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1
How would you differentiate Bayesian statistics from frequentist statistics?
Data Science
JPMorgan Chase
null
no
no
0
How would you estimate the rent revenue generated by Chase employees in a specific region? What factors and data points would you consider, and how would you structure your analysis?
Data Science
JPMorgan Chase
null
no
no
0
How would you evaluate the performance of a linear regression model?
Data Science
JPMorgan Chase
null
no
no
0
How would you evaluate the performance of the decision tree model after deployment?
Data Science
JPMorgan Chase
null
no
no
0
How would you evaluate the performance of the decision tree model before deployment?
Data Science
JPMorgan Chase
null
no
no
0
How would you evaluate whether using a decision tree is the correct model?
Data Science
JPMorgan Chase
null
no
no
0
How would you explain linear regression to a non-technical person?
Data Science
JPMorgan Chase
null
no
no
0
How would you explain Linear Regression to a non-technical person?
Data Science
JPMorgan Chase
null
no
no
0
How would you explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician?
Machine Learning
JPMorgan Chase
null
no
no
0
How would you explain the Linear regression to a non-technical person?
Data Science
JPMorgan Chase
null
no
no
0
How would you explain the Linear regression to the non- technical person?
Data Science
JPMorgan Chase
null
no
no
0
How would you find a prime number larger than a given number N?
Data Science
JPMorgan Chase
null
no
no
0
How would you handle multicollinearity in a linear regression model?
Data Science
JPMorgan Chase
null
no
no
0
How would you handle outliers in a linear regression model?
Data Science
JPMorgan Chase
null
no
no
0
How would you identify fraudulent transactions?
Data Science
JPMorgan Chase
null
no
no
0
How would you interpret a posterior distribution in a Bayesian context?
Data Science
JPMorgan Chase
null
no
no
0
How would you set up an A/B test to evaluate if changing a buttons color (red to blue) and/or its position (top to bottom) on a webpage increases click-through rates?
Data Analytics
JPMorgan Chase
null
no
no
0
How would you solve the problem of finding the intersection of two arrays of integers?
Data Science
JPMorgan Chase
null
no
no
0
How would you use a binary search to find the index of a given value within an array of integers?
Data Science
JPMorgan Chase
null
no
no
0
How would you use SQL with the lead and lag functions?
Data Engineer
JPMorgan Chase
null
no
no
0
How you are consuming data & what approaches are used to consume data in e-commerce applications?
Data Engineer
JPMorgan Chase
null
no
no
0
How you are consuming data & what approaches we used to consume data in e-commerce applications?
Data Engineer
JPMorgan Chase
null
no
no
0
How you can calculate the cost for the Databricks cluster
Data Engineer
JPMorgan Chase
null
no
no
0
How you can calculate the cost for the Databricks cluster?
Data Engineer
JPMorgan Chase
null
no
no
0
How you will do cost optimization if we want to save cost for AWS services?
Data Engineer
JPMorgan Chase
null
no
no
0
How you will handle 4 tasks in one sprint & how you connect with your manager for updates on your task?
Data Engineer
JPMorgan Chase
null
no
no
1
If a cake can be cut a maximum of 3 times, how many pieces can be created?
Data Analytics
JPMorgan Chase
null
no
no
0
If a high-priority task (P1) emerges during a sprint with three tasks, how would you manage four tasks within a single sprint and stay connected with your manager for updates?
Data Engineer
JPMorgan Chase
null
no
no
1
If you break a stick uniformly at two points, creating three pieces, whats the probability that a triangle can be formed from the three pieces?
Machine Learning
JPMorgan Chase
null
no
no
0
If you have to migrate the data from on-prem to off-premise cloud (AWS). what are the steps you will take care of while migrating data & ETL jobs?
Data Engineer
JPMorgan Chase
null
no
no
0
Imagine you are building a risk model for credit ratings at JPMorgan. How would you use linear regression or Bayesian methods in this scenario? What metrics or matrix properties would you look for to ensure robustness?
Data Science
JPMorgan Chase
null
no
no
0
Imagine you are working on a large-scale Spark job processing massive datasets, and the job is taking longer than expected. Can you walk us through how you would optimize this Spark job? What strategies would you use to improve performance?
Data Engineer
JPMorgan Chase
null
no
no
0
Imagine you have a Spark job that involves working with custom data types that are not supported out-of-the-box by Spark. How would you handle these custom data types in Spark?
Data Engineer
JPMorgan Chase
null
no
no
0
In a finance context, how could you use Bayesian inference to improve decision-making under uncertainty?
