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Please explain the steps you take to turn raw data into something that a machine learning algorithm can interpret.

Describe a time when you failed at work.

How do you track data to confirm whether a marketing channel is performing well or not?

If a product launch is imminent, but the usage metrics are dropping, what would be your recommended course of action?

Could you present a design for a song information database, including tables, attributes, and their datatypes?

What tools or models do you utilize to forecast a user's lifetime value?

Can you tell me about a time when you had multiple competing priorities? How did you handle it?

Can you detail how Gradient Descent is utilized in the training process of deep learning models?

Could you explain why you believe Databricks is the right fit for you?

Suppose you have two tables, "orders" and "customers", where "orders" contains information about orders and "customers" contains information about customers. Write an SQL query that calculates the average order value for each customer who has made at least 3 orders in the last month, and only includes customers who are located in the United States. The query should require a join between the two tables.