Uploaded June 2026 | Updated September 2026, 4 hours ago
Struggling with advanced SQL interview questions for data roles? Youβre not alone. In this video, we break down a real Amazon SQL interview question: How to calculate the Day 1 retention rate for video game players.
Most data analysts and engineers get this question completely wrong. Itβs not because the SQL code itself is overly complicated β itβs because they fall into sneaky optimization traps and metric definition pitfalls that instantly signal a lack of seniority to FAANG interviewers.
π Key Takeaways for Your Interview
To pass a FAANG interview, writing code isn't enough β you have to explain the why. Interviewers grade you on three pillars: defining the metric correctly, implementing the proper join/denominator logic, and interpreting the real-world business meaning.
1. The Base CTE: Always compute the user's earliest login firstβit's the foundation of almost every retention query.
2. The Left Join Rule: Always use a `LEFT JOIN` when looking for day-after activity so users who didn't return stay in your denominator.
3. The Seniority Phrase: Mentioning how to filter out users who haven't reached the maturity threshold (avoiding survivorship bias) signals senior-level data expertise without you even having to code it unprompted.
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Ready to try it yourself? Practice coding and interpretation with this retention interview question π platform.stratascratch.com/coding/2090-first-day-retention-rate?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+wrong+retention+in+sql
π Full article: stratascratch.com/blog/retention-in-sql-how-to-calculate-user-and-cohort-retention?utm_source=youtube&utm_medium=click&utm_campaign=YT+wrong+retention+in+sql
___________________________________
π Resources to Level Up Your Data Science Career
π Join our channel for no-BS data science advice : bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: bit.ly/3jifw81
π Playlist for data science interview tips: bit.ly/2G5hNoJ
π Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
π Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+wrong+retention+in+sql
______________________________________________________________________
π Video Timeline:
0:00 - The Amazon SQL Interview Question
0:20 - The Retention Formula & Churn Pitfalls
1:05 - Step 1: Building the Base CTE (Earliest Login)
1:23 - Step 2: The Critical Left Join (Avoiding Inflated Metrics)
1:45 - How to Avoid Survivorship Bias (The Day 30 Problem)
2:20 - Upgrading to Cohort Retention (What PMs Actually Want)
3:00 - The 3 Things Interviewers Look For
______________________________________________________________________
About StrataScratch:
StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+wrong+retention+in+sql) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+wrong+retention+in+sql. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.
______________________________________________________________________
π§ Contact Us: Got questions or feedback? Drop them in the comments or email us at team@stratascratch.com.
_____________________________________________________________________
#SQLInterview #AmazonInterview #DataAnalyst #DataScience #SQLQueries #FAANGPreparation #CohortAnalysis #TechInterview #retention #sql
Struggling with advanced SQL interview questions for data roles? Youβre not alone. In this video, we break down a real Amazon SQL interview question: How to calculate the Day 1 retention rate for video game players.
Most data analysts and engineers get this question completely wrong. Itβs not because the SQL code itself is overly complicated β itβs because they fall into sneaky optimization traps and metric definition pitfalls that instantly signal a lack of seniority to FAANG interviewers.
π Key Takeaways for Your Interview
To pass a FAANG interview, writing code isn't enough β you have to explain the why. Interviewers grade you on three pillars: defining the metric correctly, implementing the proper join/denominator logic, and interpreting the real-world business meaning.
1. The Base CTE: Always compute the user's earliest login firstβit's the foundation of almost every retention query.
2. The Left Join Rule: Always use a `LEFT JOIN` when looking for day-after activity so users who didn't return stay in your denominator.
3. The Seniority Phrase: Mentioning how to filter out users who haven't reached the maturity threshold (avoiding survivorship bias) signals senior-level data expertise without you even having to code it unprompted.
