Final Exam Questions and Answers: Data Science and Big Data Analysis

This document presents a comprehensive final exam for a Data Science and Big Data course. It includes a variety of question types, such as multiple-choice, short answer, and long answer questions, providing a thorough assessment of the student's understanding of key concepts. The exam covers a range of topics, including Neo4j and graph databases (Cypher queries, node labels, cache sharding), text mining techniques, data visualization principles, and supervised learning methods. The short answer questions require explanations of various concepts, while the long answer questions delve deeper into advantages of graph databases, the importance of data visualization for managers, and the steps involved in data visualization. The solutions provided offer detailed explanations and insights, making this document a valuable resource for students preparing for their final exam and for those looking for solved assignments on the Desklib platform.