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An inventory table has records for each product's warehouse location and quantity on hand. Write a query to identify which warehouses have less than a 1 month supply of any given product.

Tell me about a time when you worked to improve the quality of a product / service / solution that was already getting good customer feedback. Why did you think it needed improvement? How did customers react?

Tell me about a time you used data to solve a problem?

What is surrogate key in data visualisation?

How do you determine which type of ML model to use when tackling a BI problem at Amazon?

Tell me about a time you were trying to understand a problem on your team and you had to go down several layers to figure it out. Who did you talk with and what info proved most valuable? How did you use that info to help solve the problem?

How do you deal with imbalanced datasets when building ML models for BI use cases?

Create a Python class that maintains a rolling average of the last N numbers added to it. The class should have methods to add a new number and retrieve the current rolling average.

How do you present statistical insights to people without a technical background?

When assessing the performance of a machine learning model at Amazon, what evaluation metrics would you consider, and how do you ensure that the chosen metrics align with the business goals and requirements?