Metropolis Healthcare Java Developer Interview Questions and Answers

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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Q1. C++ related basic questions
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Q1. C++ and project related advanced questions
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Q1. Tell me about yourself.
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Basic problem solving easy to medium level

Q1. Coding questions based on loops, arrays
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Q1. Coding a sorting algorithm
Ans. 
Sorting algorithm arranges elements in a specific order.
• Choose an appropriate sorting algorithm based on the data size and type.

• Common sorting algorithms include bubble sort, insertion sort, merge sort, quicksort, and selection sort.

• Implement the chosen algorithm in the programming language of choice.

• Test the algorithm with various input sizes and types to ensure correctness and efficiency.
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Q1. Prepare well on arrays, lists and its operations
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Q2. Get to know well about your current project
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C++ related aptitude test. OOPs questions.

Questions related to linked list. Virtual functions and virtual destructor.
Reversing a LinkedIn list.

Q1. Project related interview.
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Q2. Which stack used?
Ans. 
We primarily use the MERN stack for our web development projects.
• MERN stack includes MongoDB, Express.js, React, and Node.js

• MongoDB is used as the database to store data

• Express.js is used as the backend framework for building APIs

• React is used for building the user interface

• Node.js is used as the server-side runtime environment
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Q3. How threads were handled?
Ans. 
Threads are handled by creating and managing lightweight processes within a program to improve performance and responsiveness.
• Threads are managed by the operating system or a thread library.

• Threads share the same memory space within a process.

• Threads can communicate with each other through shared memory or message passing.

• Thread synchronization is important to prevent race conditions and ensure data consistency.

• Example...read more
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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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They asked easy to medium DSA . It includes arrays, strings, recursion.