Data Science
JPMorgan Chase
null
no
no
0
In portfolio optimization, youre given a covariance matrix. How would you check if this matrix is positive semi-definite, and why does this property matter?
Data Science
JPMorgan Chase
null
no
no
0
In Spark, what is a broadcast join, and when would you use it? Can you explain how Spark decides to use a broadcast join and what potential performance improvements it offers over a regular shuffle join?
Data Engineer
JPMorgan Chase
null
no
no
0
In which Java version did lambda expressions get introduced?
Data Engineer
JPMorgan Chase
null
no
no
0
In which Java version JDK, lambda expressions come
Data Engineer
JPMorgan Chase
null
no
no
0
Integrity in relevant business scenarios. Discuss the statistical techniques you would employ to detect anomalies and the need for thorough data cleaning. Mention the significance of using diverse datasets to train models and regularly updating them with new data to reduce bias over time.
Data Science
JPMorgan Chase
null
no
no
0
Join two data frames and then apply filter where the country is Singapore
Data Engineer
JPMorgan Chase
null
no
no
0
Lets say that you are working on analyzing salary data. You are tasked by your manager with computing the average salary of a Data Science using a recency-weighted average. Write the function to compute the average Data Science salary given a mapped linear recency weighting on the data?
Data Science
JPMorgan Chase
null
no
no
0
Lets say were comparing two machine learning algorithms. In which case would you use a bagging algorithm versus a boosting algorithm?
Data Science
JPMorgan Chase
null
no
no
0
Lets say you have a categorical variable with thousands of distinct values, how would you encode it?
Data Analytics
JPMorgan Chase
null
no
no
0
Lets suppose you have been given 3 tasks in sprint, & you are suddenly working on suddenly new task which is P1. So how you will handle these 4 tasks in one sprint & how you connect with your manager for updates on your task
Data Engineer
JPMorgan Chase
null
no
no
1
map the end-to-end flow of the open-source Datahub Spline project showing how Spark listeners capture upstream and downstream table metadata
Data Engineer
JPMorgan Chase
null
no
no
0
Outline strategies for optimizing Spark jobs to enhance performance and efficiently manage resources.
Data Engineer
JPMorgan Chase
null
no
no
0
Please describe a time when a planned situation did not go as expected.
Data Science
JPMorgan Chase
null
no
yes
0
Please introduce yourself and discuss your intern experience in securities.
Data Analytics
JPMorgan Chase
null
no
yes
0
Please solve the given question using any programming language you are comfortable with.
Data Science
JPMorgan Chase
null
no
no
0
Provide an example of a financial problem where linear regression might be a suitable modeling approach.
Machine Learning
JPMorgan Chase
null
no
no
0
Provide an example of a time when you had to troubleshoot a complex issue.
Data Analytics
JPMorgan Chase
null
no
no
1
Python: Find the 2nd highest from the list
Data Science
JPMorgan Chase
null
no
no
0
Read data from 3 files into Pandas DataFrame Remove some columns Filter rows based on indexes Search for strings in the DataFrame
Data Engineer
JPMorgan Chase
null
no
no
0
Remove the columns from this data frame & remove any rows based on index position
Data Engineer
JPMorgan Chase
null
no
no
0
Search string in the whole data frame. How you will find them
Data Engineer
JPMorgan Chase
null
no
no
0
Share an instance where feedback led to a significant improvement in your work.
Machine Learning
JPMorgan Chase
null
no
no
1
Share an instance where you adapted to changing project requirements. How did you handle the shift?
Machine Learning
JPMorgan Chase
null
no
no
1
Showcase the city of Singapore first whose count of people is highest on top
Data Engineer
JPMorgan Chase
null
no
no
0
Sort floating numbers between 0-1 in low memory (only 4GB available but file is 32 GB)?
Data Science
JPMorgan Chase
null
no
no
0
SQL: query which uses Windows function, group by etc
Data Science
JPMorgan Chase
null
no
no
0
Suppose you are tasked with forecasting credit risk for JPMorgan's portfolio. How could you incorporate Bayesian methods to improve predictions?
Data Science
JPMorgan Chase
null
no
no
0
Suppose you have a time series of asset prices, and you want to build a model to predict future prices. How would you approach this task using linear regression, and how might Bayesian methods improve your model?
Data Science
JPMorgan Chase
null
no
no
0
Suppose you have data on customer spending and various financial metrics. How would you use linear regression to predict spending behavior?
Data Science
JPMorgan Chase
null
no
no
0
Suppose you have two dataframe df1 and df2, both have the below columns. df1 => id, name, df2 => id, country, address, city, count. Suppose you want to join two data frames and then apply a filter where the country is Singapore. Then pivot the output dataframe. Finally, you have to showcase the city of Singapore...
