Databricks Data Scientist Interview Questions
Practice the exact questions companies are asking right now.

"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."
"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."
Relate coefficients under linear feature transformation
Answer both parts. Part 1: Coefficients under feature transformation You have original predictors \(x_1, x_2\) and define transformed predictors: - \(...
Compare ROC-AUC vs PR-AUC
Explain the difference between ROC-AUC and PR-AUC (Average Precision / area under the Precision–Recall curve). In your answer, cover: 1. What each cur...
Find top-5 most similar rows across datasets
You can solve this in SQL or Python. You are given two datasets with the same feature columns: Tables target_rows (rows you want to match) - target_id...
Count weekly customers with ≥$1000 YTD spend
You are given a transaction-level table and need to compute a weekly time series. Table transactions - date (DATE) — transaction date (assume UTC and ...
Test if coin is fair from 560 tails
You flip a coin n = 1000 times and observe 560 tails. At significance level α = 0.05, test whether the coin is fair. Requirements: - State the null an...
Explain Linear Regression Feature Transformation Equivalence
Linear Regression Feature Representations and High-Dimensional Modelling Context You are evaluating two linear regression specifications that use diff...
Calculate Second-Degree Followers for Each YouTuber
following +----------+----------+ | YouTuber | follower | +----------+----------+ | A | B | | A | C | | B | D ...