8 Lumen Technologies SQL Interview Questions (Updated 2024)

Updated on

June 23, 2024

Data Scientists, Analysts, and Data Engineers at Lumen Technologies code up SQL queries all the damn time for work. They use SQL for analyzing network traffic data for predictions, and shaping dataset frameworks for the telecommunication model updates. For this reason Lumen Technologies frequently asks jobseekers SQL coding interview questions.

To help you prep for the Lumen Technologies SQL interview, we've collected 8 Lumen SQL interview questions can you solve them?

8 Lumen SQL Interview Questions

SQL Question 1: Calculate Monthly Data Usage for Each Customer

Given a dataset which contains data usage of each user of Lumen Technologies on a daily basis in the past year. Write an SQL query to calculate the total monthly data usage for each user using SQL window function.

Below are the markdown-formatted sample tables you can use to formulate your query:

Example Input:
user_idusage_datedata_usage(GB)
575601/05/202210
932101/15/202215
575601/20/202220
932102/02/202218
575602/10/202214
575602/20/202212
932102/25/202217
575603/01/202215
932103/05/202222
575603/15/202218
Example Output:
monthuser_idtotal_data_usage(GB)
1575630
1932115
2575626
2932135
3575633
3932122

In this query, we first use the function to extract the month from the column for each user. Next, we use a window function to sum the data usage of each user for each month. Finally, the results are grouped by user_id and month and then ordered by user_id and month.

p.s. Window functions show up pretty frequently during SQL interviews, so practice the 27+ window function questions on DataLemur

SQL Question 2: 2nd Largest Salary

Given a table of Lumen Technologies employee salaries, write a SQL query to find the 2nd highest salary among all employees.

Lumen Technologies Example Input:

employee_idsalary
12500
2800
31000
41200

Example Output:

second_highest_salary
1200

Test your SQL query for this interview question interactively on DataLemur:

You can find a detailed solution with hints here: 2nd Highest Salary.

SQL Question 3: What is a cross-join, and when would you use one?

A cross-join, also known as a cartesian join, is a type of join that returns the cross-product of two tables. In a cross-join, each row from the first table is paired with every row from the second table, resulting in a new table that has a row for each possible combination of rows from the two input tables.

For example, say you worked on the Marketing Analytics team at Lumen Technologies, and needed to understand what advertising copy (text) goes best with what advertising creative (the photo that gets posted with the advertisement copy).

Here is an example of a cross-join between a table of ad_copy and a table of ad_creative:

You could this query to generate all possible combinations of ad copy and ad creative to help you create more effective ads for Lumen Technologies. Just be careful: if you had 1,000 rows of ad copy and 1,000 different image creatives, the resulting cross-join would have 1 million rows!

SQL Question 4: Service Usage Analysis

As a Database Design specialist at Lumen Technologies, your job is to design and set up a performance database that would keep track of all the services provided my Lumen, its usage data by the customers and the location details. Create tables , , and . Define relationships between these tables and design columns as needed considering performance and analysis.

Alongside, consider that the Management wants to get insights about the usage of services by location at the end of each month. Significantly, they want to find out the Total Usage and Number of Users per Service for each Location.

Providing Sample data for tables -

Sample Data:
service_idservice_name
101Internet
102TV
103VoIP
Sample Data:
record_iduser_idservice_idusage_time_hoursrecord_date
1100110132022-01-01
2100210242022-01-01
3100110312022-01-01
4100210122022-01-02
5100310232022-02-01
Sample Data:
location_iduser_idcitystatezip

This query first converts the date to 'YYYY-MM' format to get the month of the record. It uses JOIN to connect with and tables. The result comprises of month, service_name, city, state, number_of_users, and total_usage_hours. The result is grouped by Month, service_name, city, and state and finally sorted by Month, service_name, and total_usage_hours.

SQL Question 5: What does and do?

Both the and window functions are used to access a row at a specific offset from the current row.

However, the function retrieves a value from a row that follows the current row, whereas the function retrieves a value from a row that precedes the current row.

