Radiant Cash Management Services Data Management Executive Interview Questions and Answers

Q1. Detailed project questions
Add your answer
Q2. Explain completed gen ai project
Ans. 
Developed a generative AI model to create realistic images of fictional characters.
• Used GANs (Generative Adversarial Networks) to generate new images based on existing data.

• Trained the model on a dataset of character images from various sources.

• Implemented techniques like style transfer to enhance the diversity and creativity of generated images.

• Evaluated the model's performance based on image quality metrics and user
Answered by AI
Add your answer

Basic aptitude questions

Data structure and algorithms

Q1. Java, SQL questions
Add your answer

Q1. Casual talk about roles
Add your answer

Q1. What is lazy evaluation in spark.
Ans. 
Lazy evaluation in Spark delays the execution of transformations until an action is called.
• Lazy evaluation allows Spark to optimize the execution plan by combining multiple transformations into a single stage.

• Transformations are not executed immediately, but are stored as a directed acyclic graph (DAG) of operations.

• Actions trigger the execution of the DAG and produce results.

• Example: map() and filter() are transformat...read more
Answered by AI
Add your answer
Q2. What is mapreduce
Ans. 
MapReduce is a programming model and processing technique for parallel and distributed computing.
• MapReduce is used to process large datasets in parallel across a distributed cluster of computers.

• It consists of two main functions - Map function for processing key/value pairs and Reduce function for aggregating the results.

• Popularly used in big data processing frameworks like Hadoop for tasks like data sorting, searching...read more
Answered by AI
Add your answer

Q1. What is skewness and skewd tables
Ans. 
Skewness is a measure of asymmetry in a distribution. Skewed tables are tables with imbalanced data distribution.
• Skewness is a statistical measure that describes the asymmetry of the data distribution around the mean.

• Positive skewness indicates a longer tail on the right side of the distribution, while negative skewness indicates a longer tail on the left side.

• Skewed tables in data engineering refer to tables with imba...read more
Answered by AI
Add your answer

Q1. What is spark and explain working
Ans. 
Spark is a distributed computing framework designed for big data processing.
• Spark is built around the concept of Resilient Distributed Datasets (RDDs) which allow for fault-tolerant parallel processing of data.

• It provides high-level APIs in Java, Scala, Python, and R for ease of use.

• Spark can run on top of Hadoop, Mesos, Kubernetes, or in standalone mode.

• It includes modules for SQL, streaming, machine learning, and gra...read more
Answered by AI
Add your answer

Q1. Tell me about your experience with Thoughtspot BI tool.
Ans. 
I have extensive experience using Thoughtspot BI tool to analyze and visualize data.
• Utilized Thoughtspot to create interactive dashboards for stakeholders

• Performed data cleaning and transformation within Thoughtspot platform

• Generated insights and recommendations based on data analysis in Thoughtspot
Answered by AI
Add your answer
Q2. What is your experience with API integration in Thoughtspot?
Ans. 
I have extensive experience with API integration in Thoughtspot.
• Developed custom API integrations to pull data from external sources into Thoughtspot

• Utilized Thoughtspot's REST API to automate data loading and report generation

• Worked closely with IT teams to troubleshoot and optimize API connections
Answered by AI
Add your answer

Q1. PartitionBy vs bucketBy in spark
Add your answer

Q1. How do you define model Gini?
Ans. 
Model Gini is a measure of statistical dispersion used to evaluate the performance of classification models.
• Model Gini is calculated as twice the area between the ROC curve and the diagonal line (random model).

• It ranges from 0 (worst model) to 1 (best model), with higher values indicating better model performance.

• A Gini coefficient of 0.5 indicates a model that is no better than random guessing.

• Commonly used in credit
Answered by AI
Add your answer
Q2. How to you train XG boost model
Ans. 
XGBoost model is trained by specifying parameters, splitting data into training and validation sets, fitting the model, and tuning hyperparameters.
• Specify parameters for XGBoost model such as learning rate, max depth, and number of trees

• Split data into training and validation sets using train_test_split function

• Fit the XGBoost model on training data using fit method

• Tune hyperparameters using techniques like grid search
Answered by AI
Add your answer

Q1. Asked about skillsets & tools used in the current job. I was asked basic questions on SQL & Tableau
Add your answer

Detailed interview on SQL, Tableau & Alteryx

Q1. Tell me about your projects
Add your answer
Q2. What do you know about mutual funds
Ans. 
Mutual funds are investment vehicles that pool money from multiple investors to invest in a diversified portfolio of securities.
• Mutual funds are managed by professional fund managers who make investment decisions on behalf of the investors.

• Investors can buy shares of mutual funds, which represent their ownership in the fund's portfolio.

• Mutual funds offer diversification, liquidity, and professional management to invest...read more
Answered by AI
Add your answer

Q1. Do you have prior experience with ML
Add your answer
Q2. What are your long term plans
Add your answer