Dassault Systemes Python Developer Interview Questions and Answers

It was like 5 MCQ and two coding questions with difficult level of moderate

Q1. They asked questions from DSA,sql and some web technology which I mentioned in my resume
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Q2. What is the life cycle of react components?
Ans. 
React components go through various stages in their life cycle, from initialization to destruction.
• Initialization: Component is created and initialized with default props and state.

• Mounting: Component is rendered on the DOM for the first time.

• Updating: Component re-renders when props or state change.

• Unmounting: Component is removed from the DOM.

• Examples: componentDidMount() for mounting, componentDidUpdate() for updati
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Q1. Asked about my project and some behavioural questions
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2 hours of duration and medium level leetcode questions

Q1. What do you mean by os?
Ans. 
OS stands for Operating System. It is a software that manages computer hardware and provides services for computer programs.
• OS is the software that acts as an intermediary between computer hardware and user applications.

• It manages computer resources such as memory, processors, devices, and file systems.

• Examples of popular operating systems include Windows, macOS, Linux, and Android.
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Q2. How can deadlock be avoided?
Ans. 
Deadlock can be avoided by implementing proper resource allocation strategies and using techniques like deadlock prevention, avoidance, detection, and recovery.
• Implement proper resource allocation strategies such as resource ordering, wait-die, wound-wait, etc.

• Use techniques like deadlock prevention by ensuring that the system never enters a deadlock state, avoidance by ensuring that the system does not enter an unsafe...read more
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Aptitude Java CI/CD DevOps Unit testing HTML CSS

Q1. Technical questions same as above Puzzles to assess problem solving abilities
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Q1. General questions around CTC and expectations
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Q1. What is oops, Mostly Debugging Questions
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Q2. Pointers, Memory Allocation
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Topics: maps, sorting and simple DSA question

Q1. What is linked list? How it is stored in memory? Give real examples of linked-list.
Ans. 
A linked list is a data structure where each element points to the next element in the sequence.
• Linked list is stored in memory as nodes, where each node contains data and a reference to the next node.

• Examples of linked-list include a singly linked list, doubly linked list, and circular linked list.

• In a singly linked list, each node points to the next node. In a doubly linked list, each node points to both the next and
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Q2. How does ML models are built?
Ans. 
ML models are built by collecting and preparing data, selecting a model, training the model on the data, and evaluating its performance.
• Collect and prepare data by cleaning, transforming, and encoding it

• Select a model based on the problem at hand (e.g. regression, classification, clustering)

• Train the model using algorithms like linear regression, decision trees, or neural networks

• Evaluate the model's performance using ...read more
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Q3. Difference between array and linked list.
Ans. 
Arrays store elements in contiguous memory locations, while linked lists store elements in nodes with pointers to the next node.
• Arrays have fixed size, while linked lists can dynamically grow or shrink.

• Accessing elements in arrays is faster (O(1)), while accessing elements in linked lists is slower (O(n)).

• Inserting or deleting elements in arrays can be inefficient, as it may require shifting elements, while in linked l...read more
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Q1. Given string s, return string y which stores first occurrence of characters of s .
Ans. 
Return a string containing the first occurrence of characters in the input string.
• Create an empty string to store the result.

• Iterate through each character in the input string.

• If the character is not already in the result string, add it to the result string.

• Return the result string.
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Q2. Describe the hardest DSA questions you have ever done.
Ans. 
One of the hardest DSA questions I have done involved implementing a complex graph traversal algorithm.
• The question required understanding of graph data structures and algorithms.

• I had to implement a depth-first search or breadth-first search algorithm.

• The question may have involved finding the shortest path in a weighted graph.

• I had to consider edge cases and optimize the algorithm for efficiency.
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Q1. What are your hobbies, plans for future after 5 years?
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Round duration - 90 minutes
Round difficulty - Easy

Timing - 10AM-11:30AM
Online proctored test

Q1. 
Binary Tree Right View Problem Statement
Given a binary tree of integers, your task is to print the right view of it. The right view represents a set of nodes visible when the tree is viewed from the righ...read more
Ans. 
The task is to print the right view of a binary tree, representing nodes visible from the right side in top-to-bottom order.
• Traverse the tree level by level and keep track of the rightmost node at each level

• Print the rightmost node of each level to get the right view of the tree

• Use a queue for level order traversal and a map to store the rightmost nodes
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Q2. 
0/1 Knapsack Problem Statement
A thief is planning to rob a store and can carry a maximum weight of 'W' in his knapsack. The store contains 'N' items where the ith item has a weight of 'wi' and a value of...read more
Ans. 
Yes, the 0/1 Knapsack problem can be solved using dynamic programming with a space complexity of not more than O(W).
• Use a 1D array to store the maximum value that can be stolen for each weight from 0 to W.

• Iterate through each item and update the array based on whether including the item would increase the total value.

• The final value in the array at index W will be the maximum value that can be stolen.
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Round duration - 45 minutes
Round difficulty - Medium

Timing : 4PM-5PM
Environment - Online

There was a panel of 3 interviewers

Q1. How can you find the size of an array in C or C++ without using sizeof or any standard function?
Ans. 
You can find the size of an array in C or C++ by dividing the total size of the array by the size of one element.
• Calculate the total size of the array by multiplying the number of elements by the size of each element.

• Divide the total size by the size of one element to get the size of the array.

• For example, if you have an array of strings arr[] = {'hello', 'world', 'example'}, you can find the size by dividing the total
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Q2. Explain how indexing in a database works using B+ trees.
Ans. 
B+ trees are used for indexing in databases to efficiently search and retrieve data.
• B+ trees are balanced trees where each node can have multiple keys and child pointers.

• Data is stored in leaf nodes, while non-leaf nodes are used for navigation.

• B+ trees are commonly used in databases because of their ability to efficiently search and retrieve data.

• Example: In a database table with an index on a specific column, B+ tree...read more
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Round duration - 45 mintues
Round difficulty - Easy

Timing - 11AM-12:15PM
Environment - online video call

Again there was a panel of 2 senior engineers

Q1. 
Maximum Path Sum Problem Statement
You are given an n-ary tree consisting of 'N' nodes. Your task is to determine the maximum sum of the path from the root to any leaf node.
Example:
Input:
For the giv...read more
Ans. 
Find the maximum sum of the path from the root to any leaf node in an n-ary tree.
• Traverse the tree from root to leaf nodes while keeping track of the sum of each path.

• At each node, calculate the sum of the path from the root to that node and update the maximum sum found so far.

• Consider using depth-first search (DFS) or breadth-first search (BFS) for tree traversal.

• Handle cases where nodes have negative values or where
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Q1. Write down the recursion tree for this code:
Ans. 
Recursion tree for a given code
• Identify the base case of the recursion

• Draw a tree structure with each recursive call as a node

• Label each node with the input parameters and return values
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