PrimeSophic Technologies Interview Questions and Answers

The task is to find the maximum amount you can definitely win in a game of coins against an opponent who plays optimally.

• The game is played with alternating turns, and each player can pick the first or last coin from the line.

• The value associated with the picked coin adds up to the total amount the player wins.

• To maximize your winnings, you need to consider all possible combinations of coin picks.

• Use dynamic programming to calculate the maximum amount you can win.

• Keep track o...read more

This question asks for finding the maximum number of vaccines administered on a specific day during a vaccination drive, given the total number of days, total number of vaccines available, and the day number.

• Read the number of test cases

• For each test case, read the number of days, day number, and total number of vaccines available

• Implement a logic to find the maximum number of vaccines administered on the given day number

• Print the maximum number of vaccines administered for e...read more

This is a problem where we need to search for a given number in a rotated sorted array.

• The array is sorted and then rotated, so we can use binary search to find the number.

• We can find the pivot point where the rotation happened and then perform binary search on the appropriate half of the array.

• To find the pivot point, we can use a modified binary search algorithm.

• Once we find the pivot point, we can determine which half of the array the target number lies in and perform bina...read more

The task is to find the smallest number greater than the given number, with the same set of digits.

• Iterate through the digits of the given number from right to left.

• Find the first digit that is smaller than the digit to its right.

• Swap this digit with the smallest digit to its right that is greater than it.

• Sort the digits to the right of the swapped digit in ascending order.

• If no such digit is found, return -1.

To build a pipeline for a Machine learning project, you need to collect data, preprocess it, train the model, evaluate its performance, and deploy it.

• Collect relevant data from various sources

• Preprocess the data by cleaning, transforming, and normalizing it

• Split the data into training and testing sets

• Train the machine learning model using the training data

• Evaluate the model's performance using the testing data

• Fine-tune the model if necessary

• Deploy the model into production en...read more