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10+ Decor Network Interview Questions and Answers
Q1. Problem Statement: Delete Node In A Linked List
Given a singly linked list of integers and a reference to a node, your task is to delete that specific node from the linked list. Each node in the linked list has...read more
Q2. Count Inversions Problem Statement
Given an integer array ARR of size N, your task is to find the total number of inversions that exist in the array.
An inversion is defined for a pair of integers in the array ...read more
Q3. Maximum Subarray Sum Problem Statement
Given an array of integers, determine the maximum possible sum of any contiguous subarray within the array.
Example:
Input:
array = [34, -50, 42, 14, -5, 86]
Output:
137
E...read more
Q4. Merge Sort Problem Statement
You are given a sequence of numbers, ARR. Your task is to return a sorted sequence of ARR in non-descending order using the Merge Sort algorithm.
Explanation:
The Merge Sort algorit...read more
Q5. You are given a triangle with height h and base length b and a square of side length a. How many squares can you fit in triangle? Need to derive formula
Formula to calculate number of squares that can fit inside a triangle
Calculate the area of the triangle and the area of the square
Divide the area of the triangle by the area of the square to get the number of squares that can fit inside the triangle
Formula: (h*b)/(a*a)
Q7. differences between them and how it is better than linear regression
Logistic regression is used for classification while linear regression is used for regression analysis.
Logistic regression predicts the probability of an event occurring, while linear regression predicts the value of a continuous variable.
Logistic regression uses a sigmoid function to map input values to a probability between 0 and 1.
Linear regression assumes a linear relationship between the independent and dependent variables, while logistic regression does not.
Logistic reg...read more
Q9. what is SVM (Support Vector Machines
SVM is a machine learning algorithm used for classification and regression analysis.
SVM finds the best hyperplane that separates data into different classes.
It works by maximizing the margin between the hyperplane and the closest data points.
SVM can handle both linear and non-linear data using kernel functions.
It is widely used in image classification, text classification, and bioinformatics.
SVM has been shown to be effective in solving complex problems with high-dimensional ...read more
Q10. What is Screen scraping and data scraping
Screen scraping is extracting data from a website's HTML code, while data scraping is extracting data from various sources.
Screen scraping involves extracting data from the visual representation of a website, usually using automation tools like web scrapers.
Data scraping involves extracting data from various sources such as databases, APIs, and documents.
Both screen scraping and data scraping are used to collect and analyze data for various purposes like market research, pric...read more
Q11. Difference b/w full and partial selectors
Full selectors select all descendants of a specified element, while partial selectors select only direct children.
Full selectors use a space between the parent and child elements, while partial selectors use the > symbol.
Full selectors are more general and can target multiple levels of descendants, while partial selectors are more specific and target only direct children.
Example of full selector: div p selects all
elements inside
elements.Example of partial selector: div > ...read more
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