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Amazon Interview Problems (99)

Problems reported from Amazon data science interviews

Status Title Difficulty
Coin Change Minimum Pro Hard
Collaborative Filtering Cold Start Pro Hard
Database Indexing with B-Trees Pro Hard
Date-Based Cohort Analysis Pro Hard
Dealing with Data Quality Issues Pro Hard
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Distributed Computing Challenges Pro Hard
Generate Permutations Pro Hard
Hash Map from Scratch Pro Hard
Information Extraction Pipelines Pro Hard
Kernel Density Estimation Pro Hard
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LAG and LEAD for Sequential Comparison Pro Hard
Latest Order Per Customer Using Join and Subquery Pro Hard
Merge K Sorted Lists Pro Hard
Model Drift and Retraining Pro Hard
Model Serving: TorchServe and TF Serving Pro Hard
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Moving Average with Window Frame Pro Hard
Orders Exceeding Customer Lifetime Average Pro Hard
PERCENT_RANK for Distribution Analysis Pro Hard
Revenue Contribution by Region With Rollup Pro Hard
Running Total Pro Hard
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Self Join: Employees Earning More Than Their Manager Pro Hard
Spiral Matrix Traversal Pro Hard
Top Earning Product in Each Category Using Subquery Pro Hard
Top Spending Customer Per Product Category Pro Hard
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