8 Constellation Brands SQL Interview Questions (Updated 2024)
Constellation Brands employees use SQL to analyze sales trends in the beverage industry, allowing them to see which products are popular in different markets and adjust their strategies accordingly. They also rely on SQL to optimize logistics, ensuring that their supply chain runs smoothly and efficiently so customers get their favorite drinks on time, this is why Constellation Brands asks SQL questions during interviews for Data Science, Data Engineering, and Data Analytics jobs.
Thus, to help you prep, here's 8 Constellation Brands SQL interview questions – how many can you solve?
8 Constellation Brands SQL Interview Questions
SQL Question 1: Calculate Monthly Average Ratings for Each Product
As a business analyst working for Constellation Brands, you are asked to analyze customer feedback and sentiments for the company's products. The company wants to understand the average ratings of their products on a monthly basis to see how well each product is performing in the market.
They have provided you with a table showing a list of reviews along with the date when the review was submitted, , , , and the rating () given by the user.
Example Input:
| review_id | user_id | submit_date | product_id | stars |
|---|---|---|---|---|
| 6171 | 123 | 2022-06-08 | 50001 | 4 |
| 7802 | 265 | 2022-06-10 | 69852 | 4 |
| 5293 | 362 | 2022-06-18 | 50001 | 3 |
| 6352 | 192 | 2022-07-26 | 69852 | 3 |
| 4517 | 981 | 2022-07-05 | 69852 | 2 |
Please write a SQL query to return a table that shows the month of review, product_id, and the average ratings for that product in that month.
The output should be formatted as follows:
Expected Output:
| mth | product | avg_stars |
|---|---|---|
| 6 | 50001 | 3.50 |
| 6 | 69852 | 4.00 |
| 7 | 69852 | 2.50 |
Answer:
In the query above, we used to get the month part from the column. We then used to group the result by month and product. The is used to calculate the average ratings for each product in each month. The sorts the result in ascending order first by month and then by product_id.
To practice another window function question on DataLemur's free online SQL coding environment, solve this Google SQL Interview Question:
Stay updated with Constellation Brands' latest news and insights as they continue to lead in the beverage industry! Understanding their strategies can give you a better perspective on how companies are innovating to meet consumer demands and enhance their market presence.
SQL Question 2: Top Three Salaries
Given a table of Constellation Brands employee salaries, write a SQL query to find the top 3 highest paid employees within each department.
Constellation Brands Example Input:
| employee_id | name | salary | department_id |
|---|---|---|---|
| 1 | Emma Thompson | 3800 | 1 |
| 2 | Daniel Rodriguez | 2230 | 1 |
| 3 | Olivia Smith | 2000 | 1 |
| 4 | Noah Johnson | 6800 | 2 |
| 5 | Sophia Martinez | 1750 | 1 |
| 8 | William Davis | 6800 | 2 |
| 10 | James Anderson | 4000 | 1 |
Example Input:
| department_id | department_name |
|---|---|
| 1 | Data Analytics |
| 2 | Data Science |
Example Output:
| department_name | name | salary |
|---|---|---|
| Data Analytics | James Anderson | 4000 |
| Data Analytics | Emma Thompson | 3800 |
| Data Analytics | Daniel Rodriguez | 2230 |
| Data Science | Noah Johnson | 6800 |
| Data Science | William Davis | 6800 |
Try this problem and run your code right in DataLemur's online SQL environment:
Answer:
We use the DENSE_RANK() window function to generate unique ranks for each employee's salary within their department, with higher salaries receiving lower ranks. Then, we wrap this up in a CTE and filter the employees with a ranking of 3 or lower.
If the code above is tough, you can find a detailed solution with hints here: Top 3 Department Salaries.
SQL Question 3: What's the difference between a foreign and primary key?
