Care Health Insurance Android Developer Interview Questions and Answers

Round duration - 45 minutes
Round difficulty - Medium

I applied thorough LinkedIn and got a call from HR for the interview.
I went to their Noida Office.
First round was mainly focused on Javascript fundamentals.
Interviewer was also friendly.

Round duration - 1 hour
Round difficulty - Medium

Second round was after 15 minutes of the first round. The focus of this round was DS & Algorithms.

Q1. 
Find Subarray with Given Sum
Given an array ARR of N integers and an integer S, determine if there exists a subarray (of positive length) within the given array such that the sum of its elements equals S....read more
Ans. 
Given an array and a target sum, find a subarray that sums up to the target sum.
• Iterate through the array while keeping track of the running sum and the starting index of the subarray.

• Use a hashmap to store the running sum and its corresponding index.

• If the running sum - target sum is found in the hashmap, it means a subarray with the target sum exists.

• Return the starting and ending indices of the subarray or [-1, -1]
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Q2. 
Minimum Number of Platforms Required
You are provided with two arrays, AT and DT, representing the arrival and departure times of all trains arriving at a railway station.
Your task is to determine the m...read more
Ans. 
This question asks to find the minimum number of platforms required at a railway station so that no train needs to wait.
• Sort the arrival and departure times arrays in ascending order.

• Initialize a variable 'platforms' to 1 and 'maxPlatforms' to 1.

• Iterate through the arrival and departure times arrays simultaneously.

• If the current arrival time is less than or equal to the current departure time, increment 'platforms'.

• If ...read more
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Round duration - 30 minutes
Round difficulty - Easy

Q1. What JavaScript questions did he ask you during the managerial round, and can you describe the work culture of his team?
Ans. 
The interviewer asked about JavaScript questions and the work culture of the team during the managerial round.
• JavaScript questions related to closures, prototypes, event handling, and asynchronous programming may have been asked.

• Work culture may involve collaboration, innovation, agile methodologies, and continuous learning.

• Examples of work culture could include regular team meetings, code reviews, hackathons, and ment
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Round duration - 15 minutes
Round difficulty - Easy

Round duration - 120 Minutes
Round difficulty - Medium

Timing was 3PM to 5 PM
There were 4 coding questions based on Dynamic Programming , Graphs, Mathematical analysis , Trie data structure.

Q1. 
Weighted Job Scheduling Problem Statement
You have 'N' jobs, each with a start time, end time, and profit. Your task is to identify the maximum profit that can be earned by scheduling these jobs such that...read more
Ans. 
The Weighted Job Scheduling problem involves maximizing profit by scheduling non-overlapping jobs with start time, end time, and profit given.
• Sort the jobs based on their end times in ascending order.

• Initialize an array 'dp' to store the maximum profit that can be earned by scheduling jobs up to that index.

• For each job, find the maximum profit by either including or excluding the current job based on non-overlapping co...read more
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Round duration - 60 Minutes
Round difficulty - Easy

The interviewer was very soft spoken and helpful. There were in total 3 questions of easy-medium difficulty based on DP, Graphs and Sorting . It was around 11 AM timing.

Q1. 
Knight Probability in Chessboard
Calculate the probability that a knight remains on an N x N chessboard after making K moves. Initially, the knight is placed at a given position on the board. It can move ...read more
Ans. 
Calculate the probability that a knight remains on an N x N chessboard after making K moves.
• Use dynamic programming to calculate the probability of the knight staying on the board after each move.

• Consider all possible moves the knight can make from its current position.

• Keep track of the probabilities at each position on the board after each move.

• Normalize the probabilities at the end to get the final result.

• Example: Fo...read more
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Round duration - 60 Minutes
Round difficulty - Medium

The round had 1 DS and Algo problem and 1 system Design question based on building any management portal.

Q1. 
Snake and Ladder Problem Statement
Given a 'Snake and Ladder' board with N rows and N columns, where positions are numbered from 1 to (N*N) starting from the bottom left, alternating direction each row, f...read more
Ans. 
Find the minimum number of dice throws required to reach the last cell on a 'Snake and Ladder' board.
• Use Breadth First Search (BFS) to find the shortest path from the starting cell to the last cell.

• Create a mapping of each cell to its corresponding destination cell if it contains a snake or ladder.

• Keep track of visited cells to avoid revisiting them during the traversal.

• Consider the constraints and handle cases where t...read more
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Round duration - 30 Minutes
Round difficulty - Easy

It was more of Hiring Manager round where he asked about my skills , my projects and how could i be valuable to firm. It was quit easy going round

Round duration - 60 Minutes
Round difficulty - Medium

Q1. 
Best Time To Buy and Sell Stock Problem Statement
You are given an array 'PRICES' of 'N' integers, where 'PRICES[i]' represents the price of a certain stock on the i-th day. An integer 'K' is also provide...read more
Ans. 
Determine the maximum profit achievable with at most K transactions by buying and selling stocks.
• Iterate through the array and keep track of the minimum price to buy and maximum profit to sell.

• Use dynamic programming to calculate the maximum profit with at most K transactions.

• Consider edge cases like when K is 0 or when the array is empty.

• Example: For input N = 6, PRICES = [3, 2, 6, 5, 0, 3], K = 2, the output should b
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Q2. 
Maximum Sum Rectangle Problem Statement
Given a matrix ARR with dimensions N x M, your task is to identify the rectangle within the matrix that has the maximum sum of its elements.
Input:
The first line...read more
Ans. 
Find the rectangle with the maximum sum of elements in a given matrix.
• Iterate through all possible rectangles in the matrix and calculate the sum of each rectangle.

• Keep track of the maximum sum encountered so far.

• Optimize the solution by using Kadane's algorithm for 1D array to find maximum sum subarray in each row.
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Q3. 
Snake and Ladder Problem Statement
Given a 'Snake and Ladder' board with N rows and N columns, where positions are numbered from 1 to (N*N) starting from the bottom left, alternating direction each row, f...read more
Ans. 
Find the minimum number of dice throws required to reach the last cell on a 'Snake and Ladder' board.
• Use Breadth First Search (BFS) to find the shortest path from the starting cell to the last cell.

• Keep track of visited cells and the number of dice throws required to reach each cell.

• Consider the presence of snakes and ladders while calculating the next possible moves.

• Return the minimum number of dice throws to reach th
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Round duration - 70 Minutes
Round difficulty - Medium

Q1. 
Longest Increasing Subsequence Problem Statement
Given an array of integers with 'N' elements, determine the length of the longest subsequence where each element is greater than the previous element. This...read more
Ans. 
Find the length of the longest strictly increasing subsequence in an array of integers.
• Use dynamic programming to solve this problem efficiently.

• Initialize an array to store the length of the longest increasing subsequence ending at each index.

• Iterate through the array and update the length of the longest increasing subsequence for each element.

• Return the maximum value in the array as the result.
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Q2. 
Longest Increasing Path in a 2D Matrix Problem Statement
Given a matrix of non-negative integers of size 'N x M', where 'N' and 'M' denote the number of rows and columns respectively, find the length of t...read more
Ans. 
Find the length of the longest increasing path in a 2D matrix by moving in four directions from each cell.
• Use dynamic programming to keep track of the length of the longest increasing path starting from each cell.

• Explore all four directions from each cell and recursively find the longest increasing path.

• Optimize the solution by storing the length of the longest increasing path starting from each cell to avoid redundant
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Round duration - 45 Minutes
Round difficulty - Medium

Q1. 
Search In Rotated Sorted Array Problem Statement
Given a rotated sorted array ARR of size 'N' and an integer 'K', determine the index at which 'K' is present in the array.
Note:
1. If 'K' is not present...read more
Ans. 
Given a rotated sorted array, find the index of a given integer 'K'.
• Use binary search to find the pivot point where the array is rotated.

• Based on the pivot point, apply binary search on the appropriate half of the array to find 'K'.

• Handle cases where 'K' is not present in the array by returning -1.
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