10 Hologic SQL Interview Questions (Updated 2024)

Updated on

October 31, 2024

Hologic employees use SQL to analyze customer data from medical devices, gaining valuable insights that help improve product offerings and enhance patient care. It is also used to manage the database of digital medical imaging systems, ensuring everything runs smoothly and efficiently, this is the reason why Hologic evaluates jobseekers with SQL problems during interviews for Data Science, Data Engineering, and Data Analytics jobs.

To help you study for the Hologic SQL interview, here's 10 Hologic SQL interview questions – scroll down to start solving them!

Hologic SQL Interview Questions

10 Hologic SQL Interview Questions

SQL Question 1: Calculate Average Rating of Each Product Per Month

Hologic is a medical technology company that focuses on women’s health. Imagine we have a table called which contains customer ratings for two of Hologic's products, given on different dates. Each review is identified by a , and we know the of the user who posted the review, the of the product being reviewed, the when the review was posted, and finally, the value representing the rating out of 5 given by the user for the product. Your task is to write a SQL query that calculates the average rating (stars) of each product on a monthly basis.

Example Input:

review_iduser_idsubmit_dateproduct_idstars
61711232022-06-08500014
78022652022-06-10698524
52933622022-06-18500013
63521922022-07-26698523
45179812022-07-05698522

Example Output:

monthproductavg_stars
6500013.5
6698524.0
7698522.5

Answer:


This SQL command groups the data on the basis of and the month of review submission. Then it calculates the average rating for each one of these groups. The function is used to obtain the month from the column. The function then calculates the average rating for each month for each product.

To solve another window function question on DataLemur's free online SQL code editor, solve this Amazon SQL question asked in a BI Engineer interview:

Amazon SQL Interview Question

Uncover the collaboration between Hologic and Google Cloud aimed at advancing next-generation healthcare solutions! This partnership highlights the importance of technology in improving health outcomes, making it relevant for anyone interested in the future of healthcare.

SQL Question 2: Top Department Salaries

Imagine you had a table of Hologic employee salary data. Write a SQL query to find the top 3 highest earning employees within each department.

Hologic Example Input:

employee_idnamesalarydepartment_id
1Emma Thompson38001
2Daniel Rodriguez22301
3Olivia Smith20001
4Noah Johnson68002
5Sophia Martinez17501
8William Davis68002
10James Anderson40001

Example Input:

department_iddepartment_name
1Data Analytics
2Data Science

Example Output:

department_namenamesalary
Data AnalyticsJames Anderson4000
Data AnalyticsEmma Thompson3800
Data AnalyticsDaniel Rodriguez2230
Data ScienceNoah Johnson6800
Data ScienceWilliam Davis6800

Try this interview question interactively on DataLemur:

Top 3 Department Salaries

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 here: Top 3 Department Salaries.

SQL Question 3: What does adding 'DISTINCT' to a SQL query do?

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

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


Hologic SQL Interview Questions

SQL Question 4: Hologic Medical Device Management

Hologic Inc. is an innovative medical technology company and they are primarily focused on improving women's health and well-being. One of their products includes breast examination devices. These devices often require regular maintenance and checks. To do this, Hologic maintains records for each hospital/clinic which owns a device, its maintenance records and the details of the employees who are handling the device.

Design a database that can hold this information. The database will have three tables: , , and .

Below are sample records for these tables:

:

clinic_idclinic_namelocation
1001Clinic ANew York
1002Clinic BChicago
1003Clinic CLos Angeles

:

device_idclinic_idpurchase_datemodel
2001100115/07/2017Model X
2002100118/06/2018Model Y
2003100212/05/2019Model Z
2004100305/04/2020Model Z

:

tech_iddevice_idtech_namelast_maintenance_date
30012001John Smith01/04/2022
30022002Jane Doe15/03/2022
30032003David Johnson12/03/2022
30042004Mariam Davis25/02/2022

Given this setup, write a SQL query that retrieves the list of all devices that belong to a specific clinic (e.g., Clinic A), together with their model, purchase date, the technician who last maintained the device, and the last maintenance date.

Answer:


This query works by performing a JOIN operation on the and tables using as the key. Then it performs another JOIN on and tables using . The WHERE clause then filters out the result by clinic name.

SQL Question 5: What do the / operators do, and can you give an example?

The operator is used 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, 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 Hologic, and had access to Hologic'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 Testing Time Per Machine

As a quality assurance engineer at Hologic, a leading developer, manufacturer, and supplier of premium diagnostic products, you've been tasked to ensure that every machine operates within acceptable time limits. From the database containing records of each test run, your aim is to find the average testing time for each machine.

Example Input:

test_idmachine_idstart_timeend_time
1241012022-07-06 13:00:002022-07-06 13:30:00
3161022022-07-06 14:15:002022-07-06 14:45:00
7111012022-07-07 10:00:002022-07-07 10:20:00
4891032022-07-07 16:00:002022-07-07 16:35:00
2211012022-07-08 09:00:002022-07-08 09:45:00

Answer:


This query extracts the difference between the start time and end time for each test on a machine using PostgreSQL's function. The function EPOCH is used for the extraction because it provides the difference in seconds which is then divided by 60 to convert into minutes. function calculates the average of these time differences for each machine.

Example Output:

machine_idavg_test_minutes
10130.00
10230.00
10335.00

In this output, it shows that the average test times for machines 101 and 102 are 30 minutes, whereas for machine 103 it is 35 minutes.

To practice a very similar question try this interactive Amazon Server Utilization Time Question which is similar for calculating total duration from start and end times or this Tesla Unfinished Parts Question which is similar for analyzing time duration for task completion.

