J H V Sugar Interview Questions and Answers

Q1. Just asking about your current company and total overall experience
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Q1. Detailed discussion on dealer scouting and development
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Q2. Sales and marketing
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Q3. Technical questions about tractor and impliments
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What's your plan for the area development and new channel partner addition.

It was a website-based test and some average type questions

Advanced Python skills is required to clear the interview

Q1. Based on CV and experience
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Typical business problems and how to solve those

Q1. Case interview and other random questions
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Q1. About your self
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Q1. Sales skills, Negotiation
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Q1. How spring boot works internally?
Ans. 
Spring Boot is a framework that simplifies the development of Java applications by providing pre-configured settings and dependencies.
• Spring Boot uses an embedded Tomcat server to run the application.

• It provides auto-configuration for commonly used libraries and frameworks.

• Spring Boot uses Spring Framework's Inversion of Control (IoC) to manage dependencies.

• It also includes Spring Boot Actuator for monitoring and manag...read more
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Q2. What is Streaming api in java8?
Ans. 
Streaming API in Java 8 is a feature that allows processing of large data sets in a functional and efficient manner.
• Stream API provides a set of functional interfaces and methods to process data in a declarative way

• It supports parallel processing of data

• It can be used with collections, arrays, and I/O operations

• Example: List names = Arrays.asList("John", "Mary", "Bob"); long count = names.stream().filter(name -> name.s...read more
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Q1. What is pandas?
Ans. 
pandas is a Python library used for data manipulation and analysis.
• pandas provides data structures like DataFrame and Series for working with structured data

• It offers tools for cleaning, transforming, and analyzing data

• pandas can handle various data formats like CSV, Excel, SQL databases, and more
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Q2. While webscraping, do HTML tables also get extracted?
Ans. 
Yes, HTML tables can be extracted while webscraping.
• HTML tables can be extracted using libraries like BeautifulSoup in Python.

• The data from the HTML tables can be converted into a structured format like CSV or Excel.

• Webscraping tools like Octoparse and Import.io can also extract HTML tables.

• Regular expressions can be used to extract specific data from HTML tables.
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Q1. About Business how to trade in wheat purchase
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30 MINUTES , APPEALS AND TAXATION, AUDITING & COMPANY LAW