Booz Allen Hamilton Interview Questions

Booz Allen Hamilton is a leading management and technology consulting firm, known for its innovative solutions for government and commercial clients. Because Booz Allen Hamilton is a consulting firm, data scientists work with both client and company data, often working in with diverse datasets to create models or business insights. Typically, the data team (engineering, data science) works with creating dashboards and constructing architectures for handling data pipelines.

1 - How to determine if there’s a one-to-one correspondence between characters of two strings?

Given two strings, string1 and string2, write a function str_map to determine if there exists a one-to-one correspondence (bijection) between the characters of string1 and string2. The correspondence must be between characters in the same position/index.

2 - How to simulate drawing balls from a jar using a function? 

Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar, with corresponding counts of the balls stored in the same index in a list called n_balls.

3 - How to strip stop words from a string and return all lowercase characters? 

Given a list of stop words, write a function stopwords_stripped that takes a string and returns a string stripped of the stop words with all lowercase characters.

To practice Algorithms interview questions, consider using the Python learning path or the full list of Algorithms questions in our database.

1 - How would you set up an A/B test for multiple changes in a sign-up funnel?

A team wants to A/B test various changes in a sign-up funnel. For instance, on a page, a button is red and at the top. They want to see if changing the button’s color to blue and/or moving it to the bottom will increase click-through rates. How would you set up this test?

2 - How would you determine if a redesigned email campaign led to an increase in conversion rates?

You work for an E-commerce store where the new-user-to-customer conversion rate increased from 40% to 43% after a new marketing manager redesigned the email journey. However, the conversion rate was 45% a few months before the new manager started and had dropped to 40%. How would you investigate if the redesigned email campaign actually led to the increase in the conversion rate and that the increase wasn’t instead the result of other factors?

3 - How would you conduct an experiment to test the impact of displaying ETA as a range instead of a direct estimate?

You work at Uber, and a PM is considering a new feature where instead of a direct ETA estimate of 5 minutes, it would instead display a range of something like 3-7 minutes. How would you conduct this experiment, and how would you know if your results were significant?

For case studies, you can utilize resources like the product metrics learning path and the data analytics learning path to enhance your understanding and practice.

1 - How would you use SQL to analyze transaction data in the ‘annual_payments’ table?

Write SQL queries to answer the following questions:

1. How many total transactions are in this table?
2. How many different users made transactions?
3. How many transactions listed as “paid” have an amount greater or equal to 100?
4. Which product made the highest revenue? (use only transactions with a “paid” status)

2 - How would you write a SQL query to select the top five most expensive projects by budget to employee count ratio, accounting for duplicate rows?

You have two tables, ‘projects’ and ‘employee_projects,’ but there’s a bug causing duplicate rows in the ‘employee_projects’ table. Write a query to account for this error and select the top five most expensive projects by budget-to-employee count ratio.

3 - How would you write a SQL query to get the top five most expensive projects by budget to employee count ratio, excluding projects with 0 employees?

You have two tables, ‘projects’ and ‘employee_projects’. Each employee works on only one project. Write a query to get the top five most expensive projects by budget to employee count ratio, excluding projects with 0 employees.

To continue practicing, try the SQL learning path and the full list of SQL questions and solutions in our interview questions database.

1 - How would you design a system to detect firearm listings in violation of marketplace rules?

Assume you are designing a marketplace for a website. Selling firearms is prohibited by the website’s Terms of Service Agreement, and by the laws of your country. You need to develop a system that can automatically detect if a listing on the marketplace is selling a gun. Describe how you would accomplish this task.

2 - What distinguishes Logistic and Linear Regression, and when would each be used in practice?

In the field of machine learning and data science, Logistic and Linear Regression are two common methods used for prediction. Explain the differences between these two techniques and describe the specific circumstances under which each method would be most appropriate to use.

3 - What is the relationship between PCA and K-means clustering?

Principal Component Analysis (PCA) and K-means clustering are two widely used methods in data science. Please explain their relationship, considering their characteristics, methodologies, and common applications.

To prepare for machine learning interview questions, consider using the machine learning learning path. These resources will help you understand and solve complex machine learning problems.

1 - What is the probability of a biased coin landing as heads exactly 5 times out of 6 tosses? Given a biased coin that comes up heads 30% of the time when tossed, calculate the probability of the coin landing as heads exactly 5 times out of 6 tosses.

2 - What is the probability that it’s actually raining in Seattle given the responses from three friends? You are about to travel to Seattle and want to know if you should bring an umbrella. You call 3 random friends who live there, each with a ²⁄₃ chance of telling the truth and a ¹⁄₃ chance of lying. All 3 friends tell you it is raining. Calculate the probability that it’s actually raining in Seattle.

3 - What’s the probability of each subsequent card being larger than the previous drawn card from a shuffled deck of 500 cards? Imagine a deck of 500 cards numbered from 1 to 500. If all the cards are shuffled randomly, and you are asked to pick three cards, one at a time, calculate the probability of each subsequent card being larger than the previously drawn card.

For mastering Probability & Statistics, consider the statistics and A/B testing learning path and the probability learning path. These resources will help you understand and apply statistical concepts effectively.

Practice for the Booz Allen Hamilton interview with these recently asked interview questions.