Kanhai Foods Interview Questions and Answers

Q1. Tell us about your work experience
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Q2. What is your notice period
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Create an online store, products, billings and shipping on the ERP

Write a code for HTML DOM

It's normal question easy to cark

It was online test with 3 coding questions and 18 mcqs

Give you 5 problem in maths , string, sql etc

Duration-60min, topics covered- financial literacy, logical thinking, reasoning and General awareness

Q1. What is the difference between EBIT and EBITDA
Ans. 
EBIT is earnings before interest and taxes, while EBITDA is earnings before interest, taxes, depreciation, and amortization.
• EBIT excludes depreciation and amortization expenses, while EBITDA includes them.

• EBITDA provides a clearer picture of a company's operating performance by removing the impact of non-operating expenses.

• EBIT is commonly used to analyze profitability, while EBITDA is often used to assess a company's ...read more
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Q2. How decrease of 10% depreciation would affect financial statements
Ans. 
A 10% decrease in depreciation would result in higher net income and retained earnings on the financial statements.
• Net income would increase as depreciation expense is lower, leading to higher profits.

• Retained earnings would also increase as net income contributes to this account.

• The company's assets would appear higher on the balance sheet due to lower accumulated depreciation.

• Investors may view the company more favor...read more
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Q1. Do you have any experience into recruitment?
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How can you manage daily travelling?

Q1. What programming language are you most proficient?
Ans. 
I am most proficient in Java.
• Extensive experience in developing applications using Java

• Strong understanding of object-oriented programming principles

• Familiarity with popular Java frameworks like Spring and Hibernate
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Q2. .NET, Angular and Sql Server
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Q1. How would you design a system that needs to handle million of records
Ans. 
I would design a system using scalable architecture, efficient data storage, and optimized query processing.
• Utilize a distributed database system like Cassandra or Hadoop for storing large volumes of data

• Implement data partitioning and sharding to distribute the data across multiple servers

• Use indexing and caching mechanisms to optimize query performance

• Employ load balancing techniques to evenly distribute incoming req...read more
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