RealPage Senior Process Associate Interview Questions and Answers

Q1. Finding the second maximum number in the list
Ans. 
To find the second maximum number in a list, sort the list in descending order and return the second element.
• Sort the list in descending order

• Return the second element in the sorted list
Answered by AI
Add your answer

Q1. Loops in Informatica
Ans. 
Loops in Informatica are used to iterate over a set of data or perform repetitive tasks.
• Loops in Informatica can be implemented using the 'Expression' or 'Router' transformations.

• They are useful for processing multiple rows of data in a mapping.

• Common types of loops include 'While' and 'For' loops.

• Loops can help in performing complex data transformations and validations.
Answered by AI
Add your answer

Q1. What is the reason for change
Add your answer

Two coding round in Javascript, first one to right CRUD operation in React.

Second one have to right JS for Flattened Array

Q1. Asking about Salary Structure
Add your answer

Some mcq questions and coding question. Both where easy to medium level. Prepare combination/permutation/Time complexity etc

A question related to Binary search and some other follow ups.

Q1. Exceptions and thread implementation
Add your answer
Q2. Basics of restful web services
Add your answer

Q1. Concepts on oops progressing the way that it will include
Add your answer
Q2. Answers on the dilegent way
Add your answer

They asked basic java programs
Adding 2 no by using strams.

Q1. 1) basic introduction 2) regrarding java selenium 3) Framework design 4) cicd pipeline 5) git 6) testng 7) postman
Add your answer

Q1. Basic salary discusion , notice period
Add your answer

Q1. Explain random forest
Ans. 
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
• Random forest is a type of ensemble learning method.

• It builds multiple decision trees during training.

• Each tree is built using a subset of the training data and a random subset of features.

• The final prediction is made by averaging the predictions of all the individual trees.

• Random...read more
Answered by AI
Add your answer
Q2. What is boosting
Ans. 
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
• Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.

• Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.

• Boosting is used to improve the accuracy of models and reduce bias and variance.
Answered by AI
Add your answer