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CrossML Interview Questions and Answers
Updated 5 Feb 2024
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Software Developer InterviewQ1. Alien dictionary
You have been given a sorted (lexical order) dictionary of an alien language. Write a function that finds the order of characters in the alien language. This dictionary will be given to you in t...read more
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Software Developer InterviewQ2. Flood Fill Algorithm
Ninja has found his new passion for photography. He has clicked some really good photos but in one of his images, he doesn’t like the color of a particular region. So, he decides to change t...read more
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Software Developer InterviewQ3. The Skyline Problem
You are given 'N' rectangular buildings in a 2-dimensional city. Your task is to compute the skyline of these buildings, eliminating hidden lines return the skyline formed by these buildings ...read more
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Software Developer InterviewQ4. Check if the Word is present in Sentence or not
You have been given a sentence ‘S’ in the form of a string and a word ‘W’, you need to find whether the word is present in the given sentence or not. The word must...read more
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Software Developer InterviewQ5. Reverse Words In A String
You are given a string of length N. You need to reverse the string word by word. There can be multiple spaces between two words and there can be leading or trailing spaces but in the ou...read more
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Software Developer InterviewQ6. Rat In A Maze
You are given a starting position for a rat which is stuck in a maze at an initial point (0, 0) (the maze can be thought of as a 2-dimensional plane). The maze would be given in the form of a squar...read more
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Software Developer InterviewQ7. Application Question
Consume this API to upload your basic details like Name, Email, College Id, Registration No., and your Code to move to the next step. Any response other than ‘Your details have been submitte...read more
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Software Developer InterviewQ8. longest common subsequence of two string
Ans.
The longest common subsequence of two strings is the longest sequence of characters that appear in the same order in both strings.
Use dynamic programming to solve this problem efficiently.
Create a 2D array to store the lengths of the longest common subsequences.
Iterate through the characters of both strings and update the array based on the matching characters.
Trace back the array to find the longest common subsequence.
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