11 Dassault Systemes SQL Interview Questions (Updated 2024)

At Dassault Systemes, SQL is used quite frequently for analyzing complex engineering data for improved product design, and managing customer data for personalized software development. Unsurprisingly this is why Dassault Systemes often tests SQL problems during interviews for Data Analyst, Data Science, and BI jobs.

So, if you're stressed about an upcoming SQL Assessment, we've curated 11 Dassault Systemes SQL interview questions to practice, which are similar to recently asked questions at Dassault Systemes – how many can you solve?

11 Dassault Systemes SQL Interview Questions

SQL Question 1: Identify Top Users of Dassault Systemes

Dassault Systemes offers various products including CAD software, PLM solutions, and 3D design software, valuable to many industries like automotive, aerospace and industrial equipment. A "power user" or "VIP user" in this context could be defined as the customers who are frequently buying or renewing licenses for these products.

Your task is to write a SQL query to identify customers who have bought or renewed licenses more than five times in the last six months.

Example Input:
10112301/08/2022 00:00:005000120
20226502/20/2022 00:00:006985215
30312302/09/2022 00:00:005000125
40436204/18/2022 00:00:005000110
50526507/26/2022 00:00:006985215
60619207/05/2022 00:00:006985220
70712306/20/2022 00:00:005000130
Example Output:


This query firstly filters out the records of the latest 6 months, groups the dataset by customer and product, and calculates the sum of licenses bought or renewed by each customer for every product. The result is then further filtered to include only those customers who have bought or renewed more than five licenses.

To practice a similar SQL problem on DataLemur's free interactive SQL code editor, solve this Meta SQL interview question: Facebook Click-through-rate SQL Question

SQL Question 2: Calculating Monthly Sales for each Software Product

"Dassault Systemes" sells a variety of software products. There is a requirement to analyze monthly sales for each product, more specifically, compute the total sales and the average product price for each month and for each product.

You are given a "sales" table containing information about each sale. Each product has a unique product_id. The sale_date is in the format 'YYYY-MM-DD'.

You are required to write a SQL query that outputs the total sales and average product price for each month and for each product, sorted by the months in ascending order.

Example Input:
Example Output:


WRITEUP_OF_ANSWER: This query first extracts the month from the sale_date using the TO_CHAR() function. It then calculates the count (total_sales) and average price (avg_price) for each product in each month, using the GROUP BY clause. The results are then sorted by the months in ascending order. The COUNT() function is used to compute the total number of sales, and the AVG() function is used to calculate the average product price.

To solve a related SQL problem on DataLemur's free online SQL code editor, try this Facebook SQL Interview question: Meta SQL interview question

SQL Question 3: What's the difference between and ?

The clause is used to filter the groups created by the clause. It's similar to the clause, but it is used to specify conditions on the groups created by the clause, rather than on the individual rows of the table.

For example, say you were analyzing salaries for analytics employees at Dassault Systemes:

This query retrieves the total salary for each Analytics department at Dassault Systemes and groups the rows by the specific department (i.e. ""Marketing Analytics"", ""Business Analytics"", ""Sales Analytics"" teams).

The clause then filters the groups to include only Dassault Systemes departments where the total salary is greater than $1 million

Dassault Systemes SQL Interview Questions

SQL Question 4: Analyzing Project Resource Utilization

Dassault Systemes, a multinational software company, is keen on understanding the resource utilization of their project teams. They want to analyze how often each software development kit (SDK) has been used in their projects and which software engineer has used them, with the goal of resource optimization.

In order to analyze this, you have two tables: and .

1001Weather App5001601
1002E-commerce Website5000602
1003Flight Tracker Mobile App5002603
1004Finance Management System5001603

table keeps the record of Project ID, Name of the Project, SDK ID used in the project, and the ID of the engineer who worked on the project.

600Laura Simpson2018-09-15
601James Wagner2019-05-01
602Joseph Matthews2017-11-20
603Catherine Brown2020-02-15

table keeps the records of Engineer ID, Name of the Engineer and the date when the engineer was hired.

You are required to write a PostgreSQL query to list out all the projects, the respective SDK used in each project, the name of the engineer who is assigned the project and the date when the engineer was hired.


This SQL query joins both the table (aliased as 'p') and table (aliased as 'e') using the as the common key. It then selects , , , and from the joined table to display the required data.

To solve a related SQL problem on DataLemur's free interactive SQL code editor, attempt this Meta SQL interview question: SQL interview question asked by Facebook

SQL Question 5: What does / SQL commands do?

The EXCEPT operator is used to return all rows from the first SELECT statement that are not returned by the second SELECT statement. Note that is available in PostgreSQL and SQL Server, and it's equivalent operator is called and is available in MySQL and Oracle.

For a tangible example, suppose you were doing an HR Analytics project for Dassault Systemes, and had access to Dassault Systemes's contractors and employees data. Assume that some employees were previously contractors, and vice versa, and thus would show up in both tables. You could use operator to find all employees who never were a contractor using this query:

SQL Question 6: Average Time to Resolve Tickets

"Dassault Systemes" is a software company; one area they would care about is the efficiency of their customer support. Let's say you are asked to find the average time taken to resolve support tickets.

Sample data:


10101/11/2023 00:00:0003/11/2023 00:00:00
10202/11/2023 00:00:0003/11/2023 00:00:00
10304/11/2023 00:00:0005/11/2023 00:00:00
10406/11/2023 00:00:0010/11/2023 00:00:00
10508/11/2023 00:00:0013/11/2023 00:00:00


We first need to calculate the time to resolve each ticket, and then compute the average of these durations.