To explain the difference between a primary key and foreign key, let's start with some data from Constellation Brands's marketing analytics database which stores data from Google Ads campaigns:
:
| ad_id | campaign_id | keyword | click_count |
|---|---|---|---|
| 1 | 100 | Constellation Brands pricing | 10 |
| 2 | 100 | Constellation Brands reviews | 15 |
| 3 | 101 | Constellation Brands alternatives | 7 |
| 4 | 101 | buy Constellation Brands | 12 |
In this table, could be a primary key. It is unique for each row in the table and cannot contain null values.
could be a foreign key. It references the of the Google Ads campaign that each ad belongs to, establishing a relationship between the ads and their campaigns. This foreign key allows you to easily query the table to find out which ads belong to a specific campaign, or to find out which campaigns a specific ad belongs to.
It is also possible for a table to have multiple foreign keys that reference different primary keys in other tables. For example, the table could have additional foreign keys for the of the ad group that each ad belongs to, and the of the Google Ads account that the campaigns belong to.
SQL Question 4: Build and Optimize Sales Database for Constellation Brands
Suppose you are asked to design a new database to track sales for Constellation Brands, a company producing and marketing beer, wine and spirits. Each product has a unique SKU (Stock Keeping Unit) and comes in a case of individual units. Sales team members regularly place these products at different stores across the United States.
The main concerns are:
- What is the total case sales, unit sales and total dollar sales per product per store in July 2022?
- Are there any stores that did not receive deliveries in July 2022?
Consider the following three tables:
Table:
| sku | product_name | unit_per_case | unit_price |
|---|---|---|---|
| 1001 | Corona Extra | 24 | $2.50 |
| 1002 | Modelo Especial | 24 | $3.00 |
| 2001 | Robert Mondavi | 12 | $10.00 |
Table:
| store_id | store_name | location |
|---|---|---|
| 5001 | Total Wine | San Diego, CA |
| 5002 | BevMo | Los Angeles, CA |
| 6001 | Binny's | Chicago, IL |
Table:
| sales_id | store_id | sku | case_quantity | sales_month |
|---|---|---|---|---|
| 7001 | 5001 | 1001 | 50 | 07/01/2022 |
| 7002 | 5002 | 1002 | 75 | 07/02/2022 |
| 8001 | 6001 | 2001 | 25 | 06/30/2022 |
Answer:
This query will provide a pivot style output of the total case sales, unit sales and total dollar sales per product at each store for the month of July 2022. We used a JOIN clause to combine sales, products and stores tables.
Next, to find stores without any delivery in July 2022, you can use the following query:
This query will output a list of all stores that did not receive any delivery in the given month. We used a subquery to filter out the stores that have sales in July 2022.
SQL Question 5: What is the purpose of the SQL constraint ?
The constraint is used to ensure the uniqueness of the data in a column or set of columns in a table. It prevents the insertion of duplicate values in the specified column or columns and helps to ensure the integrity and reliability of the data in the database.
For example, say you were on the Marketing Analytics team at Constellation Brands and were doing some automated keyword research:
Your keyword database might store SEO data like this:
In this example, the constraint is applied to the "keyword" field to ensure that each keyword is unique. This helps to ensure the integrity of the data in the database and prevents errors that could occur if two rows had the same keyword.
SQL Question 6: Determine High-Rated Products for a Specific Age Group
Given the customer records and reviews databases at Constellation Brands, write an SQL query to determine which products in the "beer" category have consistently received a rating of 4 stars or above by customers in the age group 25-35 over the past year.
