Design Mint.com | Dataford Interview Questions

Your question is Design Mint.com. Take a moment with it on the right.

Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).

Problem

Design mint.com.

Asked in the system design stage. Clarify the primary ML capabilities and operational requirements before proposing an architecture. The interviewer also asked about a logs-based monitoring system for the design.

Address:

Product and ML requirements, including transaction ingestion, categorization, personalization, and anomaly detection.
Scale, latency, availability, freshness, and compliance assumptions.
Offline data and training pipelines plus online inference and feature serving.
Model choices, evaluation, drift, training-serving skew, and failure handling.
How you would add logs-based monitoring and alerting.

Reported follow-up: How would you add a logs-based monitoring / alerting system to this design?

Your question is Design Mint.com. Take a moment with it on the right.

Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).

Design mint.com.

Address:

Product and ML requirements, including transaction ingestion, categorization, personalization, and anomaly detection.
Scale, latency, availability, freshness, and compliance assumptions.
Offline data and training pipelines plus online inference and feature serving.
Model choices, evaluation, drift, training-serving skew, and failure handling.
How you would add logs-based monitoring and alerting.

Reported follow-up: How would you add a logs-based monitoring / alerting system to this design?