KPI Partners IT Supporter Interview Questions and Answers

Q1. How much expected salary
Ans. 
Negotiable based on experience and responsibilities
• Salary expectations are dependent on the specific role, responsibilities, and industry standards

• Consider factors such as location, company size, and benefits package when determining salary expectations

• Research average salaries for similar positions in the industry to have a realistic expectation
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Aptitude and combined coding tests

Q1. Design a parking app or design a web or mobile app where farmers can directly sell their produce
Ans. 
Design a web/mobile app for farmers to directly sell their produce.
• Create a user-friendly interface for farmers to list their produce

• Include features for farmers to set prices and quantities

• Implement a search function for buyers to find specific produce

• Include a secure payment system for transactions

• Allow farmers to track their sales and manage inventory
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Q1. You have to explain the design of your previous round
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Worst experience company is not so good

Q1. What is object oriented programming
Ans. 
Object oriented programming is a programming paradigm based on the concept of objects, which can contain data and code.
• OOP focuses on creating objects that interact with each other to solve problems

• Encapsulation, inheritance, and polymorphism are key principles of OOP

• Examples of OOP languages include Java, C++, and Python
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Q2. Questions on data structute
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Aptitude test :Numerical,Logical and Behavioral

Group discussion - Conducted among 6-12 people

Q1. Introduction,Guesstimates & basic programming
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Q1. Project explanation:Final year project
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Q1. General HR discussion: Intro,Reasons for joining here
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There were 48 questions to be done in 60 minutes.
the platform used was below average.
about 1400 gave the test

The Next round was a GD.
about 250 were shortlisted.
it was held in groups of 10 - 13.
there were 2 Panelists observing the body language, the fluency and time you speak for.
It is very important that you either start or conclude the GD.
leaves a good impression.

Q1. Tell me about yourself
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Q2. What is Data Analysis?
Ans. 
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information.
• It involves collecting and organizing data

• It includes statistical analysis and visualization

• It helps in making informed decisions

• Examples include market research, financial analysis, and scientific research
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Q3. SQL Queries using Joins and sub-queries
Ans. 
SQL Queries using Joins and sub-queries
• Joins are used to combine rows from different tables based on a related column

• Sub-queries are queries nested within another query

• Joins and sub-queries can be used together to retrieve specific data from multiple tables
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Q4. Many questions about projects mentioned in the resume.
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Q5. Estimation and probability questions were asked to see the way you approach a question logically.
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Q1. Tell me about Yourself
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Q2. Again Questions based on resumes
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Q3. Some Regular HR Questions like why latent view, where to do you yourself in 5 years.....etc.
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Q4. Any questions for me?
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Topics will be mainly SQL and few python questions. Duration-3min to 1hr

Q1. What is CLT theorem and what are its uses
Ans. 
CLT theorem states that the distribution of sample means approaches a normal distribution as sample size increases.
• Central Limit Theorem (CLT) is a fundamental concept in statistics that states that the distribution of sample means approaches a normal distribution as the sample size increases.

• It is used in hypothesis testing, confidence intervals, and in estimating population parameters.

• CLT is essential in making infer...read more
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Q2. Asked to write SQL queries which uses join and window functions
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Q3. Explain ML Data preparation and EDA steps in detail. What are major steps in preprocessing
Ans. 
ML data preparation involves cleaning, transforming, and organizing data for analysis. EDA involves exploring and visualizing data to understand its characteristics.
• Data cleaning: removing missing values, handling outliers, and dealing with duplicates

• Data transformation: encoding categorical variables, scaling numerical features, and creating new features

• Data organization: splitting data into training and testing sets,...read more
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Q1. Mainly interviewer checked how sound I was in different concepts like statistics, ML
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Q2. Asked simple DL questions
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Q3. Guestimates- like how much milk is consumed in your city on average. Give an estimate and show your structured way of arriving at that value
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Q1. Why you want to join our comany?
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Q2. What made you leave your previous organization
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Q3. Salary negotations
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Q1. SQL based questions
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Q2. Logic based questions
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Q1. Situation based questions
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Q2. Questions related to company
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