Microsoft ML System Design Interview Questions
Practice the exact questions companies are asking right now.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Design Chatbot Personalization Memory
This question evaluates competency in designing per-user chatbot memory systems, including data modeling for durable memories, retrieval-augmented gen...
Design Product-Description Content Moderation at Marketplace Scale
Prompt Design a system that detects and handles inappropriate text in seller-uploaded product descriptions for a marketplace containing billions of pr...
Design a RAG system with agentic tools
Design a Retrieval-Augmented Generation (RAG) question-answering system for an enterprise knowledge base. Requirements: - Users ask natural-language q...
Design a Product Search System
Design a product search system for a large e-commerce marketplace. Users enter free-text queries such as wireless headphones, apply filters such as pr...
Design a RAG Ranking Pipeline
This question evaluates expertise in retrieval-augmented generation, information retrieval and ranking, indexing and offline data pipelines, model int...
Design quality checks for spreadsheet LLM data
This question evaluates a candidate's competency in designing data-quality validation pipelines and in assessing the need for fine-tuning of pretraine...
Calibrate LLM output to match Word formatting
This question evaluates a candidate's ML system design skills for calibrating large language model outputs to strict document formatting schemas, cove...
Explain Transformers and deploy an LLM safely
Answer the following LLM-focused questions. 1) Transformer basics - What problem does the Transformer architecture solve compared with RNNs? - Explain...
Design a RAG-based assistant service
This question evaluates system-design and machine-learning engineering competencies related to Retrieval-Augmented Generation, including architecture ...
Optimize vector semantic search for an assistant
This question evaluates a candidate's competency in designing production-grade vector semantic search systems, including embedding model selection and...
Design a video VLM end-to-end
This question evaluates a candidate's competency in end-to-end design of video vision-language models (VLMs), covering data strategy, model architectu...
Design email ranking and summarization in Outlook
This question evaluates proficiency in designing end-to-end machine learning systems for personalized email ranking and abstractive summarization, enc...
Infer user intent from typing in real time
This question evaluates machine learning system design competency in streaming, low-latency intent inference from typing and UI context, covering priv...