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1
Whats wrong with training and testing a machine learning model on the same data?
Data Science
Stripe
null
no
no
0
Whats your experience with orchestration tools such as Kubernetes or Docker Swarm?
All
null
null
no
yes
0
When an algorithm detects a review as fake, what is the percentage chance that the review is actually fake?
All
PayPal
null
no
no
0
When are 'VARCHAR' and 'CHAR' used?
SQL
Glider
2,023
no
no
0
when are svms preferable to Machine Learning models?
Machine Learning
IBM
null
no
no
0
When comparing two machine learning algorithms, in which case would you use a bagging algorithm versus a boosting algorithm?
Data Science
Visa
null
no
no
0
When considering foreign key constraints, when should you consider a cascade delete or a set null?
Data Engineer
Mastercard
null
no
no
0
When creating a metric to compare two user's Netflix recommended lists of movie/tv show preferences, what steps would you take to ensure its reliability and accuracy?
Data Science
Coinbase
null
no
no
0
When creating a statistical model, how do we detect overfitting?
Machine Learning
null
null
no
no
0
When creating a statistical model, how do we detect overfitting?
Data Science
null
null
no
no
0
When designing a comprehensive fact table, what key considerations do you need to keep in mind? Can you explain the steps to create one, and how do you determine the granularity of the fact table?
Data Engineer
JPMorgan Chase
null
no
no
0
when designing neural networks for image classification, how does the adam optimization algorithm differ in the way it works from other optimization methods?
Machine Learning
AWS
null
no
no
0
When did you take an unpopular decision
Data Science
Chime
null
no
no
1
When evaluating late orders at a food delivery company, is the average or median a better metric?
Data Analytics
JPMorgan Chase
null
no
no
0
When faced with a new machine learning problem, how do you determine which algorithm to implement?
Machine Learning
Robinhood
null
no
no
0
When faced with skewed data in model evaluation, how do you proceed and what metrics do you consider?
Data Science
SAP
null
no
no
0
When have you taken a risk?
Data Science
SoFi
null
no
no
1
When I joined my previous company, the teams were constantly engaged in handling production issues and attending numerous business meetings, which severely impacted their productivity and capacity for future deliverables. How would you handle it?
Data Science
Coinbase
null
no
no
1
When is a window function more efficient than a join?
Data Engineer
Plaid
null
no
no
0
when is it better to use classification over regression?
Machine Learning
AWS
null
no
no
0
when is resampling done?
Data Science
IBM
null
no
no
0
When is the median a better metric than the mean?
Data Analytics
JPMorgan Chase
null
no
no
0
when is the t-test used and when is the z-test used?
Data Analytics
AWS
null
no
no
0
when is the t-test used instead of the z-test?
Data Analytics
AWS
null
no
no
0
when is the t-test used?
Data Analytics
AWS
null
no
no
0
when is the z-test used?
Data Analytics
AWS
null
no
no
0
When it comes to ETL, what steps do you take to ensure accuracy of the data?
Data Science
Coinbase
null
no
no
0
When it comes to your current role, what is your biggest achievement?
Data Science
SAP
null
no
no
1
When preparing data for a machine learning model with imbalanced classes, what steps would you take to address the imbalance and ensure the model performs well?
Data Analytics
Mastercard
null
no
no
0
When presented with a high-dimensional dataset in a machine learning challenge, how would you approach it?
Data Science
Chime
null
no
no
0
When should regularization be used over cross-validation in machine learning?
Machine Learning
JPMorgan Chase
null
no
no
0
When should we use decision trees, and what are the potential risks associated with them?
Data Science
Robinhood
null
no
no
0
When should you use a t-test vs a z-test?
Data Science
null
null
no
no
0
when should you use one over the other?
Data Science
SAP
null
no
no
0
when to use the t-test versus the z-test?
Data Analytics
AWS
null
no
no
0
when using a gaussian mixture model, how do you know it is applicable?
Data Science
Google
null
no
no
0
When utilizing hypothesis testing, what are type I and type II errors, and which error would you say is more detrimental?
Data Science
Coinbase
null
no
no
0
When was the last time you looked at the stock market
Data Analytics
JPMorgan Chase
null
no
no
1
When was the last time you took a risk?
Data Science
Chime
null
no
no
1
When was the time you went beyond expectations during a project?
All
PayPal
null
no
no
1
When we have data with a hierarchical structure, such as product categories and subcategories, which chart will be best suitable to show this hierarchy?
Tableau
null
null
no
no
0
When we will use the SCRIPT_REAL functions in Tableau?
Tableau
null
null
no
no
0
when will you use classification over regression
Machine Learning
AWS
null
no
no
0
When Will You Use Classification over Regression?
Machine Learning
null
null
no
no
0
When Will You Use Classification over Regression?
Machine Learning
null
null
no
no
0
when will you use classification over regression?
Machine Learning
AWS
null
no
no
0
When will you use geographical data type in Tableau?
Data Analytics
null
null
no
no
0
When working on Machine Learning models, how do you decide whether to use Rectified Linear Unit or another activation function?
