11 Caesars Entertainment SQL Interview Questions (Updated 2024)

At Caesars Entertainment, SQL is used to analyze customer gambling behaviors, allowing them to create personalized marketing strategies that attract and engage players. They also use SQL to manage large amounts of transaction data generated from their casinos, ensuring they can optimize their revenue effectively, that is the reason why Caesars Entertainment asks SQL problems in interviews for Data Analyst, Data Science, and BI jobs.

To help prep you for the Caesars Entertainment SQL interview, here’s 11 Caesars Entertainment SQL interview questions in this article.

11 Caesars Entertainment SQL Interview Questions

SQL Question 1: Identify Top Spending Players

At Caesars Entertainment, one of the most crucial activities for the business is gambling. Thus, the power users can be identified as users who spend the most on gambling. A common type of question would be to ask an interviewee to write a SQL query to analyze the customer transactions database and identify the top 10 gamblers who have spent the most amount of money in the last year.

Example Input:

Example Input:

Answer:

This PostgreSQL query will join the and tables based on the common , and then it will group the records by customer name (). For each group, it calculates the sum of the transaction amounts (). Next, it orders the groups in descending order of the computed sum and finally picks the top 10 rows from the sorted result. This will give the top 10 spending players in the last year. The clause defines the time range of the last year.

To work on a similar customer analytics SQL question where you can solve it interactively and have your SQL solution automatically checked, try this Walmart SQL Interview Question:

Discover the exciting updates from Caesars Entertainment through their press releases, showcasing how they are transforming the entertainment and gaming landscape! This information is crucial for understanding how Caesars Entertainment is positioning itself in a competitive market while enhancing guest experiences.

SQL Question 2: Second Highest Salary

Assume you had a table of Caesars Entertainment employee salary data. Write a SQL query to find the 2nd highest salary at the company.

Caesars Entertainment Example Input:

Example Output:

Write a SQL query for this problem directly within the browser on DataLemur:

Answer:

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

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

The clause is used to filter rows from the result set of a , , or statement. It allows you to specify a condition that must be met for a row to be included in the result set.

The clause is used to filter groups created by the clause. It is 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.

Say you were working on a social media analytics project for Caesars Entertainment.

Here is an example of a SQL query that you might write which uses both the and clauses:

This query retrieves the total impressions and average conversions for each platform in the table, the date of the campaign is in January 2023. The rows are grouped by platform and the clause filters the groups to include only those with more than 5000 impressions and an average conversion rate above 0.2.

SQL Question 4: Analyzing Visitor Behavior Data

You've been given a dataset containing recent gaming data for Caesars Entertainment, a well-known provider of casino-entertainment and hospitality services. Your task is to identify each customer's preferred type of game based on each game's total stakes (which implies the frequency and the duration of the game).

The dataset consists of the following tables:

:

:

Write a SQL query that would return the visitor's name along with their preferred . If a visitor has the same total stakes for more than one type of game, you should list all the game types for the visitor.

Answer:

In this query, we first join all the tables to create a new table view with the total stakes for each visitor per game_type (). Then we find the maximum stakes spent on a game by each visitor (). In the final step, we join these two tables on both and to get the visitor along with their preferred game_type.

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

SQL Question 5: What's the difference between a unique and non-unique index?

While both types of indexes improve the performance of SQL queries by providing a faster way to lookup rows of data, a unique index enforces the uniqueness of the indexed columns, meaning that no duplicate values are allowed in the indexed columns. On the other hand, a non-unique index allows duplicate values in the indexed columns.

Here is an example of a unique index on the column of a table of Caesars Entertainment employees:

This index would ensure that no two Caesars Entertainment employees have the same , which could be used as a unique identifier for each employee.

Here is an example of a non-unique index on the column of the same table:

This index would not enforce uniqueness, but it could be used to improve the performance of queries that filter or sort the data based on the column. For example, if you want to retrieve all employees who were Data Analysts, the database can use the index to quickly locate and retrieve the desired records without having to search through all the employees.

SQL Question 6: Hotel Booking Analysis

As a data analyst at Caesars Entertainment, your task is to analyze the booking pattern of different hotels under Caesars Entertainment. The company manages multiple hotels, and customers book rooms at these hotels. All necessary booking details are stored in a database. You need to design a SQL query that provides each hotel's total booking count, total days booked, and average stay duration for the year 2022. You also need to determine which hotel has the maximum total booking for 2022.

Example Input:

Example Output:

Answer:

This PostgreSQL query calculates the total bookings, total days booked, and average stay duration for each hotel for the year 2022. The function is used to calculate the total number of bookings, the function is used to calculate the total days booked, and the function is used to calculate the average stay duration. The clause is used to filter out the bookings that were not made in the year 2022. The result is then grouped by and ordered in descending order based on the total bookings.

SQL Question 7: What is the difference between cross join and natural join?

Imagine you are organizing a party and have two database tables: one table of people you want to invite and another list of food items you want to serve.

