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0
1
What are the main applications of SQL?
SQL
Glider
2,024
no
no
0
What DBMS types are you familiar with?
SQL
Glider
2,024
no
no
0
Based on the customer spending data, how would you determine what our next partner card should be?
Data Science
American Express
null
no
yes
0
Can you describe a situation in which you had to communicate complex technical information to a non-technical audience?
Data Science
American Express
null
no
yes
1
Can you give an example of a project you worked on using Python?
Data Analytics
American Express
null
no
no
0
Can you write a function to find the sum of two numbers?
Data Science
American Express
null
yes
no
0
Describe a situation where you made a data-driven decision using Python.
Data Analytics
American Express
null
no
yes
0
Describe a time when you had to coordinate with another team.
Data Science
American Express
null
no
yes
1
Describe the concept of hypothesis testing and when it is used?
Data Science
American Express
null
no
no
0
Discuss common preprocessing steps in NLP before modeling.
Data Analytics
American Express
null
no
no
0
Discuss key hyperparameters in XGBoost and their impact on model performance.
Data Analytics
American Express
null
no
no
0
Discuss the characteristics of the Normal Distribution and its applications.
Data Analytics
American Express
null
no
no
0
Discuss the impact on model performance.
Data Analytics
American Express
null
no
no
0
Does increasing the number of trees in a random forest always improve accuracy?
Data Analytics
American Express
null
no
no
0
Explain how Gradient Descent works.
Data Science
American Express
null
no
no
0
Explain how to calculate the mean, median, and mode of a set of data?
Data Science
American Express
null
no
no
0
Explain the concept of Named Entity Recognition (NER) in NLP.
Data Analytics
American Express
null
no
no
0
Explain the concept of probability and its applications in data science?
Data Science
American Express
null
no
no
0
Explain the difference between depth-first search and breadth-first search algorithms?
Data Science
American Express
null
no
no
0
Explain the difference between list and tuple in Python.
Data Analytics
American Express
null
no
no
0
Explain the different types of SQL joins and their usage.
Data Analytics
American Express
null
no
no
0
Explain the purpose of the return statement in Python functions.
Data Analytics
American Express
null
no
no
0
Explain the steps involved in hypothesis testing.
Data Analytics
American Express
null
no
no
0
Explain the XGBoost algorithm and its advantages.
Data Analytics
American Express
null
no
no
0
Explain what Z-tests and t-tests are, their purposes, and the differences between them.
Data Analytics
American Express
null
no
no
0
Explain your approach to finding the most common elements in an array?
Data Science
American Express
null
no
no
0
Given a dataset, how do you perform KNN on it?
Data Science
American Express
null
no
no
0
Given a dataset, how would you analyze the dataset to understand exactly where the revenue loss is occurring?
Data Science
American Express
null
no
no
0
Given a list of integers, write a function that returns the maximum number in the list. If the list is empty, return None?
Data Science
American Express
null
yes
no
0
Given a scenario, what pipelines would be effective to solve a data science problem?
Data Science
American Express
null
no
no
0
Given a training set of users with their demographic information, a psychological test of their personality (openness to like pages or not) and the pages of FB they have liked so far, how could we predict the gender, age and other demographics of unseen data?
Data Science
American Express
null
no
no
0
Given two tables: employees and projects, find the sum of the salaries of all the employees who didnt complete any of their projects?
Data Science
American Express
null
no
no
0
How can NLP be applied to perform sentiment analysis?
Data Analytics
American Express
null
no
no
0
How can you generate even numbers from 1 to 10 using a list comprehension?
Data Analytics
American Express
null
no
no
0
How can you measure 4 gallons using only 3-gallon and 5-gallon jugs?
Data Analytics
American Express
null
no
no
0
How do GROUP BY and HAVING clauses differ in SQL?
Data Analytics
American Express
null
no
no
0
How do lists and tuples differ in Python?
Data Analytics
American Express
null
no
no
0
How do you approach Exploratory Data Analysis (EDA) using SQL and statistics?
Data Analytics
American Express
null
no
no
0
How do you handle and avoid overfitting?
Data Science
American Express
null
no
no
0
How do you handle conflicts with team members or coworkers?
Data Science
American Express
null
no
no
0
How do you see NLP being used at American Express for customer service improvement?
Data Analytics
American Express
null
no
no
1
How do you tailor your resume to align with the qualifications listed in the job posting?
Data Science
American Express
null
no
no
1
How many years of experience do you have in data science?
Data Science
American Express
null
no
yes
1
How would you approach solving a complex problem with limited information?
Data Analytics
American Express
null
no
no
1
How would you build a credit card fraud detection model?
Data Science
American Express
null
no
no
0
How would you build a strategy to find the best businesses to reach out to?
Data Analytics
American Express
null
no
no
1
How would you create a list of even numbers from 1 to 10 using list comprehension?
Data Analytics
American Express
null
no
no
0
How would you prioritize multiple deadlines?
Data Science
American Express
null
no
no
1
How would you resolve a conflict between your colleague?
Data Science
American Express
null
no
no
1
If a logistic model is heavily weighted on a variable, and some values in that variable have lost their decimal points (e.g., 100.00 becomes 10000), is the model still valid? Why or why not, and how would you fix it?
Data Science
American Express
null
no
no
0
If you sequentially increase the number of trees in a random forest model, will the accuracy continue to increase?
Data Analytics
American Express
null
no
no
0
Is a logistic model valid if a key variable has data quality issues?
