Machine Learning Engineer + Data Scientist + Software Engineer 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."
Implement longest subarray summing to k
Given an integer array nums (length ≤ 200,000; values may be negative) and integer k, return the maximum length and the [l, r] indices of a contiguous...
Compute CTR and metrics with pandas
Using pandas only, compute banner and story metrics. Assume today is 2025-09-01 and 'last 7 days' means 2025-08-26 to 2025-09-01 inclusive. You are gi...
Define and compute shop visibility in SQL
You own the 'shop visibility' KPI for a marketplace. Define a precise metric and write SQL to compute it over the last 7 days (use today = 2025-09-01,...
Compute adoption, latency, and cross-region transactions
Invented schema: users(user_id INT PRIMARY KEY, user_region STRING, adopted_at TIMESTAMP NULL) transactions(txn_id INT PRIMARY KEY, user_id INT, txn_t...
Write SQL: sum values ≤ each row’s value
Given table numbers(id INT PRIMARY KEY, val INT), return for every row the sum of all val across the entire table that are ≤ that row’s val (i.e., com...
Manipulate data efficiently in Python
Answer the following: (a) Contrast list comprehensions and generators with respect to memory and evaluation; write a generator that yields rolling win...
Query conversion and retention with SQL windows
Schema and sample data (PostgreSQL): users(id, signup_date, country) 1 | 2025-08-20 | US 2 | 2025-08-25 | US 3 | 2025-08-27 | CA 4 | 2025-08-30 | US 5...
Explain SVM kernels and complexity
This question evaluates understanding of Support Vector Machines, including support vectors and primal/dual formulations, the kernel trick and why Gra...
Detect sequence rule and repair anomaly
Implement next_value(seq: list[int]) that detects the rule of a numeric sequence and returns a tuple (model_name, parameters, anomaly_index_or_None, n...
Write SQL to compare exclusive category engagement
You are given session-level data and must compare engagement between users who exclusively used the 'social' category versus those who exclusively use...
Aggregate weekly revenue and attribute 4% drop
Write SQL over the following schema to: (A) compute weekly revenue by ISO week (Monday–Sunday) from orders, excluding cancelled/refunded; revenue_usd ...
Increase posts receiving one comment
This question evaluates a data scientist's competency in product analytics and experimentation, specifically metric definition and guardrails, segment...
Match requests and accepts into friendships in SQL
Given two event tables, write a single SQL query (PostgreSQL) to output unique undirected friendships with the earliest valid friendship_date. Schema ...
Write SQL for shop visibility and activity metric
Assume 'today' is 2025-09-01. Schema and tiny samples: 1) shops(shop_id INT, created_at DATE) Sample: shop_id | created_at 1 | 2025-08-25 2 | 2025...
Compute rolling cold-delivery rates with windows
Assume a food-delivery platform with the following schema. Use PostgreSQL. A delivery is considered "cold" if food_temp_c < 40 at dropoff OR there is ...
Clean and aggregate factory event data in Pandas
You are given three Pandas DataFrames for a factory: (1) events[event_id, machine_id, ts_utc (datetime64[ns, UTC]), event_type in {'start','stop','fau...
Implement streaming k-way merge with constraints
Implement a function merge_k(iterators, N) that returns the first N items of the global ascending order from k sorted, potentially unbounded iterators...
Transform event logs with subscription windows in pandas
Using pandas, compute user-level subscription-aligned revenue and anomalies for September 2025. DataFrames: events(user_id:int, ts:UTC datetime, event...
Find top-spend categories per customer with ranking
Using the schema and sample data below, write a single ANSI SQL query (CTEs allowed; no temp tables) that returns, for each customer, their top 2 prod...
Compute unread and multi-account user percentages
You’re given two tables. Write ANSI-SQL to answer parts (a)–(d). Treat a notification as unread if read_at IS NULL. Denominator for user-level percent...