Siemens Healthineers C Developer Interview Questions, Process, and Tips

Round duration - 60 minutes
Round difficulty - Medium

30 Aptitude problems and two coding questions

Q1. 
Count Inversions Problem Statement
Given an integer array ARR of size N, your task is to find the total number of inversions that exist in the array.
An inversion is defined for a pair of integers in the...read more
Ans. 
Count the total number of inversions in an integer array.
• Iterate through the array and for each pair of elements, check if the conditions for inversion are met.

• Use a nested loop to compare each pair of elements efficiently.

• Keep a count of the inversions found and return the total count at the end.
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Q2. 
Maximum Subarray Sum Problem Statement
Given an array of integers, determine the maximum possible sum of any contiguous subarray within the array.
Example:
Input:
array = [34, -50, 42, 14, -5, 86]
Out...read more
Ans. 
Find the maximum sum of any contiguous subarray within an array of integers.
• Iterate through the array and keep track of the maximum sum of subarrays encountered so far.

• At each index, decide whether to include the current element in the subarray or start a new subarray.

• Use Kadane's algorithm to solve the problem efficiently.

• Example: For array [34, -50, 42, 14, -5, 86], the maximum subarray sum is 137.
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Round duration - 90 minutes
Round difficulty - Medium

Data structure and algorithms plus object oriented problems

Q1. 
Merge Sort Problem Statement
You are given a sequence of numbers, ARR. Your task is to return a sorted sequence of ARR in non-descending order using the Merge Sort algorithm.
Explanation:
The Merge Sort...read more
Ans. 
Implement Merge Sort algorithm to sort a sequence of numbers in non-descending order.
• Divide the input array into two halves recursively until each array has only one element.

• Merge the sorted halves to produce a completely sorted array.

• Time complexity of Merge Sort is O(n log n).

• Example: Input: [3, 1, 4, 1, 5], Output: [1, 1, 3, 4, 5]
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Q2. 
Problem Statement: Delete Node In A Linked List
Given a singly linked list of integers and a reference to a node, your task is to delete that specific node from the linked list. Each node in the linked li...read more
Ans. 
Given a singly linked list of integers and a reference to a node, delete the specified node from the linked list.
• Traverse the linked list to find the node to be deleted

• Update the pointers to skip over the node to be deleted

• Print the modified linked list after deletion
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Round duration - 60 miinutes
Round difficulty - Easy

Database questions and discussion about projects

Q1. What is a normal form in database management systems, and can you explain Boyce-Codd Normal Form (BCNF)?
Ans. 
Normal forms in database management systems help in organizing data to reduce redundancy and improve data integrity.
• Normal forms are rules used to design relational database tables to minimize redundancy and dependency.

• Boyce-Codd Normal Form (BCNF) is a stricter version of Third Normal Form (3NF) where every determinant is a candidate key.

• BCNF helps in eliminating anomalies like insertion, update, and deletion anomalie...read more
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Q2. What is the difference between the 'WHILE' keyword and the 'HAVING' keyword in SQL?
Ans. 
WHILE is used in loops to repeatedly execute a block of code, while HAVING is used in SQL queries to filter results based on aggregate functions.
• WHILE is used in programming languages like SQL to create loops for executing a block of code multiple times.

• HAVING is used in SQL queries to filter results based on aggregate functions like SUM, COUNT, AVG, etc.

• WHILE is used for iterative operations, while HAVING is used for
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Two Easy questions to be solved

Q1. Some Technical based questions
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Q2. It was amazing . Interviewer asked me to code for heap sort and asked me to explain.
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Q3. Write a code for heap sort algorithm and explain it?
Ans. 
Heap sort is a comparison-based sorting algorithm that uses a binary heap data structure.
• Heap sort works by building a binary heap from the array and then repeatedly extracting the maximum element and placing it at the end of the array.

• The heap is maintained as a complete binary tree, where each parent node is greater than or equal to its children.

• The time complexity of heap sort is O(n log n) and it is an in-place sor...read more
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Q1. Difference b/w full and partial selectors
Ans. 
Full selectors select all descendants of a specified element, while partial selectors select only direct children.
• Full selectors use a space between the parent and child elements, while partial selectors use the > symbol.

• Full selectors are more general and can target multiple levels of descendants, while partial selectors are more specific and target only direct children.

• Example of full selector: div p selects all

  ele...read more
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Q2. What is Screen scraping and data scraping
Ans. 
Screen scraping is extracting data from a website's HTML code, while data scraping is extracting data from various sources.
• Screen scraping involves extracting data from the visual representation of a website, usually using automation tools like web scrapers.

• Data scraping involves extracting data from various sources such as databases, APIs, and documents.

• Both screen scraping and data scraping are used to collect and an...read more
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Q1. Oops related insharitance encapsulation
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It was medium to difficult level test

Q1. Questions about core subjects like oops pillars
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Q2. Questions about projects, technologies used
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Q1. Why do you want to join this
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Q2. Your previous experience and questions about your background
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They asked easy to medium DSA . It includes arrays, strings, recursion.

Computer fundamentals

Q1. Technical questions of projects ,dsa
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Q1. What is ur background
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Q2. Manegarial and behavioral questions
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