SQL practice / Apple
Free SQL interview practice

Apple SQL interview questions. All free.

15 SQL practice questions in our Apple collection, part of our 188-question bank across 23 companies. Write SQL against practice datasets and get checked in your browser. Free, no card or trial.

No account needed to start. Draft SQL stays in this browser; create an account to sync solved history.

1 Easy · 10 Medium · 4 Hard

Independent practice resource. Not affiliated with or endorsed by Apple.

Inside the Apple set

SQL topics you can practice.

These topics come from the questions in this set. Pick one to open the matching problems.

Easy · 9 min

App Store Download Ranking

Rank apps by downloads within each category for March 15, 2026. Return category, rank, app_id, app_name, and downloads_today. Use RANK() so that ties share the same rank. Only show the top 5 apps per category.

Tables: app_downloads
Medium · 11 min

AirPods Purchase Patterns by Region

Analyze AirPods purchase patterns by region for Q1 2026 (Jan-Mar). For each region, calculate: total_units, total_revenue, avg_price, and the model mix as pct_airpods_pro, pct_airpods_max, and pct_airpods_3.

Tables: airpods_purchases
Hard · 14 min

Apple Music Listening Cohorts

Create a monthly cohort analysis for Apple Music. For users who signed up in January 2026, calculate total listening hours in each month: month 0 (signup month), month 1, and month 2. Return signup_month, user_count, m0_hours, m1_hours, m2_hours.

Tables: apple_music_users, listening_events
How it works

Solve in the browser. Checked instantly.

  1. 1
    Pick a problemPractice questions for data science and analytics interviews, each with its own tables, difficulty, and time target.
  2. 2
    Write and run SQLA full database engine loads in the tab. No setup, nothing to install — query the practice dataset immediately.
  3. 3
    Submit for a verdictPass and move to the next problem. Miss and you unlock the expected output and a reference solution.
AirPods Purchase Patterns by RegionApple

Your dataset

airpods_purchases

purchase_id (BIGINT) · customer_id (BIGINT) · model (VARCHAR) · region (VARCHAR) · purchase_date (DATE) · price_usd (DECIMAL)

Try this Apple question
15
Apple questions
188
questions in the full bank
$0
free access

Solve one now. Build your solved history.

Start free, no account needed. When you create one, everything you’ve solved comes with you — solved marks, streaks, and concept ratings on your dashboard.

Practice Apple SQL free

Create a free account to sync solved history →