Example Input:
| customer_id | first_name | last_name | DOB |
|---|---|---|---|
| 123 | John | Doe | 01/05/1992 |
| 456 | Jane | Doe | 05/12/1987 |
| 789 | Jim | Beam | 08/14/1990 |
| 1011 | Jack | Daniels | 12/04/1984 |
| 1213 | Jameson | Whiskey | 09/19/1980 |
Example Input:
| review_id | customer_id | product_category | product_id | review_date | stars |
|---|---|---|---|---|---|
| 1001 | 123 | beer | 501 | 01/15/2021 | 5 |
| 1002 | 456 | beer | 502 | 02/10/2021 | 4 |
| 1003 | 789 | wine | 503 | 04/08/2021 | 3 |
| 1004 | 123 | beer | 504 | 07/18/2021 | 4 |
| 1005 | 1011 | beer | 505 | 06/22/2021 | 3 |
| 1006 | 1213 | spirit | 506 | 12/10/2021 | 5 |
| 1007 | 123 | beer | 501 | 09/19/2021 | 4 |
| 1008 | 456 | beer | 502 | 10/21/2021 | 5 |
Example Output:
| product_id | avg_stars |
|---|---|
| 501 | 4.5 |
| 502 | 4.5 |
Answer:
In this answer, we start by joining the and tables on the field. We then filter the resulting table for records where the is 'beer', the is within the last year, and the customer's age is between 25 and 35. Furthermore, we only consider reviews where the rating is 4 stars or above. We then group the resulting records by and calculate the average rating for each product. Finally, we only retain products where the average is 4 stars or above.
SQL Question 7: Do NULLs in SQL mean the same thing as a zero?
A NULL value represents a missing or unknown value. It is different from a zero or a blank space, which are actual values. It is important to handle NULL values properly in SQL because they can cause unexpected results if not treated correctly.
SQL Question 8: Average Review of Each Product
Given the reviews dataset collected by Constellation Brands, could you determine the average review (star rating) assigned to each of the company's products per month? For the purpose of this task, only consider the reviews that have been submitted during the current year.
Example Input:
| review_id | user_id | submit_date | product_id | stars |
|---|---|---|---|---|
| 5289 | 231 | 2022-01-14 | 209002 | 5 |
| 4321 | 487 | 2022-02-03 | 210901 | 4 |
| 7948 | 152 | 2022-03-10 | 209002 | 3 |
| 9056 | 601 | 2022-03-24 | 210901 | 5 |
| 5226 | 489 | 2022-04-18 | 209002 | 4 |
Answer:
The above PostgreSQL query will output a result set with three columns: , , and . It extracts the submit month from each row's and uses it alongside the to group the reviews. The aggregate function gives the average star rating per product per month. Lastly, the query only considers reviews from the current year (2022) as specified by the clause.
How To Prepare for the Constellation Brands SQL Interview
The best way to prepare for a SQL interview, besides making sure you have strong SQL fundamentals, is to practice a ton of real SQL questions that were asked in recent job interviews. Besides solving the earlier Constellation Brands SQL interview questions, you should also solve the 200+ FAANG SQL Questions on DataLemur which come from companies like Amazon, JP Morgan, and food and facilities companies like Constellation Brands.
Each SQL question has multiple hints, full answers and most importantly, there is an interactive SQL code editor so you can instantly run your query and have it executed.
To prep for the Constellation Brands SQL interview it is also wise to solve interview questions from other food and facilities companies like:
- Hershey SQL questions
- Seaboard SQL questions
- Molson Coors SQL questions
- Conagra Brands SQL questions
In case your SQL query skills are weak, don't worry about jumping right into solving questions – go learn SQL with this DataLemur SQL Tutorial.
This tutorial covers things like CASE/WHEN statements and math functions in SQL – both of these come up often in Constellation Brands SQL assessments.
Constellation Brands Data Science Interview Tips
What Do Constellation Brands Data Science Interviews Cover?
Besides SQL interview questions, the other question categories to practice for the Constellation Brands Data Science Interview are:
- Probability & Statistics Questions
- Coding Questions in Python or R
- Product Analytics Questions
- ML Interview Questions
- Behavioral Questions focussed on Constellation Brands culture and values
How To Prepare for Constellation Brands Data Science Interviews?
To prepare for Constellation Brands Data Science interviews read the book Ace the Data Science Interview because it's got:
- 201 interview questions taken from Microsoft, Amazon & startups
- a refresher covering Python, SQL & ML
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Don't ignore the behavioral interview – prepare for that using this guide on behavioral interview questions.