Orange Renewable Software Developer Interview Questions and Answers

Machine Coding of Google Calendar

Machine Coding of MP3 Player

Q1. Find Duplicates problem
Ans. 
Find duplicates in an array of strings
• Iterate through the array and store each element in a hash set

• If an element is already in the hash set, it is a duplicate

• Return a list of all duplicates found
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Q1. Why Simpl? and compensation
Ans. 
Simpl offers a collaborative and innovative work environment with competitive compensation.
• Simpl values teamwork and creativity in software development

• Competitive compensation package offered to attract top talent

• Opportunities for growth and learning through challenging projects
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Q1. We have considered to directly send your profile to companies. How much CTC do you expect?
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Q1. Basic resume based questions
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Q2. Explain your internship experience
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Q1. Basic resume based questions
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NEED TO QUALIFY IN THIS TEST

NEED TO QUALIFY THIS TEST ALSO

Q1. SOME DSA AND ROLE BASED QUATIONS.
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Aptitude test was simple.

Q1. Asked 2 questions from recursion.
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Q1. Simple HR round.
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50 questions in 12 minutes mostly test your arthimetic, logical knowledge.

3 coding questions in 90 mins, 1st one is from arrays an easy question, 2nd one is related to stacks and queues relatively harder and last one is hard which i am also unable to attempt. I cracked the first two questions and my solutions passed all the test cases.

Q1. Difference between sorting algorithms
Ans. 
Sorting algorithms are methods used to arrange elements in a specific order.
• Different sorting algorithms include bubble sort, selection sort, insertion sort, merge sort, quick sort, and heap sort.

• Some algorithms are more efficient than others depending on the size of the data set and the initial order of the elements.

• For example, quick sort is generally faster than bubble sort for large data sets.
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Q2. BFS and DFS in trees and imlementing them
Ans. 
BFS and DFS are traversal algorithms used in trees. BFS explores level by level, while DFS explores depth first.
• BFS (Breadth-First Search) visits nodes level by level, using a queue. Example: traversing a binary tree level by level.

• DFS (Depth-First Search) explores as far as possible along each branch before backtracking. Example: in-order traversal of a binary tree.
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Q3. Sql questions and database questions
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Q1. Tell me about yourself
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Q2. Explain the college life
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