How do I approach ML System Design interview questions?

ML System Design questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master ml system design interviews.

What difficulty level is this interview question?

This is a medium difficulty ML System Design question, commonly asked during Onsite rounds at Microsoft.

What role is this question designed for?

This question is commonly asked for Machine Learning Engineer candidates at Microsoft during technical interviews.

Design a RAG-based assistant service

Last updated: Mar 29, 2026

Quick Overview

This question evaluates system-design and machine-learning engineering competencies related to Retrieval-Augmented Generation, including architecture for retrieval and indexing, access control and tenant isolation, freshness and observability, citation and hallucination mitigation, and safety/PII handling.

|Home/ML System Design/Microsoft

Design a RAG-based assistant service

Microsoft

Jan 6, 2026, 12:00 AM

mediumMachine Learning EngineerOnsiteML System Design

Submit Your Answer to Earn 20XP

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Design a RAG-based assistant service

Last updated: Mar 29, 2026

Quick Overview

|Home/ML System Design/Microsoft

Design a RAG-based assistant service

Microsoft

Jan 6, 2026, 12:00 AM

mediumMachine Learning EngineerOnsiteML System Design

Submit Your Answer to Earn 20XP

Loading comments...

Browse More Questions

More ML System Design•More Microsoft•More Machine Learning Engineer•Microsoft Machine Learning Engineer•Microsoft ML System Design•Machine Learning Engineer ML System Design

Your design canvas — auto-saved