Mobile App User Session Continuation Patterns

Company:Netflix
Dawn AI

Welcome to Interview Master! 👋

I'm here to help you practice Mobile App User Session Continuation Patterns - a Data interview question from Netflix.

Problem Overview

As a Data Analyst on the Netflix Mobile Experience team, you are investigating how users resume watching shows on mobile devices to enhance the seamless viewing experience. Your goal is to analyze user engagement through resume events, understand the distribution of these events per user, and identify the most popular shows for resumption on different mobile platforms. This analysis will help product managers optimize the app's resume functionality and reduce friction in content consumption.

This problem will test your SQL or Python skills in:

  • Writing and optimizing code
  • Data analysis and manipulation
  • Real-world database scenarios used in Netflix interviews

What You'll Learn

By solving this Netflix interview question, you'll gain experience with:

  • Writing efficient SQL queries or Python code for production databases
  • Understanding complex data relationships and schema design
  • Applying SQL or Python (your choice!) in a Netflix-style technical interview setting
  • Problem-solving techniques used by data scientists and analysts at top tech companies

Getting Started

Use the code editor on the right to:

  1. Explore the database schema and table structures
  2. Write and test your SQL or Python (your choice!) queries in a real coding environment
  3. Get instant feedback on your query results
  4. Learn from hints and detailed explanations

Ready to practice this Netflix Data challenge? Let's dive in! 🚀

I'm ready to work on this Netflix interview problem. Can you break down the requirements for me?

Dawn AI

Excellent! Let's break down "Mobile App User Session Continuation Patterns" step by step.

Problem Analysis

Company: Netflix
Problem Type: Data Science Interview Question
Skill Level: Professional interview preparation

Key Requirements

As a Data Analyst on the Netflix Mobile Experience team, you are investigating how users resume watching shows on mobile devices to enhance the seamless viewing experience. Your goal is to analyze user engagement through resume events, understand the distribution of these events per user, and identify the most popular shows for resumption on different mobile platforms. This analysis will help product managers optimize the app's resume functionality and reduce friction in content consumption.

Approach Strategy

For this Netflix interview question, consider:

  1. Data Exploration: Start by examining the table schemas to understand the data relationships
  2. Query Planning: Think about which tables you'll need to JOIN and what conditions to apply
  3. Code Optimization: Consider performance implications for large datasets (important for Netflix scale)
  4. Edge Cases: Think about NULL values, duplicate data, and boundary conditions

Next Steps

  1. Click on the "Schema" tab in the code editor to examine the table structures
  2. Review the sample data to understand the data patterns
  3. Start with a basic SELECT statement and build complexity gradually
  4. Test your query and iterate based on the results

This type of problem is commonly asked in Netflix technical interviews for data analyst, data scientist, and software engineer positions. Take your time to understand the problem thoroughly before writing your solution.

Ready to start coding? 💻

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Current Question

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For the week from October 1st to October 7th, 2024, how many total resume events occurred on mobile devices? This analysis will help the Netflix Mobile Experience team evaluate overall user engagement during content resumption.

Tables

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fct_user_resumptions (user_id, device_type, show_title, resumption_timestamp)
Ready to start practicing?