Petpooja Customer Service Associate Interview Questions and Answers

Easy assignment with basic questions on patent

Essay writing to check english.

General aptitude test on an online platform with camera and mic monitoring.

Q1. One on one round with manager and senior manager. Basic questions about day to day responsibilities and tech stack.
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Logical, statistics, Aptitude, Data science and analytics

Q1. Difference between Delete and Truncate in SQL
Ans. 
Delete removes specific rows from a table, while Truncate removes all rows from a table.
• Delete is a DML command, while Truncate is a DDL command.

• Delete can be rolled back, while Truncate cannot be rolled back.

• Delete maintains the table structure and indexes, while Truncate resets the table structure and indexes.

• Delete triggers delete triggers and delete constraints, while Truncate does not trigger any triggers or const...read more
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Q2. Assumptions of regression
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Assumptions of regression
• Linearity: The relationship between the independent and dependent variables is linear.

• Independence: The residuals are independent of each other.

• Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

• Normality: The residuals are normally distributed.

• No multicollinearity: The independent variables are not highly correlated with each other.
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Very basic aptitude questions in a live mettle like platform

Q1. Questions on regression and patient data.
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Q1. General check for cultural fit
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Q1. Scd type 1, 2,3,4
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Q2. Joins, left,right,full,cross
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Q1. General topics like previous projects and managerial questions
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Q2. Managerial questions to know you
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Q1. Salary discussion
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Q2. Culture about Axtria and policies
Ans. 
Axtria promotes a collaborative and inclusive culture with a focus on innovation and growth.
• Axtria values diversity and inclusion in the workplace

• The company encourages innovation and creativity

• There are policies in place to support employee growth and development

• Axtria promotes a collaborative work environment
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Q1. Ridge and lasso regression difference
Ans. 
Ridge and lasso regression are both regularization techniques used in linear regression to prevent overfitting by adding penalty terms to the cost function.
• Ridge regression adds a penalty term equivalent to the square of the magnitude of coefficients, while lasso regression adds a penalty term equivalent to the absolute value of the magnitude of coefficients.

• Ridge regression tends to shrink the coefficients towards zer...read more
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Q2. Random forest vs decision tree vs xg boost
Ans. 
Random forest is an ensemble method using multiple decision trees, XGBoost is a gradient boosting algorithm that builds trees sequentially.
• Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.

• Decision tree is a single tree model that makes decisions based on features to predict outcomes.

• XGBoost is a gradient boosting algorithm that builds trees sequentially, op...read more
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Q1. Why do you not want to opt for higher studies
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Q2. What to do when a team member is not collaborating
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