Writeup of answer:

This query calculates the average resolution time for tickets in the provided data. The function is used to prevent negative intervals in case any ticket's resolve date is earlier than its report date (which should not happen in a correct dataset). Note that the data type is interval day to second, because we are calculating a duration, not a specific date or time.

To solve a similar SQL interview question on DataLemur's free interactive coding environment, attempt this SQL interview question asked by Facebook: Facebook Click-through-rate SQL Question

SQL Question 7: What does the keyword do?

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

For example, if you had a table of Dassault Systemes 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: Calculating Ad Click-through and Conversion Rates for Dassault Systemes

Given the table that records when a user clicks on a Dassault Systemes' digital ad and the table that records when a user adds a product to their cart after viewing it, calculate the click-through rate and the click-through conversion rate for a given month.

Assume each click and conversion has a timestamp and the ads and products are identified by unique IDs.

Example Input:
101123406/08/2022 00:10:003001
102234506/08/2022 00:20:004001
103345606/18/2022 00:30:003001
104456707/06/2022 01:10:004001
105567807/06/2022 01:20:003001
Example Input:
2001123406/08/2022 00:15:005001
2002234506/08/2022 00:30:006001
2003456707/06/2022 01:20:005001
2004567807/31/2022 02:00:006001


This query first counts the total number of clicks in each month ( subquery) and the total conversions in each month ( subquery). Then, it joins these two subqueries on the field and calculates the conversion rate by dividing by .

To practice another question about calculating rates, try this SQL interview question from TikTok within DataLemur's online SQL coding environment: Signup Activation Rate SQL Question

SQL Question 9: Search for Customers based on email domain

Dassault Systemes wants to understand more about their customer base. Specifically, they wish to know how many customers have used a particular set of corporate email domains for their registration. Assume the domains they are interested in are "@dassault-systemes.com", "@3ds.com" and "@catia.com". Write a SQL query to find all customer records where the email ID ends with one of these domains.

Here is a sample input table for your reference:

Example Input:
105LucyVan Peltlucy.vanpelt@yahoo.com


This query uses the LIKE operator and string matching to filter records based on the given criterion. It will retrieve all records where the email field ends with either "@dassault-systemes.com", "@3ds.com" or "@catia.com". For instance, "john.doe@dassault-systemes.com", "jane.smith@3ds.com" and "bill.murray@catia.com". Customers with other email domains like "charlie.brown@gmail.com" and "lucy.vanpelt@yahoo.com" will not be included in the result.

To solve a related SQL interview question on DataLemur's free interactive SQL code editor, solve this Meta SQL interview question: Facebook App CTR SQL Interview question

SQL Question 10: What does do, and when would you use this function?

The COALESCE() function returns the first non-NULL value from a list of values. This function is often used to replace a NULL with some default value, so that you can then take a or of some column without NULLs messing things up.

For example, suppose you ran a customer satisfaction survey for Dassault Systemes and had statements like "I'd buy from Dassault Systemes again". In the survey, customers would then answer how strongly they agreed with a statement on a scale of 1 to 5 (strongly disagree, disagree, neutral, agreee, strongly agree).

Because attention spans are short, many customers skipped many of the questions, and thus our survey data might be filled with NULLs:


Before doing further analytics on this customer survey data, you could replace the NULLs in the column with the value of (because that corresponds to the default 'neutral' answer) using the function:

This would result in the following:


SQL Question 11: Top Spending Customers Per Country

Dassault Systemes wants to assess customer spending habits across different countries. The company has two tables in their database: the table that contains customer data effectively linked with the countries they're from, and the table that provides insights into each customer's orders.

Your task is to write a SQL query that returns the top 3 customers with the highest total order amount from each country.

Example Input:

Example Input:


This SQL query first calculates the total spending for each customer using a subquery and a operation. The window function is then used to rank customers within each country based on their total spending. The outer query filters out only the top 3 customers from each country.

To solve a related SQL interview question on DataLemur's free online SQL code editor, solve this Meta SQL interview question: Facebook Click-through-rate SQL Question

Preparing For The Dassault Systemes SQL Interview

Assuming that you've already got basic SQL skills, the next best tip we have to prepare for the Dassault Systemes SQL interview is to solve as many practice SQL interview questions as you can! Besides solving the earlier Dassault Systemes SQL interview questions, you should also solve the 200+ SQL coding questions which come from companies like Microsoft, Google, and Facebook. DataLemur SQL Interview Questions

Each interview question has hints to guide you, step-by-step solutions and crucially, there is an interactive coding environment so you can right in the browser run your query and have it graded.

To prep for the Dassault Systemes SQL interview it is also a great idea to solve SQL questions from other tech companies like:

However, if your SQL skills are weak, forget about going right into solving questions – strengthen your SQL foundations with this interactive SQL tutorial.

DataLemur SQL Course

This tutorial covers things like 4 types of JOINS and CASE/WHEN statements – both of which show up routinely during Dassault Systemes SQL interviews.

Dassault Systemes Data Science Interview Tips

What Do Dassault Systemes Data Science Interviews Cover?

For the Dassault Systemes Data Science Interview, besides SQL questions, the other types of questions to practice:

  • Probability & Stats Questions
  • Python or R Coding Questions
  • Business Sense and Product-Sense Questions
  • Machine Learning Questions
  • Resume-Based Behavioral Questions

Dassault Systemes Data Scientist

How To Prepare for Dassault Systemes Data Science Interviews?

The best way to prepare for Dassault Systemes Data Science interviews is by reading Ace the Data Science Interview. The book's got:

  • 201 Interview Questions from companies like Google, Tesla, & Goldman Sachs
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