To answer this question, you should provide an example of a time when you had to work with a team to solve a problem, and describe your specific role and contributions to the solution. You should focus on your ability to collaborate, communicate, and contribute to the team's efforts. You should also highlight any skills or strengths that you brought to the table and how you used them to help the team achieve its goal.

# Solution 1

​

We can solve this problem by iterating through each element in the 2D array and computing the sum of its hourglass shape. We can keep track of the maximum sum found so far and return it at the end.

​

To compute the sum of an hourglass shape, we can use the following formula:

​

# sum = arr[i][j] + arr[i][j+1] + arr[i][j+2] + arr[i+1][j+1] + arr[i+2][j] + arr[i+2][j+1] + arr[i+2][j+2]

​

# where i and j are the indices of the top-left element of the hourglass shape.

​

Here is the complete solution:

```sh

from typing import List

def max_hourglass_sum(arr: List[List[int]]) -> int:

max_sum = -float('inf')  # Initialize max sum to lowest possible value

# Iterate through each element in the 2D array

for i in range(len(arr) - 2):

for j in range(len(arr[i]) - 2):

# Compute the sum of the hourglass shape

sum = arr[i][j] + arr[i][j+1] + arr[i][j+2] + arr[i+1][j+1] + arr[i+2][j] + arr[i+2][j+1] + arr[i+2][j+2]

# Update the max sum if necessary

max_sum = max(max_sum, sum)

return max_sum

```

# Solution 2

​

We can solve this problem using dynamic programming. We will use a 2D array dp where dp[i][j] represents the maximum sum of a subarray of nums ending at index i such that the difference between the minimum and maximum elements in the subarray is j.

​

# To compute dp[i][j], we can consider the following cases:

​

* If j > i, then the maximum sum is 0 because it is not possible to have a subarray of length j ending at index i.

​

* If j = 0, then the maximum sum is the sum of all elements in the subarray nums[0:i+1].

​

* If j > 0, then we can compute the maximum sum by considering all possible subarrays ending at index i such that the difference between the minimum and maximum elements is j. We can do this by iterating through all possible values of k from 0 to i and taking the maximum of dp[k][j-1] + sum(nums[k+1:i+1]).

​

We can initialize the array dp with all zeros and compute the values in a bottom-up manner. The final result is the maximum value in dp[n-1], where n is the length of nums.

​

# Here is the complete solution:

```sh

from typing import List

def max_sum(nums: List[int]) -> int:

   n = len(nums)

   # Initialize dp array with all zeros

   dp = [[0] * n for _ in range(n)]

   # Fill in the base cases

   for i in range(n):

       dp[i][0] = sum(nums[:i+1])

   # Fill in the rest of the array in a bottom-up manner

   for j in range(1, n):

       for i in range(j, n):

           for k in range(i):

               dp[i][j] = max(dp[i][j], dp[k][j-1] + sum(nums[k+1:i+1]))

   # Return the maximum value in dp[n-1]

   return max(dp[n-1])

```

# Solution 3

​

We can solve this problem using the 2 pointers technique.

​

We will maintain two pointers start and end pointing to the beginning and end of the current subarray, respectively. We will initialize start to 0 and end to 1, and move end to the right until the sum of the elements in the subarray is greater than the target value.

​

Then, we will move start to the right until the sum of the elements in the subarray is -> the target value. We will keep track of the maximum length found so far and return it at the end.

​

# Here is the complete solution:

```sh

from typing import List

def longestsubarray(arr: List[int], target: int) -> int:    

start = 0    

end = 1    

maxlen = 0  

currsum = arr[start]  

while end < len(arr):  

# Move end to the right until the sum is greater than the target        

while currsum + arr[end] <= target:            

currsum += arr[end]            

end += 1        

# Update the maximum length found so far        

maxlen = max(maxlen, end - start)        

# Move start to the right until the sum is less than or equal to the target        

while currsum > target:          

currsum -= arr[start]            

start += 1        

# Update the maximum length found so far        

maxlen = max(maxlen, end - start)    

return maxlen

```

To answer this question, you should describe your approach to tackling challenges or problems at work. You might talk about the strategies you use to identify and analyze problems, the resources you draw upon to find solutions, and the steps you take to implement and evaluate the effectiveness of your solutions. You should also emphasize your resilience, flexibility, and adaptability, and provide specific examples of times when you have successfully overcome challenges in the past.

Here is an example of how you might answer this question: "When faced with challenges or problems at work, I try to stay calm and focused, and approach the situation with a problem-solving mindset. I start by taking a step back and trying to understand the root cause of the problem, and then I brainstorm and consider different options for addressing it. I also try to seek out the perspectives of others and collaborate with my team or colleagues to come up with the best solution

To answer this question, you should provide a brief overview of your background and experience that is relevant to the role. You should also explain your motivation for applying to the position and why you are interested in working for the company. It's important to show enthusiasm and genuine interest in the opportunity, while also highlighting your relevant skills and experiences.

To answer this question, you should focus on your strengths that are relevant to the role and try to provide specific examples of how you have demonstrated these strengths in your past experiences. You should also be honest about your weaknesses, but try to frame them in a positive way by explaining how you are working to improve upon them. For example, you might say "One of my strengths is my ability to communicate effectively with team members and clients. I have always enjoyed working in collaborative environments, and I have had success in building relationships and delivering presentations. One of my weaknesses is that I sometimes struggle with time management, but I am actively working on improving this by using tools like calendars and to-do lists to stay organized and prioritize my tasks."

To answer this question, you should describe your long-term career goals in a way that aligns with the company's mission and values. You should also explain how this particular role fits into your career development plans and how it will help you achieve your goals. For example, you might say "My long-term career goal is to become a team leader in a dynamic and innovative company like yours. I believe that this role as a software engineer will provide me with valuable experience and skills that will prepare me for future leadership roles. I am particularly excited about the opportunity to work on challenging projects and to learn from experienced professionals at your company.

To answer this question, you should explain what interests you about Infosys and why you believe you would be a good fit for the organization. You should research beforehand and be familiar with Infosys mission, values, products, or services. You should also think about how your skills, experiences, and goals align with Infosys's needs and opportunities. It's important to show enthusiasm and genuine interest and to be specific about why you believe you would be a valuable addition to the team.