Communication > QUESTIONS & ANSWERS > University of New Brunswick - COMMUNICAT ICS 101Chapter 1 Quiz_ 2018-IOT FUNDAMENTALS_ BIG DATA &amp (All)

University of New Brunswick - COMMUNICAT ICS 101Chapter 1 Quiz_ 2018-IOT FUNDAMENTALS_ BIG DATA & ANALYTICS-ESCOM-T27

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Chapter 1 Quiz Due No due date Points 44 Questions 22 Time Limit None Allowed Attempts Unlimited Instrucƭons Azempt History Attempt Time Score KEPT Attempt 2 6 minutes 44 out of 44 LATEST Atte ... mpt 2 6 minutes 44 out of 44 Attempt 1 5 minutes 16 out of 44 Submitted Nov 3 at 7:59pm This quiz covers the content presented in Big Data & Analytics Chapter 1. This quiz is designed for practice. You will be allowed multiple attempts and the grade does not appear in the gradebook. There are multiple task types that may be available in this quiz. In some task types, partial credit scoring is allowed to foster learning. Please note that on tasks with multiple answers, points can be deducted for selecting incorrect options. At the completion of the quiz, some items may display feedback. The feedback will reference the source of the content. Example: "Refer to curriculum topic: 1.2.3" - indicates that the source of the material for this task is located in chapter 1, section 2, topic 3. Form: 32746 Take the Quiz Again Question 1 2 / 2 pts Which characteristic of big data describes different types of datasets that include both structured and unstructured data? velocity volume03/11/2018 Chapter 1 Quiz: 2018-IOT FUNDAMENTALS: BIG DATA & ANALYTICS-ESCOM-T27 https://81783902.netacad.com/courses/681169/quizzes/6040379?module_item_id=46699745 2/15 Correct! Correct! variety veracity Refer to curriculum topic: 1.2.1 The characteristics of big data can be described in four Vs: Volume - the amount of data being transported and stored Velocity - the rate at which this data is generated Variety - the different types of data both structured and unstructured: video, audio, text Veracity - the process of preventing inaccurate data from spoiling the data sets Question 2 2 / 2 pts A multi-campus school wants to perform analytics on classes held during the past 5 years. The school wants to know which classes filled up the quickest across all campuses and which classes filled up the quickest at each campus. The school also wants to know if there is a relationship between the number of passing students and the speed in which a class taught by a particular teacher fills. If the school could only choose one type of database to store the data on one server, which type would be best suited for this task? flat local Hadoop Correct! Correct! relational03/11/2018 Chapter 1 Quiz: 2018-IOT FUNDAMENTALS: BIG DATA & ANALYTICS-ESCOM-T27 https://81783902.netacad.com/courses/681169/quizzes/6040379?module_item_id=46699745 3/15 Refer to curriculum topic: 1.3.2 A relational database, even though it has multiple, connected tables, can reside on one server and would be best for this type of data. A local database is typically used to collect and store local data, for example, a database of all movies and music for a particular family. A flat database would most likely not be used in a multi-location school to store student data such as this. Hadoop is best to use when distributing processing power across server clusters. Question 3 2 / 2 pts Which type of information is captured and stored as events happen? [Show More]

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