QBrainX Intern Interview Questions and Answers

Was 1 hr with a simple question from leetcode

Q1. Implement reverse Linked list
Ans. 
Reverse a linked list
• Create a new linked list to store the reversed elements

• Traverse the original linked list and insert each node at the beginning of the new list

• Update the head of the new list as the last node of the original list
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Q2. Project Explanation(from resume)
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Q1. Why we should select you?
Ans. 
I am a dedicated and hardworking individual with relevant skills and experience for the role.
• I have completed relevant coursework in the field

• I have previous internship experience in a similar role

• I possess strong communication and teamwork skills
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Q2. Are you willing to relocate?
Ans. 
Yes, I am open to relocating for the right opportunity.
• I am open to relocating for the right opportunity

• I am flexible and willing to move for the internship

• I understand the importance of being open to relocation for career growth
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Q1. Oops concepts, core java
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Q2. Java 8 stream api and lambda
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If you are a fresher , then this is for you else almost no coding test for experienced candidates.

Q1. Javascript basics, Angular react general questions depends upon profile.
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Q1. They asked general questions related to some hectic situation faced in previous company / project..
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Q1. What is Tuples? How do you convert a string to a tuple?
Ans. 
Tuples are immutable sequences of elements. A string can be converted to a tuple using the tuple() function.
• Tuples are similar to lists but are immutable

• Elements of a tuple are enclosed in parentheses ()

• A string can be converted to a tuple using the tuple() function

• Each character in the string becomes an element in the tuple
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Q2. What is Left Join? Show one Left join for 2 data frames on Python
Ans. 
Left join is a type of join operation in SQL that returns all the rows from the left table and matching rows from the right table.
• Left join is performed using the 'left join' keyword in SQL

• In Python, left join can be performed using the 'merge' function from the pandas library

• Syntax: pd.merge(left_dataframe, right_dataframe, how='left', on='key_column')

• Example: pd.merge(df1, df2, how='left', on='id')
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Good Knowledge of DSA is required