Whiteboard Session: Solving a Classification Problem

Interviewers want to know how you think. In this whiteboard session, you’ll demonstrate your ability to build a full-stack ML solution for a real-world fraud detection problem, from ingestion to monitoring. Let’s get started.

Real-time fraud detection

You’re working on a project to develop a machine learning solution for fraud detection in financial transactions. This involves identifying potentially fraudulent activities in real time by analyzing transactional data from various sources. Key requirements for this solution include:

• High accuracy

• Scalability

• Real-time data processing

• Robust monitoring capabilities to detect data drift and maintain model performance.

Can you describe your approach to building and deploying this solution? Present your strategy on a whiteboard.

Sample answer

Let’s explore a sample answer demonstrating a comprehensive understanding of ML infrastructure and illustrating end-to-end pipeline design thinking. You’re welcome to consider how technologies you are familiar with may substitute for the options mentioned here.

The figure below outlines the workflow we will define: