HSBC Group Full Stack Software Developer Interview Questions and Answers

Question about counting digits and basic java code

Q1. Describe previous projects Challenges you faced previously Some technical questions based on the experience
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Hackerrank Coding - They have asked 2 questions.

Q1. OOPS Concepts and general questions.
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Q2. About the project I have worked on.
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Q1. Package, relocation and sponsorship for staying in the US
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Q1. Finalizer and un manageable resources
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Round duration - 45 Minutes
Round difficulty - Hard

Q1. 
Find the Duplicate Number Problem Statement
Given an integer array 'ARR' of size 'N' containing numbers from 0 to (N - 2). Each number appears at least once, and there is one number that appears twice. Yo...read more
Ans. 
Find the duplicate number in an integer array containing numbers from 0 to (N - 2).
• Iterate through the array and keep track of the frequency of each number using a hashmap.

• Return the number that appears twice in the array.

• The duplicate number is always present in the given array.
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Round duration - 50 Minutes
Round difficulty - Easy

Q1. 
Bubble Sort Problem Statement
Sort an unsorted array of non-negative integers using the Bubble Sort algorithm, which swaps adjacent elements if they are not in the correct order to sort the array in non-d...read more
Ans. 
Bubble Sort is used to sort an array of non-negative integers in non-decreasing order by swapping adjacent elements if they are not in the correct order.
• Iterate through the array and compare adjacent elements, swapping them if they are in the wrong order.

• Repeat this process until the array is sorted in non-decreasing order.

• Time complexity of Bubble Sort is O(n^2) in worst case.

• Example: For input [6, 2, 8, 4, 10], the o
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Round duration - 60 Minutes
Round difficulty - Medium

Q1. 
Unweighted Graph Shortest Path Problem
You are tasked with finding the shortest path between two houses in the city of Ninjaland, represented as an unweighted graph. The city has N houses numbered from 1 ...read more
Ans. 
Find the shortest path between two houses in a city represented as an unweighted graph.
• Use breadth-first search (BFS) algorithm to find the shortest path in an unweighted graph.

• Start BFS from the source house and keep track of the shortest path to each house.

• Once the destination house is reached, backtrack to find the shortest path.

• Consider using a queue data structure to implement BFS efficiently.
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Round duration - 60 Minutes
Round difficulty - Easy