SQL Question 7: How does the LEAD() function differ from the LAG() function?

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.

Often, the offset for both functions is 1, which gives access to the immediately following/preceding row. Here's a SQL query example:


SQL Question 8: Analyze Click-Through-Rate for Hologic Digital Products

Suppose Hologic has a number of digital products with ads displayed across multiple channels. Typically, when a potential customer clicks an ad, he/she is directed to a product page. Some customers add the product to their cart, which is considered a conversion.

The company wants to perform an analysis of its click-through and conversion rates to better understand the effectiveness of its ads and user engagement. Write a SQL query to calculate the total number of ads clicks, total number of products added to cart and the click-through conversion rate (total added to cart / total ad clicks) for each product in the month of June.

Assume tables and have the following schema:

Example Input:

click_idad_dateproduct_id
106/01/20221001
206/02/20221002
306/03/20221001
406/04/20221003
506/05/20221002

Example Input:

add_idadd_dateproduct_id
1006/02/20221001
2006/03/20221001
3006/05/20221003
4006/06/20221001
5006/07/20221003

Answer:

We will use SQL JOIN to link the two tables based on product_id and count the relevant records.


This will give you the total number of ad clicks, total products added to the cart, and the conversion rate for each product for the month of June.

To practice a similar SQL interview question on DataLemur's free online SQL code editor, attempt this Facebook SQL Interview question:

SQL interview question asked by Facebook

SQL Question 9: Find Customer Contact Information from a Specific Region

Hologic has been trying to increase its customer engagement. As a first step, they want to send an email to all customers who are located in the "Eastern Region" to inform them about the latest diagnostic products and technologies that Hologic offers. As a Database Administrator, fetch the full name, email and phone for all customers located in the Eastern Region from the table. The records are considered to match if the customer's field is exactly "Eastern Region".

Use the SQL keyword to filter the data.

Example Input:

customer_idfirst_namelast_nameregionemailphone
0001JohnDoeEastern Regionjohndoe@example.com123-456-7890
0002JaneSmithWestern Regionjanesmith@example.com098-765-4321
0003MartinHopeEastern Regionmartinhope@example.com123-789-0654
0004EdwardJohnsonNorthern Regionedwardjohnson@example.com589-234-9012

Example Output:

full_nameemailphone
John Doejohndoe@example.com123-456-7890
Martin Hopemartinhope@example.com123-789-0654

Answer:


This SQL query concatenates the and columns to provide the full name of each customer. It then filters results where the is exactly 'Eastern Region' by using the keyword. The remaining data displays the full name, email, and phone of each customer from the Eastern Region.

SQL Question 10: In the context of databases, what does atomicity, consistency, isolation, and durability mean?

To ensure the reliability and integrity of data, a database management system (DBMS) strives to maintain the ACID properties: Atomicity, Consistency, Isolation, and Durability. To illustrate these concepts, consider the following examples of how ACID properties apply to banking transactions:

  1. Atomicity: A transaction is either completed in full or not at all. For example, if a customer is transferring money between accounts, the transaction should either transfer the entire amount or none at all.
  2. Consistency: A transaction is only allowed to complete if it follows all rules and constraints within the database. For example, if a customer is withdrawing money from an account, the transaction should only be allowed to proceed if there are sufficient funds available. Otherwise, the transaction is rejected.
  3. Isolation: Concurrent transactions are kept separate from each other, so that the changes made by one transaction cannot be seen by another transaction until the first one is complete. This helps prevent conflicts, such as two customers attempting to withdraw money from the same account at the same time.
  4. Durability: Once a transaction has been committed and completed, the changes made by the transaction are permanently stored in the database and will not be lost even if the database or system crashes. For example, if a customer makes a deposit, the transaction should be durable so that the deposit is not lost in the event of a system failure.

How To Prepare for the Hologic SQL Interview

The key to acing a Hologic SQL interview is to practice, practice, and then practice some more! Besides solving the earlier Hologic SQL interview questions, you should also solve the 200+ SQL Interview Questions on DataLemur which come from companies like FAANG (FB, Apple, Amazon, Netflix, Google).

DataLemur Questions

Each problem on DataLemur has multiple hints, step-by-step solutions and crucially, there is an online SQL code editor so you can right in the browser run your query and have it graded.

To prep for the Hologic SQL interview it is also wise to practice SQL problems from other healthcare and pharmaceutical companies like:

However, if your SQL foundations are weak, don't worry about diving straight into solving questions – refresh your SQL knowledge with this SQL tutorial for Data Analytics.

SQL tutorial for Data Analytics

This tutorial covers SQL topics like CTEs and creating summary stats with GROUP BY – both of which pop up often during SQL job interviews at Hologic.

Hologic Data Science Interview Tips

What Do Hologic Data Science Interviews Cover?

In addition to SQL interview questions, the other types of questions covered in the Hologic Data Science Interview include:

Hologic Data Scientist

How To Prepare for Hologic Data Science Interviews?

To prepare for the Hologic Data Science interview make sure you have a strong understanding of the company's values and company principles – this will be key to acing the behavioral interview. For technical interviews get ready by reading Ace the Data Science Interview. The book's got:

  • 201 Interview Questions from FAANG & startups
  • A Refresher on Python, SQL & ML
  • Great Reviews (1000+ 5-star reviews on Amazon)

Acing Data Science Interview

© 2024 DataLemur, Inc

Career Resources

Free 9-Day Data Interview Crash CourseFree SQL Tutorial for Data AnalyticsSQL Interview Cheat Sheet PDFUltimate SQL Interview GuideAce the Data Job Hunt Video CourseAce the Data Science InterviewBest Books for Data Analysts