AmbitionBox Node JS Developer Interview Questions and Answers for Experienced

A Google Form-based Aptitude Test with Basic Questions

Q1. Asked Basic Time Complexity and DSA Questions like Time Complexity Of quick sort use of stack Data Structure etc
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It was the final round asked to do a medium-level coding Question to convert a number such as 244 to word i.e Two Hundred and Forty four

It was an assignment where we were instructed to create a screen that fetches data from the backend and renders it with the functionality of bookmarking.

Q1. Easy opps and java
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Q1. Puzzles , above myself and sql
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Core Java, Spring boot, Hibernate, MySQL

Q1. Technical Questions
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Q2. Logic Problems
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Q1. Logic Problems solving (face to face interview)
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Q2. Personality check
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Q1. Basic discussions
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Q2. Expectations to work
Ans. 
I expect a collaborative environment, opportunities for growth, and clear communication to enhance productivity and job satisfaction.
• Collaboration: I thrive in teams where ideas are shared openly, like during code reviews or brainstorming sessions.

• Growth Opportunities: I appreciate companies that invest in employee development, such as offering training programs or workshops.

• Clear Communication: Regular updates and fee...read more
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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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Question from Array,DP

Q1. Resume based only
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Q2. Data structure and algorithms
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Q3. Object oriented programmings
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Q1. Behavioural questions
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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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