Say you had a table of salary data for Lumen Technologies employees:

namesalary
Amanda130000
Brandon90000
Carlita80000

You could use the function to output the salary of each employee, along with the next highest-paid employee:

This would yield the following output:

namesalarynext_salary
Amanda13000090000
Brandon9000080000
Carlita80000NULL

Swapping for would get you the salary of the person who made just more than you:

namesalarynext_salary
Amanda130000NULL
Brandon90000130000
Carlita8000090000

SQL Question 6: Calculate Click-through Conversion Rate for Lumen Technologies

Lumen Technologies is interested in understanding the effectiveness of their digital marketing strategies. Specifically, they want to understand the ratio of users that click on their digital ads and then go on to add a product to their cart.

We have two tables. The table marks each instance of a user clicking on one of Lumen Technologies' digital ads. The table records each time a user adds a product to their virtual cart.

Example Input
click_iduser_idclick_date
100112308/01/2022
100245608/01/2022
100378908/01/2022
100412308/01/2022
100598708/02/2022
Example Input
500112308/01/2022
500245608/02/2022
500378908/02/2022
500412308/01/2022
500532108/02/2022

To analyze this, we want to find the click-through conversion rate for each day. The click-through conversion rate is defined as the number of distinct users who add a product to the cart after clicking an ad divided by the total number of distinct users who clicked an ad on the same day.

This PostgreSQL query groups the data by the date of clicking on an ad. For each group, it calculates the ratio of distinct users who have added a product to the cart to the distinct users who clicked an ad. It uses a LEFT JOIN to ensure that all ad clicks are included in the calculation, even if there is no corresponding cart add.

To practice another question about calculating rates, solve this SQL interview question from TikTok on DataLemur's online SQL coding environment:

SQL Question 7: How can you select unique records from a table?

The clause in SQL allows you to select records that are unique, eliminating duplicates.

For example, if you had a table of Lumen Technologies employees, and wanted to see what are all the unique job titles that currently worked at the company, you could write the following query:

SQL Question 8: Querying Customer and Order Data

Given two tables, and , write a SQL query that retrieves the customer's name, their total number of orders, and the total order amount for customers who have made more than five purchases. The output should be ordered by the customers with the highest order amount.

Here are the sample tables for this problem:

Example Input:
customer_idfirst_namelast_name
1JohnDoe
2JaneSmith
3SamWilliams
4AnnaJohnson
Example Input:
order_idcustomer_idorder_amount
101125.50
102233.00
103144.10
104320.00
105261.50
106336.00
107482.30
108115.00
109250.50
110130.00

Here is a PostgreSQL query that would solve the given problem:

This query joins the customers and the orders tables on the customer_id. It then groups the data by customer_id, and the customers' first and last names. We also use the HAVING clause to ensure we only retrieve customers with more than five orders. Finally, the ORDER BY clause is used to sort the data by the total order amount in descending order.

Because joins come up frequently during SQL interviews, try this SQL join question from Spotify:

How To Prepare for the Lumen Technologies SQL Interview

The key to acing a Lumen Technologies SQL interview is to practice, practice, and then practice some more! In addition to solving the above Lumen Technologies SQL interview questions, you should also solve the 200+ SQL Interview Questions on DataLemur which come from companies like Facebook, Google, and VC-backed startups.

Each interview question has hints to guide you, detailed solutions and best of all, there is an online SQL coding environment so you can right online code up your query and have it graded.

To prep for the Lumen Technologies SQL interview it is also a great idea to solve SQL problems from other tech companies like:

However, if your SQL coding skills are weak, forget about diving straight into solving questions – go learn SQL with this interactive SQL tutorial.

This tutorial covers SQL topics like filtering on multiple conditions using AND/OR/NOT and sorting data with ORDER BY – both of which show up frequently during SQL job interviews at Lumen Technologies.

Lumen Data Science Interview Tips

What Do Lumen Technologies Data Science Interviews Cover?

In addition to SQL query questions, the other types of questions tested in the Lumen Technologies Data Science Interview are:

How To Prepare for Lumen Technologies Data Science Interviews?

I'm sorta biased, but I believe the optimal way to prep for Lumen Technologies Data Science interviews is to read the book I wrote: Ace the Data Science Interview.

The book covers 201 interview questions taken from tech companies like Google & Microsoft. It also has a crash course on Stats, SQL & ML. And finally it's vouched for by the data community, which is why it's earned 1000+ reviews on Amazon and a 4.5-star rating.