplication, timezone handling, central roll-up vs regional aggregation, and periodic reconciliation to detect double-counting when users cross regions.
EasyTechnical
0 practiced
Given two tables:impressions(impression_id, user_id, impression_ts)purchases(purchase_id, user_id, product_id, purchase_ts, amount)Write an ANSI SQL query to compute daily conversion rate = unique_users_with_purchase_within_7_days_of_impression / unique_daily_impressions. Ensure deduplication so multiple impressions or purchases by the same user do not inflate the rate, and document assumptions.
MediumTechnical
0 practiced
Define SLOs for a product recommendation API that balance business needs (recommendation quality) and technical constraints (latency, availability). Propose measurable SLOs for both sides, explain how you'd measure them (metrics, aggregation windows), and describe escalation procedures when SLOs are violated.
HardSystem Design
0 practiced
Design an end-to-end analytics plan to measure trial-to-paid conversion for a global freemium product with multi-currency subscriptions. Include event schema (trial-start, trial-end, subscription-purchase), cohort and attribution windows, currency conversion strategy, handling VAT/taxes and refunds, fraud filters, and an SQL outline for net revenue and conversion rate calculations.
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