Nick’s previously held Software & Data roles at Facebook, Google, & SafeGraph (a geospatial analytics startup).
Currently, he’s the best-selling author of Ace the Data Science Interview, and Founder & CEO of DataLemur.
Nick’s also active on LinkedIn, where he shares career tips with his 160,000+ followers.
AppLovin uses SQL a lot to look at user engagement metrics in their Adjust service and to make sure that their personalized ad targeting works best. This is the main reason why AppLovin almost always tests candidates’ SQL coding skills in Data Science, Analytics, and
That’s why we’ve put together 10 AppLovin SQL interview questions for you to help you prepare. Can you answer them?
Hey there, job seekers! Are you aiming to land a coveted role at AppLovin, the leading mobile app monetization platform? Well, buckle up, because this guide is your ultimate weapon in conquering those interview questions and securing your dream job.
Let’s face it, interviews can be nerve-wracking, especially when you’re facing a company like AppLovin, known for its rigorous hiring process But fear not, for we’ve compiled a comprehensive list of AppLovin interview questions, covering various aspects of the company, its culture, and the specific role you’re applying for
Prepare yourself with your favorite drink, and let’s dive into the world of AppLovin interview questions.
Frequently Asked Questions (FAQs)
1. Tell me about yourself.
This classic icebreaker might seem simple but it’s your chance to shine. Don’t just recite your resume; instead, craft a compelling narrative that highlights your relevant skills, experiences and achievements. Showcase your passion for the industry and your eagerness to contribute to AppLovin’s success.
2. Why AppLovin?
Do your research! Demonstrating your knowledge of AppLovin’s mission, values, and products shows genuine interest and commitment. Talk about specific aspects that resonate with you and how your skills align with the company’s goals.
3. What are your strengths and weaknesses?
This is a tricky one. Be honest but focus on turning your weaknesses into opportunities for growth. Highlight your strengths relevant to the position and how you leverage them to achieve results.
4. Describe a challenging project you worked on.
This is your chance to show how well you can solve problems and get past problems. Explain the project’s goals, the challenges you faced, and how you tackled them. Emphasize your contributions and the positive outcomes achieved.
5. What are your salary expectations?
Research industry benchmarks and your own qualifications to determine a fair salary range. Be confident and articulate your expectations clearly, but also be open to negotiation.
Additional Resources
1. Glassdoor:
- AppLovin Interview Questions: https://www.glassdoor.com/Interview/AppLovin-Software-Engineer-Interview-Questions-EI_IE576360.0,8_KO9,26.htm
2. Indeed:
- AppLovin Interview Questions: https://www.indeed.com/cmp/AppLovin/interviews
3. LeetCode:
- AppLovin Interview Questions: https://leetcode.com/company/applovin/
4. InterviewBit:
- AppLovin Interview Questions: https://www.interviewbit.com/applovin-interview-questions/
5. GeeksforGeeks:
- AppLovin Interview Questions: https://www.geeksforgeeks.org/applovin-interview-questions/
Remember, preparation is key. By thoroughly researching AppLovin, practicing your answers, and staying confident, you’ll be well-equipped to ace your interview and land your dream job at AppLovin.
Go forth and conquer, job seeker!
SQL Question 8: Calculate the Click-Through-Rate for AppLovin Advertisement Campaigns
A common SQL problem for AppLovin, a company known for its mobile games and mobile ads, could be figuring out how well their ad campaigns are doing.
The click-through-rate (CTR) is an important metric for measuring this. It is found by dividing the number of people who clicked on an ad by the total number of times the ad was shown.
Given two tables; one for and another for , calculate the click-through-rate for each campaign per day.
| impression_id | campaign_id | user_id | impression_date |
|---|---|---|---|
| 1034 | 101 | 817 | 06/01/2022 00:00:00 |
| 2043 | 102 | 918 | 06/01/2022 00:00:00 |
| 3182 | 101 | 289 | 06/02/2022 00:00:00 |
| 4791 | 101 | 292 | 06/02/2022 00:00:00 |
| 5002 | 102 | 562 | 06/02/2022 00:00:00 |
| click_id | campaign_id | user_id | click_date |
|---|---|---|---|
| 7812 | 101 | 817 | 06/01/2022 00:00:00 |
| 2593 | 101 | 289 | 06/02/2022 00:00:00 |
| campaign | date | click_through_rate |
|---|---|---|
| 101 | 06/01/2022 | 100.00% |
| 101 | 06/02/2022 | 50.00% |
| 102 | 06/01/2022 | 0.00% |
| 102 | 06/02/2022 | 0.00% |
The PostgreSQL query to solve this problem might look like this:
The SQL query above calculates the click-through-rate (CTR) for each campaign and date. To find the CTR, divide the number of unique clicks by the number of unique ad impressions. A LEFT JOIN and GROUP BY are used to combine data from two tables and get the CTR for each campaign and day.
Here’s an example of a similar rate-calculating problem that you can work on with DataLemurs’ interactive SQL code editor:
SQL Question 9: Filtering Customer Records for AppLovin
Youre an SQL developer at AppLovin. They want to use their database to find people with an email address from a certain email provider for a new campaign. Specifically, they wish to choose users with email addresses ending in “@gmail. com” and have subscribed to news.
Write a SQL query to retrieve all records of users who have a “@gmail. com” email address and have a subscribed status.
This query will return all records from the users table where the users email address ends with “@gmail. com” and the subscription status is subscribed. The “%” before “@gmail. com” in the LIKE clause acts as a wildcard, matching any character(s) that may come before “@gmail. com” in the email address.