___________________________________
Ready to try it yourself? Practice coding and interpretation with this retention interview question π platform.stratascratch.com/coding/2090-first-day-retention-rate?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+wrong+retention+in+sql
π Full article: stratascratch.com/blog/retention-in-sql-how-to-calculate-user-and-cohort-retention?utm_source=youtube&utm_medium=click&utm_campaign=YT+wrong+retention+in+sql
___________________________________
π Resources to Level Up Your Data Science Career
π Join our channel for no-BS data science advice : bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: bit.ly/3jifw81
π Playlist for data science interview tips: bit.ly/2G5hNoJ
π Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
π Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+wrong+retention+in+sql
______________________________________________________________________
π Video Timeline:
0:00 - The Amazon SQL Interview Question
0:20 - The Retention Formula & Churn Pitfalls
1:05 - Step 1: Building the Base CTE (Earliest Login)
1:23 - Step 2: The Critical Left Join (Avoiding Inflated Metrics)
1:45 - How to Avoid Survivorship Bias (The Day 30 Problem)
2:20 - Upgrading to Cohort Retention (What PMs Actually Want)
3:00 - The 3 Things Interviewers Look For
______________________________________________________________________
About StrataScratch:
StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+wrong+retention+in+sql) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+wrong+retention+in+sql. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.
______________________________________________________________________
π§ Contact Us: Got questions or feedback? Drop them in the comments or email us at team@stratascratch.com.
_____________________________________________________________________
#SQLInterview #AmazonInterview #DataAnalyst #DataScience #SQLQueries #FAANGPreparation #CohortAnalysis #TechInterview #retention #sql

![How To Handle Multicollinearity and Feature Selection [DoorDash Data Science Project]
In this video, well give you a brief introduction to multicollinearity and feature selection, and show you how to solve the problem using a variety of methods. Well be using the DoorDash data science project to demonstrate how to apply these concepts in practice. In addition, well use the Random Forest regression method to determine which features are most important for predicting delivery times.
Watch our previous videos:
π Part 1: Data Preparation for Modeling: https://youtu.be/Sf6jn8QZHhc
π Part 2: Collinearity and Removing Redundancies: https://youtu.be/m3zEV10qvE8
π§βπ» Go to the project through the link below and follow along with me: https://platform.stratascratch.com/data-projects/delivery-duration-prediction?utm_source=youtube&utm_medium=click&utm_campaign=multicollinearity+%26+feature+selection
π Subscribe to my channel: https://bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
π Playlist for data science interview tips: https://bit.ly/2G5hNoJ
π Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
Timeline:
Intro: (0:00βββ)
Quick recap: (0:25)
Removing multicollinearity: (0:48)
Feature selection (2:56)
Conclusion: (β8:17)
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link), a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com
#StrataScratch #DoordashDataProject #DataModeling #Python How To Handle Multicollinearity and Feature Selection [DoorDash Data Science Project]](https://i.ytimg.com/vi/gh5JzALBQvU/mqdefault.jpg)





![Data Science SQL Interview Question Walkthrough [Microsoft] - Window Function: Ranking
This Data Science SQL interview question is from Microsoft, and tests your ability to write window functions to rank data. Iβll walk you through solving the question like weβre in an interview and give you some tips on how to approach the solution.
Go to the question through the link below and follow along with me.
Link to the question: https://platform.stratascratch.com/coding/2026-bottom-2-companies-by-mobile-usage?python=&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
π Subscribe to my channel: https://bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
π Playlist for data science interview tips: https://bit.ly/2G5hNoJ
π Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
Timeline:
Intro: (0:00βββ)
Interview Question: (0:31ββ)
Framework to solve the problem: (1:25βββ)
Understand your data: (2:33βββ)
Formulate your approach: (5:05βββ)
Code Execution: (7:09βββ)
Code Optimization: (15:54βββ)
Conclusion: (18:10βββ)
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link), a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com
#MicrosoftDataScienceInterview Data Science SQL Interview Question Walkthrough [Microsoft] - Window Function: Ranking](https://i.ytimg.com/vi/i-E4pdU2qXM/mqdefault.jpg)