A cross join would be like inviting every person on your list to the party and serving them every food item on the menu, regardless of whether they like the food or not. So, if you had 10 people on your invite list and 5 food items on the menu, you would generate all 50 different combinations of people and food (10 x 5 = 50).

On the other hand, a natural join would be like inviting only the people who like the food items on the menu (based on doing a inner/left/right/outer JOIN on a common key like ).

SQL Question 8: Evaluate Average Spending Per Customer for Each Gaming Type

Imagine that Caesars Entertainment wants to understand its customers’ spending habits better. They ask you to find the average amount each customer spends on each type of game (slots, blackjack, poker) within their casinos.

Sample Data:

Input:

Expected Output:

Answer:

The PostgreSQL query to solve this would be:

This query groups the spending by both the customer and the gaming type, then applies the function to these groupings, allowing us to understand the average amount each customer spends on each type of game. The clause ensures we're calculating each player’s average separately for each game type.

To practice a very similar question try this interactive Amazon Highest-Grossing Items Question which is similar for grouping data by categories and calculating based on spendings or this Walmart Histogram of Users and Purchases Question which is similar for using customer's transactions data for analysis.

SQL Question 9: Filter Outstanding Guests at Caesars Entertainment

The entertainment department at Caesars Entertainment would like to send some personalized emails to guests who often enjoy their casino facilities. Each guest has a profile which includes a field holding their favourite casino game.

Write an SQL query to find the full , and of all guests whose favourite game starts with the letter 'P'.

Sample Data for the table :

Example Input:

|

Expected Output:

Example Output:

Answer:

This SQL query will provide information about the guests who are keen on the games starting with 'P'. The keyword followed by 'P%' in the clause filters the records where starts with a 'P'.

SQL Question 10: What does the operator do?

The / operator is used to remove to return all rows from the first statement that are not returned by the second statement.

Note that is available in PostgreSQL and SQL Server, while is available in MySQL and Oracle (but don't stress about knowing which DBMS supports what exact commands since the interviewers at Caesars Entertainment should be lenient!).

Here's a PostgreSQL example of using to find all of Caesars Entertainment's Facebook video ads with more than 10k views that aren't also being run on YouTube:

If you want to retain duplicates, you can use the operator instead of . The operator will return all rows, including duplicates.

SQL Question 11: Analyze Customer Betting Behavior

The manager at Caesars Entertainment wants to analyze customer betting behavior to improve their offering and customer experience. They want to know which customers are the most active, what types of games they play and how much they typically bet.

You are provided with two tables - and . The table contains customer information, including their , , and . The table logs each bet placed by a customer and includes , , , and .

Write a SQL query to identify the top 5 customers who placed the most bets, and for each of these customers, list their total, average, minimum, and maximum bet amounts.

Example Input:

Example Input:

Answer:

This query first joins the table and the table on . Then it uses the keyword to group the results by customer name. The , , , and functions are used to calculate the total number of bets, average bet amount, minimum bet amount, and maximum bet amount respectively for each customer. Finally, the results are ordered by the total number of bets in descending order and limited to the top 5.

Because joins come up routinely during SQL interviews, practice this interactive Snapchat JOIN SQL interview question:

How To Prepare for the Caesars Entertainment SQL Interview

Assuming that you've already got basic SQL skills, the next best tip we have to prepare for the Caesars Entertainment SQL interview is to solve as many practice SQL interview questions as you can! Besides solving the earlier Caesars Entertainment SQL interview questions, you should also solve the 200+ tricky sql questions on DataLemur which come from companies like Amazon, Microsoft, Meta, and smaller tech companies.

Each DataLemur SQL question has hints to guide you, fully explained answers along with a discussion board to see how others solved it and crucially, there's an online SQL coding environment so you can easily right in the browser your SQL query and have it executed.

To prep for the Caesars Entertainment SQL interview you can also be useful to solve SQL problems from other hospitality and restaurant companies like:

• Marriott SQL questions
• McDonald's SQL questions
• Starbucks SQL questions
• Bloomin' Brands SQL questions

In case your SQL skills are weak, don't worry about jumping right into solving questions – improve your SQL foundations with this free SQL tutorial.

This tutorial covers things like Self-Joins and handling NULLs in SQL – both of these pop up frequently in Caesars Entertainment interviews.

Caesars Entertainment Data Science Interview Tips

What Do Caesars Entertainment Data Science Interviews Cover?

In addition to SQL query questions, the other question categories tested in the Caesars Entertainment Data Science Interview include:

• Statistics and AB Testing Questions
• Python or R Programming Questions
• Business Sense and Product-Sense Questions
• ML Modelling Questions
• Behavioral Questions centered on Caesars Entertainment cultural values

How To Prepare for Caesars Entertainment Data Science Interviews?

To prepare for Caesars Entertainment Data Science interviews read the book Ace the Data Science Interview because it's got:

• 201 interview questions taken from FAANG, tech startups, and Wall Street
• a crash course on SQL, Product-Sense & ML
• over 1000+ 5-star reviews on Amazon

Also focus on the behavioral interview – prep for it with this guide on behavioral interview questions.