Data Engineer
JPMorgan Chase
null
no
no
0
Talk about one machine learning method you usually use?
Machine Learning
JPMorgan Chase
null
no
no
0
Tell me a time where you were in a team and there was a conflict. How did you address that problem?
Data Science
JPMorgan Chase
null
no
no
1
Tell me about a situation where you had to work with incomplete data. How did you handle the challenges and ensure accuracy?
Data Engineer
JPMorgan Chase
null
no
no
0
Tell me about a time when you had to deal with a difficult team member?
Data Science
JPMorgan Chase
null
no
yes
1
Tell me about a time when you handled a difficult stakeholder.
Machine Learning
JPMorgan Chase
null
no
yes
1
Tell me about a time you disagreed with someone?
Machine Learning
JPMorgan Chase
null
no
no
0
Tell me about a time you solved a difficult problem at work.
Data Science
JPMorgan Chase
null
no
no
1
Tell me about your understanding of data privacy and security considerations in data engineering projects.
Data Engineer
JPMorgan Chase
null
no
no
0
Tell me about yourself ?
Data Science
JPMorgan Chase
null
no
no
1
Tell me about yourself?
Machine Learning
JPMorgan Chase
null
no
no
1
Tell me one weakness you have
Data Analytics
JPMorgan Chase
null
no
no
1
Tell me three things about you
Data Analytics
JPMorgan Chase
null
no
no
1
Tell us a little about yourself
Data Science
JPMorgan Chase
null
no
no
0
Tell us about a time when you had to explain complex data science concepts to non-technical stakeholders. How did you ensure they understood?
Data Science
JPMorgan Chase
null
no
no
0
Tell us about the project which was a failure.
Data Science
JPMorgan Chase
null
no
no
0
There are n nodes, each node are the number of cities, how many ways we can visit all cities without repetition.
Data Science
JPMorgan Chase
null
no
no
0
Two strings are said to be complete if on concatenation, they contain all the 26 English alphabets. Find the number of pairs that are complete on concatenating each string from set 1 to each string from set 2
Data Engineer
JPMorgan Chase
null
no
no
0
Two strings are said to be complete if, on concatenation, they contain all 26 English alphabets. For example, abcdefghi and jklmnopqrstuvwxyz are complete as they together have all characters from a to z. We are given two sets of sizes n and m respectively and we need to find the number of pairs that are complete on co...
Data Engineer
JPMorgan Chase
null
no
no
0
Use a binary search to find the index of a given value within an array of integers.
Data Science
JPMorgan Chase
null
no
no
0
Use a binary search to find the index of a given value within an array of integers.
Data Science
JPMorgan Chase
null
no
no
0
What algorithms do you know?
Data Science
JPMorgan Chase
null
no
no
0
What are *args and **kwargs in Python?
Data Engineer
JPMorgan Chase
null
no
no
0
What are residuals, and why is it important to analyze them in regression?
Data Science
JPMorgan Chase
null
no
no
0
What are Software Metrics?
Data Analytics
JPMorgan Chase
null
no
no
0
What are the advantages and disadvantages of using Airflow compared to other data pipeline orchestration tools like Luigi or Prefect?
Data Engineer
JPMorgan Chase
null
no
no
0
What are the benefits of feature scaling in a logistic regression model?
Data Science
JPMorgan Chase
null
no
no
0
What are the daily tasks that you worked on?
Data Engineer
JPMorgan Chase
null
no
no
1
What are the different services I used on AWS?
Data Engineer
JPMorgan Chase
null
no
no
0
What are the different types of testing? Can you explain unit testing, integration testing, and regression testing?
Data Engineer
JPMorgan Chase
null
no
no
0
What are the drawbacks of one-hot encoding for categorical variables with many distinct values?
Data Analytics
JPMorgan Chase
null
no
no
0
What are the key assumptions of linear regression, and how would you check for them in a real-world dataset?
Data Science
JPMorgan Chase
null
no
no
0
What are the limitations of solely relying on the R-Squared value when assessing the fit of a model to the given data and establishing a relationship between two variables?
Data Analytics
JPMorgan Chase
null
no
no
0
What are the steps to migrate on-prem data and ETL jobs to AWS cloud
Data Engineer
JPMorgan Chase
null
no
no
0
What are the steps you will take care of while migrating data & ETL jobs from on-prem to off-premise cloud (AWS)?
Data Engineer
JPMorgan Chase
null
no
no
0
What are the types of SQL Joins?
Data Analytics
JPMorgan Chase
null
no
no
0
What are you doing currently
Data Science
JPMorgan Chase
null
no
no
0