BECOME SQL CHAMPION - PART-2
SOLVE SQL QUERIES ASKED IN PRODUCT BASED COMPANIES

BECOME SQL CHAMPION - PART-2 udemy course
SOLVE SQL QUERIES ASKED IN PRODUCT BASED COMPANIES
MORE THAN 100 + SQL QUERIES ASKED IN FAANG AND MAANG - PRODUCT BASED COMPANIES - WITH SOLUTIONS
1 Signup Activation Rate [TikTok SQL Interview Question]
2 Supercloud Customer [Microsoft SQL Interview Question]
3 Card Launch Success [JPMorgan Chase SQL Interview Question]
4 Pharmacy Analytics (Part 4) [CVS Health SQL Interview Question]
5 First Transaction [Etsy SQL Interview Question]
6 Photoshop Revenue Analysis [Adobe SQL Interview Question]
7 Pharmacy Analytics (Part 2) [CVS Health SQL Interview Question]
8 Pharmacy Analytics (Part 1) [CVS Health SQL Interview Question]
9 Pharmacy Analytics (Part 3) [CVS Health SQL Interview Question]
10 Pharmacy Analytics (Part 4) [CVS Health SQL Interview Question]
11 LinkedIn Power Creators (Part 2) [LinkedIn SQL Interview Question]
12 Email Table Transformation [Facebook SQL Interview Question]
13 Average Deal Size (Part 2) [Salesforce SQL Interview Question]
14 Y-on-Y Growth Rate [Wayfair SQL Interview Question]
15 User Shopping Sprees [Amazon SQL Interview Question]
16 2nd Ride Delay [Uber SQL Interview Question]
17 Histogram of Users and Purchases [Walmart SQL Interview Question]
18 User Session Activity [Twitter SQL Interview Question]
19 Unique Money Transfer Relationships [PayPal SQL Interview Question]
20 ApplePay Volume
21 Uniquely Staffed Consultants [Accenture SQL Interview Question]
22 Senior Managers [Google SQL Interview Question]
23 Sending vs. Opening Snaps [Snapchat SQL Interview Question]
24 Data Science Skills [LinkedIn SQL Interview Question]
25 Histogram of Tweets [Twitter SQL Interview Question]
26 Average Post Hiatus (Part 1) [Facebook SQL Interview Question]
27 Laptop vs. Mobile Viewership [New York Times SQL Interview Question]
28 Teams Power Users [Microsoft SQL Interview Question]
29 Duplicate Job Listings [Linkedin SQL Interview Question]
30 Cities With Completed Trades [Robinhood SQL Interview Question]
31 Final Account Balance [Paypal SQL Interview Question]
32 QuickBooks vs TurboTax [Intuit SQL Interview Question]
33 App Click-through Rate (CTR) [Facebook SQL Interview Question]
34 User's Third Transaction [Uber SQL Interview Question]
35 Active User Retention [Facebook SQL Interview Question]
36 Webinar Popularity [Snowflake SQL Interview Question]
37 Monthly Merchant Balance [Visa SQL Interview Question]
38 Tweets' Rolling Averages [Twitter SQL Interview Question]
39 Who Made Quota_Oracle SQL Interview Question
40 Highest Number of Products [eBay SQL Interview Question]
41 Spare Server Capacity [Microsoft SQL Interview Question]
42 Top Rated Businesses [Yelp SQL Interview Question]
43 Ad Campaign ROAS [Google SQL Interview Question]
44 Trade In Payouts [Apple SQL Interview Question]
45 Cumulative Purchases by Product Type [Amazon SQL Interview Question]
46 Invalid Search Results [Google SQL Interview Question]
47 Repeat Purchases on Multiple Days [Stitch Fix SQL Interview Question]
48 International Call Percentage [Verizon SQL Interview Question]
49 Follow-Up Airpod Percentage [Apple SQL Interview Question]
50 Subject Matter Experts [Accenture SQL Interview Question]
51 Compressed Mode [Alibaba SQL Interview Question]
52 Consecutive Filing Years [Intuit SQL Interview Question]
53 Spotify Streaming History [Spotify SQL Interview Question]
54 Average Review Ratings [Amazon SQL Interview Question]
55 Highest-Grossing Items [Amazon SQL Interview Question]
56 Queries Quality and Percentage
57 Reported Posts
58 Customers Who Bought Products A and B but Not C
59 Game Play Analysis IV
60 Game Play Analysis III
61 Highest Grade For Each Student
62 Recyclable and Low Fat Products
63 Invalid Tweets
64 The Number of Rich Customers
65 The Latest Login in 2020
66 Game Play Analysis I
67 Warehouse Manager
68 Customer Placing the Largest Number of Orders
69 Find Total Time Spent by Each Employee
70 Immediate Food Delivery I
71 Bank Account Summary II
72 Actors and Directors Who Cooperated At Least Three Times
73 Customer Order Frequency
74 Daily Leads and Partners
75 Page Recommendations
76 Sellers With No Sales
77 Sales Person
78 Employees With Missing Information
79 Grand Slam Titles
80 Find the Team Size
81 Students With Invalid Departments
82 Department Highest Salary
83 Maximum Transaction Each Day
84 The Most Recent Orders for Each Product
85 Game Play Analysis II
86 Project Employees III
87 Find the Quiet Students in All Exams
88 Leetflex Banned Accounts
89 Friendly Movies Streamed Last Month
90 Rank Scores
91 Consequtive Numbers
92 Department Top Three Salaries
93 Classes More Than 5 Students
94 Swap_Salary
95 User Activity for the Past 30 Days I
96 Market Analysis I
97 Capital Gain_Loss
98 Top Travellers
99 Customer Who Visited but Did Not Make Any Transactions
100 Workers With The Highest Salaries
101 Most Profitable Companies
102 Activity Rank
103 Finding User Purchases