Data Science
Coinbase
null
no
no
0
When would you choose bagging algorithm over boosting, and what are their tradeoffs?
Machine Learning
JPMorgan Chase
null
no
no
0
When would you choose DataFrames over RDDs?
Data Engineer
JPMorgan Chase
null
no
no
0
When would you choose RDDs over DataFrames?
Data Engineer
JPMorgan Chase
null
no
no
0
When would you use a bagging algorithm versus a boosting algorithm?
Data Analytics
Chime
null
no
no
0
When would you use a bagging algorithm versus a boosting algorithm?
Data Analytics
American Express
null
no
no
0
When Would You Use the Binomial Distribution in a Real-World Scenario?
Data Analytics
Mastercard
null
no
no
0
When would you use the COALESCE() function?
SQL
Mastercard
null
no
no
0
When would you use triple quotes as a delimiter?
Python
null
null
no
no
0
When you look back on the past, what was your greatest challenge?
Data Science
Coinbase
null
no
no
1
When You Sample, What Bias Are You Inflicting?
Data Analytics
null
null
no
no
0
When you split a population for A/B testing, what are some reasons you could see a significant difference in the control and variant groups?
Data Science
Coinbase
null
no
no
0
When you use the ORDER BY statement, how are the results ordered by default, and how can you specify a different order for sorting the data?
SQL
Glider
2,024
no
no
0
whenever a user writes a question, we want to return the closest answer from a list of faqs. what are some machine learning methods for building this system?
Data Science
Nvidia
null
no
no
0
Whenever Python exits, why isn’t all the memory de-allocated?
Python
null
null
no
no
0
Where are Financial Analysts recruited from?
Data Analytics
Glider
2,023
no
no
0
Where are long-tailed distributions used?
Data Science
null
null
no
no
0
Where are long-tailed distributions used?
Machine Learning
null
null
no
no
0
Where did you face a challenge in a previous duty where you had a great deal of responsibility?
Data Science
Coinbase
null
no
no
1
Where do you find yourself in terms of balancing your current workload?
Data Science
Coinbase
null
no
no
1
Where do you reshape data in Power BI?
Data Analytics
null
null
no
no
0
Where do you see yourself in 4 years?
Data Analytics
Goldman Sachs
null
no
no
1
Where do you see yourself in 5 years?
Data Analytics
JPMorgan Chase
null
no
no
1
Where do you see yourself in 5 years?
Data Analytics
Goldman Sachs
null
no
no
1
Where do you see yourself in 5 years?
Data Analytics
PayPal
null
no
no
1
Where do you see yourself in 5 years?
All
Mastercard
null
no
no
1
Where do you see yourself in five years?
Data Science
Stripe
null
no
no
1
Where do you see yourself in five years?
Data Analytics
PayPal
null
no
no
1
Where do you see yourself in five years?
Data Engineer
Visa
null
no
no
1
Where do you see yourself in the next 5 years?
All
Mastercard
null
no
no
1
Where do you usually source datasets from?
Machine Learning
Glider
2,023
no
no
1
Where is data stored in Power BI?
Data Engineer
null
null
no
no
0
Where is inferential statistics used?
Data Science
null
null
no
no
0
Where is the data stored in Power BI?
Data Analytics
null
null
no
no
0
where is time series analysis (tsa) commonly used?
Data Analytics
AWS
null
no
no
0
where is time series analysis commonly used?
Data Analytics
AWS
null
no
no
0
Where is time series analysis used?
Data Analytics
null
null
no
no
0
where might you find that data?
Data Analytics
IBM
null
no
no
1
Where might you find that data?
Data Engineer
Pico MES
null
no
no
1
Where might you find the data to estimate the weekly profit of your favorite restaurant?
Data Analytics
Pico MES
null
no
no
0
Where so you see yourself in next 5 years?
Data Science
SAP
null
no
no
1
Where will you see yourself in 4 years?
Data Analytics
Goldman Sachs
null
no
no
1
Where you can or should use a foreign key?
SQL
Glider
2,023
no
no
0
Whether decision tree or random forest is more robust to the outliers.
Machine Learning
null
null
no
no
0
Whether decision tree or random forest is more robust to the outliers.
Machine Learning
null
null
no
no
0
Whether the metric MAE or MSE or RMSE is more robust to the outliers.
Machine Learning
null
null
no
no
0
Whether the metric MAE or MSE or RMSE is more robust to the outliers.
Machine Learning
null
null
no
no
0
Which 3 personality traits do you think make you a success? In what ways do they align with Chime?
Data Science
Chime
null
no
no
0
which activation function would you choose in a neural network to classify images of different types of chairs?
Machine Learning
AWS
null
no
no
0
which algorithm can quickly approximate a value?
Data Analytics
AWS
null
no
no
0
which algorithms are most widely used in machine learning?
Machine Learning
AWS
null
no
no
0
Which are the file related libraries/modules in Python?
Python
null
null
no
no
0
Which are the technical tools that you have used for analysis and presentation purposes?
Data Analytics
null
null
no
no
0