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Juspay Coding Question ! Previous Year Question of Juspay ! JUSPAY preparation!

8.4K views
•
June 26, 2023
by
TalentBattle.in
YouTube video player
Juspay Coding Question ! Previous Year Question of Juspay ! JUSPAY preparation!

TL;DR

Learn how to find the nearest common ancestor of two nodes in a tree, with a focus on time complexity and fundamental understanding of tree data structures.

Transcript

hello Learners I am Rohit from Talent battle in this video we are going to work on previous year coding question for just pay the difficulty level for this question is high don't forget to like comment and subscribe our Channel and share with your friends so that everyone will be benefited if you are looking for detailed preparation we have a compl... Read More

Key Insights

  • 💪 Preparation for coding questions in the just pay hiring process should include a strong understanding of algorithms, data structures, and programming fundamentals.
  • 🌲 The focus of this video is on finding the nearest common ancestor in a tree, which requires a clear understanding of tree data structures.
  • ⌛ The solution should have a time complexity of O(n) to meet the requirements of the problem statement.
  • 💁 The video provides step-by-step instructions and explanations on input/output formats, as well as the logic for finding the nearest common ancestor.
  • ⌛ Practice and time management are crucial for success in the just pay hiring process.
  • 👨‍💻 Understanding the problem statement and analyzing it thoroughly before starting the coding process is essential.
  • 😒 The code provided follows the outlined steps and uses data structures such as sets and classes to implement the solution.

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Questions & Answers

Q: What is the main focus of this video?

The video focuses on preparing for coding questions, particularly in the just pay hiring process, by covering various topics such as algorithms, data structures, and advanced coding concepts.

Q: What is the task in the provided problem statement?

The task is to find the nearest common ancestor for two given nodes in a forest, with each node having an integer value and the number of nodes potentially being very large.

Q: What is the required time complexity for the solution?

The solution should have a time complexity of O(n), where n is the number of nodes in the forest.

Q: What are the steps involved in finding the nearest common ancestor?

The steps involve starting at the root node, checking if either of the given nodes is equal to the current node, recursively searching in the left and right subtrees, and returning the common ancestor if found.

Key Insights:

  • Preparation for coding questions in the just pay hiring process should include a strong understanding of algorithms, data structures, and programming fundamentals.
  • The focus of this video is on finding the nearest common ancestor in a tree, which requires a clear understanding of tree data structures.
  • The solution should have a time complexity of O(n) to meet the requirements of the problem statement.
  • The video provides step-by-step instructions and explanations on input/output formats, as well as the logic for finding the nearest common ancestor.
  • Practice and time management are crucial for success in the just pay hiring process.
  • Understanding the problem statement and analyzing it thoroughly before starting the coding process is essential.
  • The code provided follows the outlined steps and uses data structures such as sets and classes to implement the solution.
  • Sample input/output cases are provided to demonstrate the functionality of the code.

Summary & Key Takeaways

  • This video provides guidance on how to approach coding questions in the just pay hiring process, with an emphasis on understanding algorithms and data structures.

  • The main topic of the video is finding the nearest common ancestor of two nodes in a tree, with a specified time complexity of O(n) and detailed instructions on input/output formats.

  • The video explains the step-by-step process for finding the common ancestor, covering different scenarios and providing sample input/output cases.


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