Data Analytics
American Express
null
no
no
0
Name a Python library commonly used for data manipulation and analysis.
Data Analytics
American Express
null
no
no
0
Provide an example of a situation where you would choose XGBoost over random forest
Data Analytics
American Express
null
no
no
0
Specify scenarios where one test is preferred over the other.
Data Analytics
American Express
null
no
no
0
What are common SQL aggregation functions?
Data Analytics
American Express
null
no
no
0
What are some applications of NLP for American Express?
Data Analytics
American Express
null
no
no
0
What are some common SQL aggregation functions and their use cases?
Data Analytics
American Express
null
no
no
0
What are the advantages of using XGBoost over traditional machine learning algorithms?
Data Analytics
American Express
null
no
no
0
What are the differences between XGBoost and random forest algorithms?
Data Analytics
American Express
null
no
no
0
What are the different types of SQL joins?
Data Analytics
American Express
null
no
no
0
What are the metrics used in machine learning?
Data Science
American Express
null
no
no
0
What are the preprocessing steps in NLP?
Data Analytics
American Express
null
no
no
0
What are the steps for hypothesis testing?
Data Analytics
American Express
null
no
no
0
What are the Z and t-tests, and when should you use each?
Data Analytics
American Express
null
no
no
0
What are the Z and t-tests? when should you use each?
Data Analytics
American Express
null
no
no
0
What are you passionate about?
Data Science
American Express
null
no
no
0
a combination of multiple algorithms or an ensemble method may be more effective than using a single algorithm. how do you fine-tune a pre-trained model using amazon sagemaker?
Machine Learning
AWS
null
no
no
0
assume you're given a table containing amazon purchasing activity. write a query to calculate the cumulative purchases for each product type, ordered chronologically. the output should consist of the order date, product, and the cumulative sum of quantities purchased.
Data Science
AWS
null
yes
no
0
assume you're given a table containing data on amazon customers and their spending on products in different category, write a query to identify the top two highest-grossing products within each category in the year 2022. the output should include the category, product, and total spend.
Data Science
AWS
null
yes
no
0
can aws elastic beanstalk handle development, staging, and production environments?
Data Analytics
AWS
null
no
no
0
can you describe a challenging project you worked on where you had to collaborate with cross-functional teams? what were the key challenges, and how did you overcome them?
Data Science
AWS
null
no
yes
1
can you describe how to specify variables in sas code?
Data Analytics
AWS
null
no
no
0
can you describe the basic syntax for developing sas code?
Data Analytics
AWS
null
no
no
0
can you describe the basic syntax of writing code in sas?
Data Analytics
AWS
null
no
no
0
can you describe your interests, ambitions, and visions, and how they align with the companys substructure?
Data Analytics
AWS
null
no
no
1
can you describe your most recent college program and how you expect to put it to good use in the days ahead?
Data Analytics
AWS
null
no
no
1
can you describe your understanding of the field of data analysis?
Data Analytics
AWS
null
no
no
0
can you discuss a scalable approach to analyzing this data and extracting valuable insights using machine learning techniques?
Data Science
AWS
null
no
no
0
can you discuss a statistical approach to identify trends and patterns in customer behavior data to improve marketing strategies?
Data Science
AWS
null
no
no
0
can you discuss a time when you received constructive feedback on your work? how did you handle it, and what did you learn from the experience?
All
AWS
null
no
yes
1
can you explain the basic syntax style of writing code in sas?
Data Analytics
AWS
null
no
no
0
can you explain the difference between list comprehension and generator expressions in python? when would you use each one, and why?
Data Science
AWS
null
no
no
0
can you give an example of a complex problem you solved and how you went about it?
All
AWS
null
no
no
1
can you list any relevant certifications you have and explain how they have benefited you?
All
AWS
null
no
no
1
can you propose a statistical approach to analyze customer feedback data and prioritize areas for product and service enhancements?
Data Science
AWS
null
no
no
0
can you share an example of a creative solution you implemented to solve a problem in a previous data science role?
Data Science
AWS
null
no
no
1
can you tell me about a time when you had to ensure code versions and variants were safe and secure?
Data Analytics
AWS
null
no
yes
0
can you walk me through your thought process in a data analysis scenario without using computers or datasets?
Data Analytics
AWS
null
no
no
0
compare k-means and knn algorithms
Machine Learning
AWS
null
no
no
0
compare k-means and knn algorithms.
Machine Learning
AWS
null
no
no
0
describe a long-term goal and how you plan to achieve it.
All
AWS
null
no
no
1
describe a situation where you had to prioritize multiple competing tasks or projects. how did you manage your time effectively, and what was the result?
Data Science
AWS
null
no
yes
0
describe how you would use machine learning to optimize amazon's supply chain management, ensuring timely delivery and minimizing costs.
Data Science
AWS
null
no
yes
0
describe linear regression vs. logistic regression
Machine Learning
AWS
null
no
no
0
describe the process of designing a statistical model to predict product demand for amazon's inventory management system. what factors would you consider, and how would you validate the model?
Data Science
AWS
null
no
no
0
design an email spam filter.
Machine Learning
AWS
null
no
no
0
different types of machine learning
Machine Learning
AWS
null
no
no
0
differentiate between bagging and boosting.
Machine Learning
AWS
null
no
no
0
differentiate between correlation and covariance.
Machine Learning
AWS
null
no
no
0