SQL Interview Questions
SQL is the first thing nearly every data interview tests, usually around window functions, conditional logic and dates. These 120+ questions come from 37 companies. Start solving and check your level of preparation.
By topic
By company
Amazon15
Walmart10
Stripe8
Target8
Best Buy7
Coinbase4
Datadog4
Flipkart4
PhonePe4
Spotify4
Swiggy4
Zerodha4
Atlassian3
Blinkit3
DraftKings3
Meta3
Myntra3
Netflix3
Nykaa3
Salesforce3
Shopify3
Uber3
Airbnb2
Capital One2
DoorDash2
Google2
Mastercard2
Visa2
Etsy1
Instacart1
LinkedIn1
Lyft1
Microsoft1
Pinterest1
Robinhood1
Workday1
Zillow1
All the questions
- Active productsSQLTargeteasy
- Clearance candidatesSQLTargeteasy
- Completed trips by hour of daySQLUbereasy
- Customers outside the US and MexicoSQLWalmarteasy
- Electronics and accessoriesSQLBest Buyeasy
- Even-numbered ordersSQLBest Buyeasy
- Hires per yearSQLLinkedIneasy
- In-stock electronicsSQLBest Buyeasy
- Inventory valueSQLWalmarteasy
- Large orders with customer namesSQLAmazoneasy
- Order amount with taxSQLStripeeasy
- Orders above the averageSQLWalmarteasy
- Orders by statusSQLTargeteasy
- Orders in a price rangeSQLStripeeasy
- Orders per customerSQLTargeteasy
- Orders placed in March 2024SQLBest Buyeasy
- Price bandsSQLAmazoneasy
- Pro productsSQLBest Buyeasy
- Products launched in 2024SQLTargeteasy
- Products under 50SQLWalmarteasy
- Products with no brandSQLAmazoneasy
- Salary against department totalSQLMicrosofteasy
- Show missing discounts as zeroSQLTargeteasy
- Stock statusSQLAmazoneasy
- Surge share by citySQLLyfteasy
- Total completed revenueSQLWalmarteasy
- Unfinished orders over 50SQLTargeteasy
- Average reactions per post typeSQLMetamedium
- Average sales cycleSQLSalesforcemedium
- Back to back repeatsSQLSpotifymedium
- Big orders or a loyal customerSQLBest Buymedium
- Busiest stock per clientSQLZerodhamedium
- Cancellation rate by room typeSQLAirbnbmedium
- Cancellation split by restaurantSQLSwiggymedium
- Cheapest channel per campaignSQLNykaamedium
- Completed versus other ordersSQLStripemedium
- Completion rate by content typeSQLNetflixmedium
- Counting what is recordedSQLWalmartmedium
- Customers with repeat ordersSQLTargetmedium
- Customers without ordersSQLAmazonmedium
- Daily returnSQLCoinbasemedium
- Damage share of refundsSQLFlipkartmedium
- Day over day swingSQLPremiumSwiggymedium
- Days from signup to first orderSQLStripemedium
- Deepest cut per productSQLMyntramedium
- Delivery time by cuisineSQLDoorDashmedium
- Department headcount and paySQLSalesforcemedium
- Employee senioritySQLGooglemedium
- Employees and their managersSQLWorkdaymedium
- Everyone in the top threeSQLDraftKingsmedium
- Fare per kilometer by citySQLUbermedium
- High credit utilizationSQLCapital Onemedium
- Hours between scansSQLAmazonmedium
- How often it ran outSQLBlinkitmedium
- Listening time so farSQLSpotifymedium
- Low-rated driversSQLUbermedium
- Merchants with high fraud ratesSQLMastercardmedium
- Missed minimum paymentsSQLPremiumCapital Onemedium
- Money moved by payment typeSQLPhonePemedium
- Money moved so farSQLPremiumPhonePemedium
- Net balance by accountSQLStripemedium
- Nights booked per citySQLAirbnbmedium
- Open positions by userSQLRobinhoodmedium
- Order sequence per customerSQLWalmartmedium
- Orders from enterprise customersSQLAmazonmedium
- Orders per calendar monthSQLWalmartmedium
- Orders per customer segmentSQLAmazonmedium
- Packages still movingSQLAmazonmedium
- Plan changesSQLShopifymedium
- Points above the contest averageSQLDraftKingsmedium
- Position after each tradeSQLZerodhamedium
- Price after discountSQLWalmartmedium
- Price dropsSQLPremiumMyntramedium
- Price moved since last tradeSQLPremiumZerodhamedium
- Price per square foot by citySQLZillowmedium
- Prime vs. standard order valueSQLAmazonmedium
- Priority mix per projectSQLAtlassianmedium
- Prize ranks with tiesSQLDraftKingsmedium
- Quiet time between incidentsSQLDatadogmedium
- Refunds so farSQLPremiumFlipkartmedium
- Returns by reasonSQLPremiumFlipkartmedium
- Revenue against targetSQLPremiumSwiggymedium
- Revenue by countrySQLStripemedium
- Revenue to date per merchantSQLShopifymedium
- Salary rank within departmentSQLNetflixmedium
- Severity mix per serviceSQLDatadogmedium
- Slowest ticket per projectSQLAtlassianmedium
- Spend by channelSQLPremiumNykaamedium
- Spend to dateSQLPremiumNykaamedium
- Stage times per packageSQLAmazonmedium
- Subtasks that outlived the parentSQLPremiumAtlassianmedium
- The busiest customerSQLAmazonmedium
- Three day averageSQLCoinbasemedium
- Top partners per citySQLPremiumSwiggymedium
- Top reason per categorySQLPremiumFlipkartmedium
- Top track per listenerSQLSpotifymedium
- Verified rating by shopSQLEtsymedium
- Weekend ordersSQLWalmartmedium
- Win rate by sales repSQLPremiumSalesforcemedium
- Averages that skip NULLsSQLAmazonhard
- Card-testing patternsSQLPremiumMastercardhard
- Compare with the previous orderSQLBest Buyhard
- Cross-border share by card tierSQLVisahard
- Drawdown from the peakSQLCoinbasehard
- Each user's top categorySQLPremiumPinteresthard
- Every stockout windowSQLPremiumBlinkithard
- Failures in a rowSQLPremiumPhonePehard
- Highest paid in each departmentSQLMetahard
- Incidents that overlappedSQLDatadoghard
- Listening sessionsSQLPremiumSpotifyhard
- Longest price holdSQLPremiumMyntrahard
- Longest rising streakSQLCoinbasehard
- Longest stockout runSQLBlinkithard
- Merged outage windowsSQLDatadoghard
- Minutes from order to doorstepSQLPremiumInstacarthard
- Month-over-month spend changeSQLPremiumVisahard
- Monthly completed revenueSQLStripehard
- Most-watched title in each countrySQLPremiumNetflixhard
- Paid above the department averageSQLGooglehard
- Posting on consecutive daysSQLPremiumMetahard
- Retries before it workedSQLPremiumPhonePehard
- Running revenue over timeSQLStripehard
- Slowest package per facilitySQLAmazonhard
- The day the position closedSQLPremiumZerodhahard
- Top restaurant in each citySQLPremiumDoorDashhard
- Top spending customersSQLAmazonhard
- Unbroken runs of monthsSQLShopifyhard
Questions last reviewed 19 October 2026.